diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6c647eccf71b2d5098bef28ba18cb89d0aeb052d --- /dev/null +++ b/README.md @@ -0,0 +1,53 @@ +--- +license: cc-by-4.0 +pretty_name: AriaCloudTrail laboratory AWS CloudTrail events +task_categories: + - text-classification + - time-series-forecasting +tags: + - cybersecurity + - cloud-security + - audit-log + - aws-cloudtrail + - synthetic +language: + - en + - fa +size_categories: + - 1K

Needs security review

14

4 context changes

Parse coverage

100%

319/319

Insufficient rows

3

missing time/event or request body

Test event recall

100%

rule-severity baseline: 1.0

Precision @ 8/day

100%

held-out daily review capacity

Change-type accuracy

100%

gold eventName mapping

False alarms / account-day

0.000

security-review without a review label

Analyze time

1.3s

T=3.0

", + "validation_ok": true, + "precomputed": true +} \ No newline at end of file diff --git a/data/schema.json b/data/schema.json new file mode 100644 index 0000000000000000000000000000000000000000..f03b3b00bd01b7d26d50938b8a4a5503b221f79a --- /dev/null +++ b/data/schema.json @@ -0,0 +1,28 @@ +{ + "schema_id": "ariacloudtrail.change_event.v1", + "required_after_parse": [ + "timestamp", + "event_name" + ], + "cloudtrail_fields": [ + "eventTime", + "eventName", + "eventSource", + "userIdentity", + "recipientAccountId" + ], + "timezone": "UTC", + "null_meaning": "missing field, not a safe default", + "change_types": [ + "iam_privilege_grant", + "iam_credential_create", + "security_group_ingress", + "s3_public_exposure", + "trail_logging_change", + "kms_control_change", + "root_activity", + "instance_exposure", + "role_trust_change", + "detector_disable" + ] +} \ No newline at end of file diff --git a/data/splits.json b/data/splits.json new file mode 100644 index 0000000000000000000000000000000000000000..95b123d2b35d03a164db8012f3f307687fde346b --- /dev/null +++ b/data/splits.json @@ -0,0 +1,7 @@ +{ + "development": "2026-04-01T00:00:00Z/2026-04-10T00:00:00Z", + "test": "2026-04-10T00:00:00Z/2026-04-15T00:00:00Z", + "group": "account and period; one authored event stays in one split", + "service_principals": "AssumedRole actors are modeled separately from IAM users", + "history": "before/after and burst counts use only earlier events" +} \ No newline at end of file diff --git a/demo/.gitattributes b/demo/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..db71e0acbbac7951e90491365504d18ba4f01c62 --- /dev/null +++ b/demo/.gitattributes @@ -0,0 +1,11 @@ +* text=auto eol=lf +*.py text eol=lf +*.md text eol=lf +*.csv text eol=lf +*.json text eol=lf +*.jsonl text eol=lf +*.yml text eol=lf +*.yaml text eol=lf +*.html text eol=lf +*.txt text eol=lf +*.log text eol=lf diff --git a/demo/.gitignore b/demo/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..0d95c87afa1421a3d8a818e3be373e6b58a95d8c --- /dev/null +++ b/demo/.gitignore @@ -0,0 +1,8 @@ +__pycache__/ +*.py[cod] +.pytest_cache/ +.venv/ +.venv-cloudtrail/ +*.egg-info/ +.DS_Store +reports/ diff --git a/demo/README.md b/demo/README.md new file mode 100644 index 0000000000000000000000000000000000000000..52eed84390c67f7092791d3c2a210d43fbe5349f --- /dev/null +++ b/demo/README.md @@ -0,0 +1,55 @@ +--- +title: AriaCloudTrail Sensitive Change Review +emoji: ☁️ +colorFrom: blue +colorTo: indigo +sdk: gradio +sdk_version: 6.15.1 +app_file: app.py +fullWidth: true +python_version: "3.12" +short_description: Review CloudTrail changes; maintenance is not exposure +pinned: true +license: apache-2.0 +tags: + - cybersecurity + - cloud-security + - audit-log + - text-analysis + - data-visualization +datasets: + - AriaAICompany/cloudtrail-lab +--- + +# AriaCloudTrail — Sensitive Cloud Change Review + +**Aria AI** workstation for Cloud SOC. Exported AWS CloudTrail is parsed, actors and resources are aliased, and **ten change families** are ranked for a human look. An approved Sunday staging window is context. A single `Put*` or `Delete*` event is a request, not proof of current exposure. + +Severity, confidence, and approval status stay three separate fields. This Space never asks for cloud credentials and never changes IAM, S3, security groups, or CloudTrail. + +## What you can do + +1. Run the 14-day 3-account laboratory pack (seed 16) or upload CloudTrail `Records` JSON / JSONL / CSV. +2. Compare AriaCloudTrail with raw `eventName` severity, a role/time baseline, limited correlation, and maintenance-aware rules. +3. Move threshold T and see **alert count and held-out event recall together**, plus precision at a daily review capacity of eight changes. +4. Open a change card for redacted evidence `event_id` values, before/after only when both sides exist, and the actor timeline. Filter actor, resource, or change type. +5. Download a hashed CSV/JSON bundle for this run. + +CPU only. No paid API. Account IDs, ARNs, IPs, and access keys are not shown raw. + +## Hosting + +- Dataset: [AriaAICompany/cloudtrail-lab](https://huggingface.co/datasets/AriaAICompany/cloudtrail-lab) +- Collection: [Aria AI — Cybersecurity](https://huggingface.co/collections/AriaAICompany/aria-ai-cybersecurity-6ab01faa3995a3bb737b58a7) +- Live app: `alirezaaminzadeh/aria-cloud-trail` when Gradio hosting is available +- Organization card: `AriaAICompany/aria-cloud-trail` (static; org Gradio needs Team/Enterprise) + +## Persian + +آریاکلودتریل رویدادهای مدیریتی CloudTrail آزمایشگاهی را به ده نوع تغییر نگاشت می‌کند و پنجره نگهداری تأییدشده را از رفتار نیازمند بررسی جدا می‌کند. یک رویداد به‌تنهایی مواجهه فعلی ابر را ثابت نمی‌کند. قبل/بعد فقط وقتی هر دو موجود باشند نشان داده می‌شود. اعتبارنامه ابر خواسته نمی‌شود و هیچ تغییری اعمال نمی‌شود. + +## Links + +- [AriaAICompany](https://huggingface.co/AriaAICompany) +- [aria-ai.ir](https://aria-ai.ir/) +- Roadmap project 16 of 25 diff --git a/demo/app.py b/demo/app.py new file mode 100644 index 0000000000000000000000000000000000000000..fbeebe37329724064e55b609c2cb8f168baa7dbb --- /dev/null +++ b/demo/app.py @@ -0,0 +1,8 @@ +import gradio as gr + +from src.ui import CSS, build_demo + +demo = build_demo() + +if __name__ == "__main__": + demo.launch(theme=gr.themes.Soft(primary_hue="sky", secondary_hue="slate"), css=CSS) diff --git a/demo/evaluations/evaluation.json b/demo/evaluations/evaluation.json new file mode 100644 index 0000000000000000000000000000000000000000..68951ae58799d35749945c07041ebf68820f5011 --- /dev/null +++ b/demo/evaluations/evaluation.json @@ -0,0 +1,289 @@ +{ + "seed": 16, + "n_events": 319, + "n_accounts": 3, + "n_gold": 21, + "kpis": { + "n_raw": 319, + "n_valid": 319, + "n_dropped": 0, + "n_changes": 23, + "n_security_review": 14, + "n_context": 4, + "n_incomplete": 3, + "parse_coverage": 1.0, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "seconds": 1.275, + "threshold": 3.0, + "model_names": "rules+baseline+correlation", + "daily_capacity": 8 + }, + "comparison": [ + { + "method": "rule_severity", + "split": "development", + "event_recall": 1.0, + "precision_at_k": 0.7143, + "false_alarms_per_account_day": 0.1154, + "change_type_accuracy": 1.0, + "maintenance_as_security": 2, + "ungrounded_claims": 0, + "n_security_alerts": 10, + "n_context_alerts": 0, + "n_review_events": 7, + "parse_coverage": 1.0 + }, + { + "method": "role_time_baseline", + "split": "development", + "event_recall": 0.2857, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 2, + "n_context_alerts": 0, + "n_review_events": 7, + "parse_coverage": 1.0 + }, + { + "method": "correlation", + "split": "development", + "event_recall": 0.1429, + "precision_at_k": 0.5, + "false_alarms_per_account_day": 0.0385, + "change_type_accuracy": 1.0, + "maintenance_as_security": 1, + "ungrounded_claims": 0, + "n_security_alerts": 2, + "n_context_alerts": 0, + "n_review_events": 7, + "parse_coverage": 1.0 + }, + { + "method": "maintenance_aware_rules", + "split": "development", + "event_recall": 0.8571, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 6, + "n_context_alerts": 0, + "n_review_events": 7, + "parse_coverage": 1.0 + }, + { + "method": "ariacloudtrail", + "split": "development", + "event_recall": 0.8571, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 6, + "n_context_alerts": 2, + "n_review_events": 7, + "parse_coverage": 1.0 + }, + { + "method": "rule_severity", + "split": "test", + "event_recall": 1.0, + "precision_at_k": 0.6667, + "false_alarms_per_account_day": 0.2, + "change_type_accuracy": 1.0, + "maintenance_as_security": 2, + "ungrounded_claims": 0, + "n_security_alerts": 11, + "n_context_alerts": 0, + "n_review_events": 8, + "parse_coverage": 1.0 + }, + { + "method": "role_time_baseline", + "split": "test", + "event_recall": 0.5, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 4, + "n_context_alerts": 0, + "n_review_events": 8, + "parse_coverage": 1.0 + }, + { + "method": "correlation", + "split": "test", + "event_recall": 0.5, + "precision_at_k": 0.8333, + "false_alarms_per_account_day": 0.1333, + "change_type_accuracy": 1.0, + "maintenance_as_security": 2, + "ungrounded_claims": 0, + "n_security_alerts": 6, + "n_context_alerts": 0, + "n_review_events": 8, + "parse_coverage": 1.0 + }, + { + "method": "maintenance_aware_rules", + "split": "test", + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 8, + "n_context_alerts": 0, + "n_review_events": 8, + "parse_coverage": 1.0 + }, + { + "method": "ariacloudtrail", + "split": "test", + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 8, + "n_context_alerts": 2, + "n_review_events": 8, + "parse_coverage": 1.0 + }, + { + "method": "rule_severity", + "split": "all", + "event_recall": 1.0, + "precision_at_k": 0.6944, + "false_alarms_per_account_day": 0.1463, + "change_type_accuracy": 1.0, + "maintenance_as_security": 4, + "ungrounded_claims": 0, + "n_security_alerts": 21, + "n_context_alerts": 0, + "n_review_events": 15, + "parse_coverage": 1.0 + }, + { + "method": "role_time_baseline", + "split": "all", + "event_recall": 0.4, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 6, + "n_context_alerts": 0, + "n_review_events": 15, + "parse_coverage": 1.0 + }, + { + "method": "correlation", + "split": "all", + "event_recall": 0.3333, + "precision_at_k": 0.7222, + "false_alarms_per_account_day": 0.0732, + "change_type_accuracy": 1.0, + "maintenance_as_security": 3, + "ungrounded_claims": 0, + "n_security_alerts": 8, + "n_context_alerts": 0, + "n_review_events": 15, + "parse_coverage": 1.0 + }, + { + "method": "maintenance_aware_rules", + "split": "all", + "event_recall": 0.9333, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 14, + "n_context_alerts": 0, + "n_review_events": 15, + "parse_coverage": 1.0 + }, + { + "method": "ariacloudtrail", + "split": "all", + "event_recall": 0.9333, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "n_security_alerts": 14, + "n_context_alerts": 4, + "n_review_events": 15, + "parse_coverage": 1.0 + } + ], + "calibration": [ + { + "threshold": 1.5, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 2.0, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 2.5, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 3.0, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 3.5, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 4.0, + "n_security_alerts": 8, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + }, + { + "threshold": 5.0, + "n_security_alerts": 7, + "event_recall": 0.875, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0 + } + ] +} \ No newline at end of file diff --git a/demo/examples/cloudtrail_sample.json b/demo/examples/cloudtrail_sample.json new file mode 100644 index 0000000000000000000000000000000000000000..c46f5af93f988272d3a006b9daa9ac2bbebce65f --- /dev/null +++ b/demo/examples/cloudtrail_sample.json @@ -0,0 +1,446 @@ +{ + "Records": [ + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:terraform-staging", + "arn": "arn:aws:sts::222222222222:assumed-role/terraform-staging/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "terraform-staging", + "arn": "arn:aws:iam::222222222222:role/terraform-staging", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-05T02:15:00Z", + "eventSource": "iam.amazonaws.com", + "eventName": "AttachRolePolicy", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "roleName": "job-runner", + "policyArn": "arn:aws:iam::aws:policy/ReadOnlyAccess" + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-maint-dev-01", + "eventID": "EVT-MAINT-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "EVT-MAINT-DEV-01", + "lab_family": "benign_maintenance", + "change_ticket": "CHG-4411", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:terraform-staging", + "arn": "arn:aws:sts::222222222222:assumed-role/terraform-staging/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "terraform-staging", + "arn": "arn:aws:iam::222222222222:role/terraform-staging", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-05T02:40:00Z", + "eventSource": "ec2.amazonaws.com", + "eventName": "AuthorizeSecurityGroupIngress", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "groupId": "sg-staging-web", + "cidrIp": "10.0.0.0/8", + "fromPort": 443, + "toPort": 443 + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-sg-safe-dev-01", + "eventID": "EVT-SG-SAFE-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "EVT-SG-SAFE-DEV-01", + "lab_family": "benign_restricted_sg", + "change_ticket": "CHG-4411", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIALICELAB", + "arn": "arn:aws:iam::111111111111:user/alice", + "accountId": "111111111111", + "userName": "alice" + }, + "eventTime": "2026-04-03T03:12:00Z", + "eventSource": "iam.amazonaws.com", + "eventName": "AttachUserPolicy", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "console.amazonaws.com", + "requestParameters": { + "userName": "carol", + "policyArn": "arn:aws:iam::aws:policy/AdministratorAccess" + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-iam-dev-01", + "eventID": "EVT-IAM-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "EVT-IAM-DEV-01", + "lab_family": "needs_review_iam_escalation", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIBOBLAB", + "arn": "arn:aws:iam::222222222222:user/bob", + "accountId": "222222222222", + "userName": "bob" + }, + "eventTime": "2026-04-04T14:22:00Z", + "eventSource": "s3.amazonaws.com", + "eventName": "DeletePublicAccessBlock", + "awsRegion": "us-east-1", + "sourceIPAddress": "192.0.2.55", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "bucketName": "prod-invoice-export" + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-s3-dev-01", + "eventID": "EVT-S3-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "EVT-S3-DEV-01", + "lab_family": "needs_review_public_exposure", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIALICELAB", + "arn": "arn:aws:iam::111111111111:user/alice", + "accountId": "111111111111", + "userName": "alice" + }, + "eventTime": "2026-04-03T18:00:00Z", + "eventSource": "ec2.amazonaws.com", + "eventName": "AuthorizeSecurityGroupIngress", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "console.amazonaws.com", + "requestParameters": { + "groupId": "sg-prod-web", + "cidrIp": "0.0.0.0/0", + "fromPort": 22, + "toPort": 22 + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-sg-open-dev-01", + "eventID": "EVT-SG-OPEN-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "EVT-SG-OPEN-DEV-01", + "lab_family": "needs_review_public_exposure", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + 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+ "eventTime": "2026-04-07T09:00:00Z", + "eventSource": "signin.amazonaws.com", + "eventName": "ConsoleLogin", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "signin.amazonaws.com", + "requestParameters": {}, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-root-dev-01", + "eventID": "EVT-ROOT-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "EVT-ROOT-DEV-01", + "lab_family": "needs_review_root", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIDAVELAB", + "arn": "arn:aws:iam::111111111111:user/dave", + "accountId": "111111111111", + "userName": "dave" + }, + "eventTime": "2026-04-08T16:10:00Z", + "eventSource": "iam.amazonaws.com", + "eventName": "UpdateAssumeRolePolicy", + "awsRegion": "us-east-1", + 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"managementEvent": true, "recipientAccountId": "111111111111", "errorCode": null, "lab_event_id": "", "lab_family": "", "change_ticket": "", "split": "development", "incomplete": false} +{"eventVersion": "1.09", "userIdentity": {"type": "IAMUser", "principalId": "AIDAIALICELAB", "arn": "arn:aws:iam::111111111111:user/alice", "accountId": "111111111111", "userName": "alice"}, "eventTime": "2026-04-03T16:44:49Z", "eventSource": "ec2.amazonaws.com", "eventName": "DescribeInstances", "awsRegion": "us-east-1", "sourceIPAddress": "203.0.113.10", "userAgent": "aws-cli/2.15.0", "requestParameters": {"marker": "lab-read"}, "responseElements": null, "requestID": "req-bg-0054", "eventID": "bg-0054", "readOnly": true, "eventType": "AwsApiCall", "managementEvent": true, "recipientAccountId": "111111111111", "errorCode": null, "lab_event_id": "", "lab_family": "", "change_ticket": "", "split": "development", "incomplete": false} +{"eventVersion": "1.09", "userIdentity": {"type": "IAMUser", "principalId": "AIDAIDAVELAB", "arn": "arn:aws:iam::111111111111:user/dave", "accountId": "111111111111", "userName": "dave"}, "eventTime": "2026-04-03T17:43:18Z", "eventSource": "s3.amazonaws.com", "eventName": "GetBucketAcl", "awsRegion": "us-east-1", "sourceIPAddress": "203.0.113.10", "userAgent": "aws-cli/2.15.0", "requestParameters": {"bucketName": "prod-invoice-export"}, "responseElements": null, "requestID": "req-bg-0055", "eventID": "bg-0055", "readOnly": true, "eventType": "AwsApiCall", "managementEvent": true, "recipientAccountId": "111111111111", "errorCode": null, "lab_event_id": "", "lab_family": "", "change_ticket": "", "split": "development", "incomplete": false} diff --git a/demo/examples/events_preview.csv b/demo/examples/events_preview.csv new file mode 100644 index 0000000000000000000000000000000000000000..6d57f91a1ddbe0214068265bf955b88bac2e335b --- /dev/null +++ b/demo/examples/events_preview.csv @@ -0,0 +1,320 @@ +event_id,timestamp,event_name,event_source,account_id,split,lab_event_id +EVT-MAINT-DEV-01,2026-04-05T02:15:00Z,AttachRolePolicy,iam.amazonaws.com,222222222222,development,EVT-MAINT-DEV-01 +EVT-SG-SAFE-DEV-01,2026-04-05T02:40:00Z,AuthorizeSecurityGroupIngress,ec2.amazonaws.com,222222222222,development,EVT-SG-SAFE-DEV-01 +EVT-IAM-DEV-01,2026-04-03T03:12:00Z,AttachUserPolicy,iam.amazonaws.com,111111111111,development,EVT-IAM-DEV-01 +EVT-S3-DEV-01,2026-04-04T14:22:00Z,DeletePublicAccessBlock,s3.amazonaws.com,222222222222,development,EVT-S3-DEV-01 +EVT-SG-OPEN-DEV-01,2026-04-03T18:00:00Z,AuthorizeSecurityGroupIngress,ec2.amazonaws.com,111111111111,development,EVT-SG-OPEN-DEV-01 +EVT-TRAIL-DEV-01,2026-04-06T01:05:00Z,StopLogging,cloudtrail.amazonaws.com,333333333333,development,EVT-TRAIL-DEV-01 +EVT-ROOT-DEV-01,2026-04-07T09:00:00Z,ConsoleLogin,signin.amazonaws.com,111111111111,development,EVT-ROOT-DEV-01 +EVT-TRUST-DEV-01,2026-04-08T16:10:00Z,UpdateAssumeRolePolicy,iam.amazonaws.com,111111111111,development,EVT-TRUST-DEV-01 +EVT-KEY-DEV-01,2026-04-07T11:20:00Z,CreateAccessKey,iam.amazonaws.com,222222222222,development,EVT-KEY-DEV-01 +EVT-INSUFF-DEV-01,2026-04-02T11:00:00Z,PutBucketPolicy,s3.amazonaws.com,222222222222,development,EVT-INSUFF-DEV-01 +EVT-MAINT-01,2026-04-12T02:20:00Z,AttachRolePolicy,iam.amazonaws.com,222222222222,test,EVT-MAINT-01 +EVT-SG-SAFE-01,2026-04-12T03:05:00Z,AuthorizeSecurityGroupIngress,ec2.amazonaws.com,222222222222,test,EVT-SG-SAFE-01 +EVT-IAM-01,2026-04-11T02:48:00Z,AttachRolePolicy,iam.amazonaws.com,111111111111,test,EVT-IAM-01 +EVT-S3-01,2026-04-11T15:30:00Z,DeletePublicAccessBlock,s3.amazonaws.com,222222222222,test,EVT-S3-01 +EVT-SG-OPEN-01,2026-04-11T18:20:00Z,AuthorizeSecurityGroupIngress,ec2.amazonaws.com,222222222222,test,EVT-SG-OPEN-01 +EVT-TRAIL-01,2026-04-13T00:40:00Z,StopLogging,cloudtrail.amazonaws.com,333333333333,test,EVT-TRAIL-01 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+bg-0002,2026-04-01T11:00:31Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0003,2026-04-01T10:52:03Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0004,2026-04-01T08:08:40Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0005,2026-04-01T16:41:25Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0006,2026-04-01T14:15:47Z,GetRole,iam.amazonaws.com,222222222222,development, +bg-0007,2026-04-01T11:39:09Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0008,2026-04-01T11:45:13Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0009,2026-04-01T17:17:44Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0010,2026-04-01T12:44:06Z,GetBucketAcl,s3.amazonaws.com,111111111111,development, +bg-0011,2026-04-01T10:46:47Z,GetBucketAcl,s3.amazonaws.com,111111111111,development, +bg-0012,2026-04-01T14:36:29Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0013,2026-04-01T09:43:26Z,ListUsers,iam.amazonaws.com,222222222222,development, +bg-0014,2026-04-01T16:30:07Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0015,2026-04-01T09:52:05Z,GetDetector,guardduty.amazonaws.com,333333333333,development, +bg-0016,2026-04-01T17:43:31Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0017,2026-04-01T12:03:49Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0018,2026-04-01T14:37:32Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +tag-0019,2026-04-01T09:00:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0020,2026-04-01T15:49:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +tag-0021,2026-04-01T09:04:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +bg-0022,2026-04-02T15:00:26Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0023,2026-04-02T08:48:10Z,GetCallerIdentity,sts.amazonaws.com,222222222222,development, 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+bg-0035,2026-04-02T11:18:27Z,DescribeTrails,cloudtrail.amazonaws.com,222222222222,development, +bg-0036,2026-04-02T11:53:35Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0037,2026-04-02T09:35:12Z,DescribeTrails,cloudtrail.amazonaws.com,222222222222,development, +bg-0038,2026-04-02T16:04:15Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0039,2026-04-02T08:51:34Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +tag-0040,2026-04-02T13:30:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0041,2026-04-02T15:59:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0042,2026-04-02T14:36:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +bg-0043,2026-04-03T10:18:17Z,GetCallerIdentity,sts.amazonaws.com,222222222222,development, +bg-0044,2026-04-03T12:04:15Z,GetBucketAcl,s3.amazonaws.com,333333333333,development, +bg-0045,2026-04-03T08:39:42Z,GetBucketAcl,s3.amazonaws.com,333333333333,development, +bg-0046,2026-04-03T10:22:31Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0047,2026-04-03T09:28:43Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0048,2026-04-03T14:12:49Z,DescribeTrails,cloudtrail.amazonaws.com,222222222222,development, +bg-0049,2026-04-03T12:36:31Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0050,2026-04-03T11:49:17Z,DescribeInstances,ec2.amazonaws.com,222222222222,development, +bg-0051,2026-04-03T10:56:12Z,DescribeInstances,ec2.amazonaws.com,222222222222,development, +bg-0052,2026-04-03T14:28:22Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0053,2026-04-03T10:56:46Z,DescribeTrails,cloudtrail.amazonaws.com,111111111111,development, +bg-0054,2026-04-03T16:44:49Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0055,2026-04-03T17:43:18Z,GetBucketAcl,s3.amazonaws.com,111111111111,development, +bg-0056,2026-04-03T13:35:16Z,GetBucketAcl,s3.amazonaws.com,111111111111,development, +bg-0057,2026-04-03T14:26:47Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0058,2026-04-03T15:04:24Z,GetDetector,guardduty.amazonaws.com,333333333333,development, +bg-0059,2026-04-03T12:03:44Z,ListUsers,iam.amazonaws.com,222222222222,development, +bg-0060,2026-04-03T12:21:32Z,GetRole,iam.amazonaws.com,111111111111,development, +tag-0061,2026-04-03T09:16:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +tag-0062,2026-04-03T13:01:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +tag-0063,2026-04-03T12:04:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +bg-0064,2026-04-04T16:33:34Z,GetBucketAcl,s3.amazonaws.com,333333333333,development, +bg-0065,2026-04-04T15:36:21Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0066,2026-04-04T13:59:22Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0067,2026-04-04T14:10:34Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0068,2026-04-04T12:13:19Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0069,2026-04-04T14:09:23Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0070,2026-04-04T11:18:03Z,GetCallerIdentity,sts.amazonaws.com,111111111111,development, +bg-0071,2026-04-04T10:44:14Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0072,2026-04-04T16:19:18Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0073,2026-04-04T09:16:33Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0074,2026-04-04T12:42:13Z,DescribeTrails,cloudtrail.amazonaws.com,222222222222,development, +bg-0075,2026-04-04T08:49:35Z,GetCallerIdentity,sts.amazonaws.com,222222222222,development, +bg-0076,2026-04-04T10:51:32Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0077,2026-04-04T13:52:45Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0078,2026-04-04T08:45:11Z,GetDetector,guardduty.amazonaws.com,333333333333,development, +bg-0079,2026-04-04T11:05:49Z,GetRole,iam.amazonaws.com,222222222222,development, +bg-0080,2026-04-04T14:10:17Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0081,2026-04-04T10:03:27Z,DescribeInstances,ec2.amazonaws.com,333333333333,development, +tag-0082,2026-04-04T12:28:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0083,2026-04-04T14:24:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +tag-0084,2026-04-04T09:16:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +bg-0085,2026-04-05T12:02:09Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0086,2026-04-05T13:26:11Z,GetCallerIdentity,sts.amazonaws.com,333333333333,development, +bg-0087,2026-04-05T08:05:42Z,GetRole,iam.amazonaws.com,333333333333,development, +bg-0088,2026-04-05T10:49:09Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0089,2026-04-05T15:08:37Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0090,2026-04-05T08:27:03Z,ListUsers,iam.amazonaws.com,222222222222,development, +bg-0091,2026-04-05T15:27:28Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0092,2026-04-05T12:20:00Z,GetBucketAcl,s3.amazonaws.com,111111111111,development, +bg-0093,2026-04-05T17:07:34Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0094,2026-04-05T16:56:01Z,ListUsers,iam.amazonaws.com,333333333333,development, +bg-0095,2026-04-05T17:36:08Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0096,2026-04-05T10:30:09Z,ListUsers,iam.amazonaws.com,222222222222,development, +bg-0097,2026-04-05T11:47:29Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0098,2026-04-05T12:11:45Z,ListUsers,iam.amazonaws.com,333333333333,development, +bg-0099,2026-04-05T09:51:10Z,DescribeInstances,ec2.amazonaws.com,222222222222,development, +bg-0100,2026-04-05T12:02:09Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0101,2026-04-05T08:03:21Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0102,2026-04-05T17:52:15Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +tag-0103,2026-04-05T14:39:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0104,2026-04-05T11:32:00Z,CreateTags,ec2.amazonaws.com,111111111111,development, +tag-0105,2026-04-05T13:58:00Z,CreateTags,ec2.amazonaws.com,222222222222,development, +bg-0106,2026-04-06T13:26:47Z,DescribeTrails,cloudtrail.amazonaws.com,222222222222,development, +bg-0107,2026-04-06T09:23:10Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0108,2026-04-06T16:14:19Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0109,2026-04-06T10:20:27Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0110,2026-04-06T16:20:20Z,GetRole,iam.amazonaws.com,111111111111,development, +bg-0111,2026-04-06T09:40:18Z,DescribeInstances,ec2.amazonaws.com,333333333333,development, +bg-0112,2026-04-06T14:12:20Z,DescribeInstances,ec2.amazonaws.com,111111111111,development, +bg-0113,2026-04-06T14:20:28Z,DescribeInstances,ec2.amazonaws.com,333333333333,development, +bg-0114,2026-04-06T14:48:48Z,GetCallerIdentity,sts.amazonaws.com,222222222222,development, +bg-0115,2026-04-06T11:40:45Z,DescribeTrails,cloudtrail.amazonaws.com,111111111111,development, +bg-0116,2026-04-06T14:15:49Z,DescribeInstances,ec2.amazonaws.com,333333333333,development, +bg-0117,2026-04-06T08:02:37Z,GetBucketAcl,s3.amazonaws.com,222222222222,development, +bg-0118,2026-04-06T12:59:34Z,GetDetector,guardduty.amazonaws.com,222222222222,development, +bg-0119,2026-04-06T08:51:27Z,GetDetector,guardduty.amazonaws.com,111111111111,development, +bg-0120,2026-04-06T13:23:22Z,ListUsers,iam.amazonaws.com,111111111111,development, +bg-0121,2026-04-06T12:45:21Z,GetDetector,guardduty.amazonaws.com,222222222222,development, 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file mode 100644 index 0000000000000000000000000000000000000000..5fa6a8256d1cf9e17dc34fa17f571ece65c1a9ad --- /dev/null +++ b/demo/examples/events_preview.json @@ -0,0 +1,2822 @@ +{ + "Records": [ + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:terraform-staging", + "arn": "arn:aws:sts::222222222222:assumed-role/terraform-staging/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "terraform-staging", + "arn": "arn:aws:iam::222222222222:role/terraform-staging", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-05T02:15:00Z", + "eventSource": "iam.amazonaws.com", + "eventName": "AttachRolePolicy", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "roleName": "job-runner", + "policyArn": "arn:aws:iam::aws:policy/ReadOnlyAccess" + }, + "responseElements": { + "_lab": true + }, + "requestID": "req-evt-maint-dev-01", + "eventID": "EVT-MAINT-DEV-01", + "readOnly": false, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "EVT-MAINT-DEV-01", + "lab_family": "benign_maintenance", + "change_ticket": "CHG-4411", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:terraform-staging", + "arn": "arn:aws:sts::222222222222:assumed-role/terraform-staging/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "terraform-staging", + "arn": "arn:aws:iam::222222222222:role/terraform-staging", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-05T02:40:00Z", + "eventSource": "ec2.amazonaws.com", + "eventName": "AuthorizeSecurityGroupIngress", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + 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"eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0164", + "eventID": "bg-0164", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:terraform-staging", + "arn": "arn:aws:sts::222222222222:assumed-role/terraform-staging/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "terraform-staging", + "arn": "arn:aws:iam::222222222222:role/terraform-staging", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-08T10:52:40Z", + "eventSource": "s3.amazonaws.com", + "eventName": "GetBucketAcl", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "bucketName": "prod-invoice-export" + }, + "responseElements": null, + "requestID": "req-bg-0165", + "eventID": "bg-0165", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIDAVELAB", + "arn": "arn:aws:iam::111111111111:user/dave", + "accountId": "111111111111", + "userName": "dave" + }, + "eventTime": "2026-04-09T10:06:39Z", + "eventSource": "s3.amazonaws.com", + "eventName": "GetBucketAcl", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "bucketName": "prod-invoice-export" + }, + "responseElements": null, + "requestID": "req-bg-0170", + "eventID": "bg-0170", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIDAVELAB", + "arn": "arn:aws:iam::111111111111:user/dave", + "accountId": "111111111111", + "userName": "dave" + }, + "eventTime": "2026-04-09T15:18:08Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0174", + "eventID": "bg-0174", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "AssumedRole", + "principalId": "222222222222:ci-github", + "arn": "arn:aws:sts::222222222222:assumed-role/ci-github/session", + "accountId": "222222222222", + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": "ci-github", + "arn": "arn:aws:iam::222222222222:role/ci-github", + "accountId": "222222222222" + } + } + }, + "eventTime": "2026-04-09T13:40:16Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "198.51.100.20", + "userAgent": "terraform/1.9.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0175", + "eventID": "bg-0175", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIALICELAB", + "arn": "arn:aws:iam::111111111111:user/alice", + "accountId": "111111111111", + "userName": "alice" + }, + "eventTime": "2026-04-09T14:36:40Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0181", + "eventID": "bg-0181", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIDAVELAB", + "arn": "arn:aws:iam::111111111111:user/dave", + "accountId": "111111111111", + "userName": "dave" + }, + "eventTime": "2026-04-09T08:33:33Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0185", + "eventID": "bg-0185", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "development", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIBOBLAB", + "arn": "arn:aws:iam::222222222222:user/bob", + "accountId": "222222222222", + "userName": "bob" + }, + "eventTime": "2026-04-10T14:04:07Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0190", + "eventID": "bg-0190", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "222222222222", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "test", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIALICELAB", + "arn": "arn:aws:iam::111111111111:user/alice", + "accountId": "111111111111", + "userName": "alice" + }, + "eventTime": "2026-04-10T17:24:17Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0191", + "eventID": "bg-0191", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "test", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAICAROLLAB", + "arn": "arn:aws:iam::333333333333:user/carol", + "accountId": "333333333333", + "userName": "carol" + }, + "eventTime": "2026-04-10T13:11:00Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0194", + "eventID": "bg-0194", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "333333333333", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "test", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAICAROLLAB", + "arn": "arn:aws:iam::333333333333:user/carol", + "accountId": "333333333333", + "userName": "carol" + }, + "eventTime": "2026-04-11T13:35:42Z", + "eventSource": "iam.amazonaws.com", + "eventName": "ListUsers", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "marker": "lab-read" + }, + "responseElements": null, + "requestID": "req-bg-0211", + "eventID": "bg-0211", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "333333333333", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "test", + "incomplete": false + }, + { + "eventVersion": "1.09", + "userIdentity": { + "type": "IAMUser", + "principalId": "AIDAIALICELAB", + "arn": "arn:aws:iam::111111111111:user/alice", + "accountId": "111111111111", + "userName": "alice" + }, + "eventTime": "2026-04-11T10:35:34Z", + "eventSource": "s3.amazonaws.com", + "eventName": "GetBucketAcl", + "awsRegion": "us-east-1", + "sourceIPAddress": "203.0.113.10", + "userAgent": "aws-cli/2.15.0", + "requestParameters": { + "bucketName": "prod-invoice-export" + }, + "responseElements": null, + "requestID": "req-bg-0216", + "eventID": "bg-0216", + "readOnly": true, + "eventType": "AwsApiCall", + "managementEvent": true, + "recipientAccountId": "111111111111", + "errorCode": null, + "lab_event_id": "", + "lab_family": "", + "change_ticket": "", + "split": "test", + "incomplete": false + } + ] +} \ No newline at end of file diff --git a/demo/examples/gold_events.json b/demo/examples/gold_events.json new file mode 100644 index 0000000000000000000000000000000000000000..ede3b0bf7c28853899f621ce6535eac30a21237e --- /dev/null +++ b/demo/examples/gold_events.json @@ -0,0 +1,233 @@ +[ + { + "event_id": "EVT-MAINT-DEV-01", + "account_alias": "acct_staging", + "actor_alias": "role_terraform-staging", + "start": "2026-04-05T02:15:00Z", + "end": "2026-04-05T02:16:00Z", + "family": "benign_maintenance", + "split": "development", + "change_type": "iam_privilege_grant", + "note": "Sunday staging window. Terraform attaches a job role policy with ticket CHG-4411." + }, + { + "event_id": "EVT-SG-SAFE-DEV-01", + "account_alias": "acct_staging", + "actor_alias": "role_terraform-staging", + "start": "2026-04-05T02:40:00Z", + "end": "2026-04-05T02:41:00Z", + "family": "benign_restricted_sg", + "split": "development", + "change_type": "security_group_ingress", + "note": "Maintenance SG ingress from 10.0.0.0/8, not 0.0.0.0/0." + }, + { + "event_id": "EVT-IAM-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_alice", + "start": "2026-04-03T03:12:00Z", + "end": "2026-04-03T03:13:00Z", + "family": "needs_review_iam_escalation", + "split": "development", + "change_type": "iam_privilege_grant", + "note": "Off-hours AttachUserPolicy AdministratorAccess on prod." + }, + { + "event_id": "EVT-S3-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_bob", + "start": "2026-04-04T14:22:00Z", + "end": "2026-04-04T14:23:00Z", + "family": "needs_review_public_exposure", + "split": "development", + "change_type": "s3_public_exposure", + "note": "DeletePublicAccessBlock on a prod bucket. That is a request, not proven current exposure." + }, + { + "event_id": "EVT-SG-OPEN-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_alice", + "start": "2026-04-03T18:00:00Z", + "end": "2026-04-03T18:01:00Z", + "family": "needs_review_public_exposure", + "split": "development", + "change_type": "security_group_ingress", + "note": "AuthorizeSecurityGroupIngress 0.0.0.0/0 on prod." + }, + { + "event_id": "EVT-TRAIL-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_carol", + "start": "2026-04-06T01:05:00Z", + "end": "2026-04-06T01:06:00Z", + "family": "needs_review_logging_disable", + "split": "development", + "change_type": "trail_logging_change", + "note": "Contractor StopLogging on the prod trail." + }, + { + "event_id": "EVT-ROOT-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "root_lab", + "start": "2026-04-07T09:00:00Z", + "end": "2026-04-07T09:01:00Z", + "family": "needs_review_root", + "split": "development", + "change_type": "root_activity", + "note": "Root console login." + }, + { + "event_id": "EVT-TRUST-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_dave", + "start": "2026-04-08T16:10:00Z", + "end": "2026-04-08T16:11:00Z", + "family": "needs_review_trust_wildcard", + "split": "development", + "change_type": "role_trust_change", + "note": "UpdateAssumeRolePolicy with Principal *." + }, + { + "event_id": "EVT-KEY-DEV-01", + "account_alias": "acct_staging", + "actor_alias": "usr_bob", + "start": "2026-04-07T11:20:00Z", + "end": "2026-04-07T11:21:00Z", + "family": "needs_review_iam_escalation", + "split": "development", + "change_type": "iam_credential_create", + "note": "CreateAccessKey for a staging user during business hours." + }, + { + "event_id": "EVT-INSUFF-DEV-01", + "account_alias": "acct_prod", + "actor_alias": "usr_bob", + "start": "2026-04-02T11:00:00Z", + "end": "2026-04-02T11:01:00Z", + "family": "insufficient_evidence", + "split": "development", + "change_type": "s3_public_exposure", + "note": "PutBucketPolicy without requestParameters. Before/after unknown." + }, + { + "event_id": "EVT-MAINT-01", + "account_alias": "acct_staging", + "actor_alias": "role_terraform-staging", + "start": "2026-04-12T02:20:00Z", + "end": "2026-04-12T02:21:00Z", + "family": "benign_maintenance", + "split": "test", + "change_type": "iam_privilege_grant", + "note": "Held-out Sunday staging terraform AttachRolePolicy with CHG-4411." + }, + { + "event_id": "EVT-SG-SAFE-01", + "account_alias": "acct_staging", + "actor_alias": "role_terraform-staging", + "start": "2026-04-12T03:05:00Z", + "end": "2026-04-12T03:06:00Z", + "family": "benign_restricted_sg", + "split": "test", + "change_type": "security_group_ingress", + "note": "Held-out restricted SG during the approved window." + }, + { + "event_id": "EVT-IAM-01", + "account_alias": "acct_prod", + "actor_alias": "usr_alice", + "start": "2026-04-11T02:48:00Z", + "end": "2026-04-11T02:49:00Z", + "family": "needs_review_iam_escalation", + "split": "test", + "change_type": "iam_privilege_grant", + "note": "Held-out off-hours AdministratorAccess attach on prod." + }, + { + "event_id": "EVT-S3-01", + "account_alias": "acct_prod", + "actor_alias": "usr_bob", + "start": "2026-04-11T15:30:00Z", + "end": "2026-04-11T15:31:00Z", + "family": "needs_review_public_exposure", + "split": "test", + "change_type": "s3_public_exposure", + "note": "Held-out DeletePublicAccessBlock." + }, + { + "event_id": "EVT-SG-OPEN-01", + "account_alias": "acct_prod", + "actor_alias": "usr_bob", + "start": "2026-04-11T18:20:00Z", + "end": "2026-04-11T18:21:00Z", + "family": "needs_review_public_exposure", + "split": "test", + "change_type": "security_group_ingress", + "note": "Held-out 0.0.0.0/0 security group ingress." + }, + { + "event_id": "EVT-TRAIL-01", + "account_alias": "acct_prod", + "actor_alias": "usr_carol", + "start": "2026-04-13T00:40:00Z", + "end": "2026-04-13T00:41:00Z", + "family": "needs_review_logging_disable", + "split": "test", + "change_type": "trail_logging_change", + "note": "Held-out StopLogging." + }, + { + "event_id": "EVT-ROOT-01", + "account_alias": "acct_prod", + "actor_alias": "root_lab", + "start": "2026-04-13T10:15:00Z", + "end": "2026-04-13T10:16:00Z", + "family": "needs_review_root", + "split": "test", + "change_type": "root_activity", + "note": "Held-out root CreateAccessKey." + }, + { + "event_id": "EVT-TRUST-01", + "account_alias": "acct_prod", + "actor_alias": "usr_dave", + "start": "2026-04-14T11:20:00Z", + "end": "2026-04-14T11:21:00Z", + "family": "needs_review_trust_wildcard", + "split": "test", + "change_type": "role_trust_change", + "note": "Held-out wildcard trust policy." + }, + { + "event_id": "EVT-GD-01", + "account_alias": "acct_prod", + "actor_alias": "usr_alice", + "start": "2026-04-14T01:10:00Z", + "end": "2026-04-14T01:11:00Z", + "family": "needs_review_logging_disable", + "split": "test", + "change_type": "detector_disable", + "note": "Held-out GuardDuty UpdateDetector Enable=false." + }, + { + "event_id": "EVT-KEY-01", + "account_alias": "acct_staging", + "actor_alias": "usr_bob", + "start": "2026-04-12T11:40:00Z", + "end": "2026-04-12T11:41:00Z", + "family": "needs_review_iam_escalation", + "split": "test", + "change_type": "iam_credential_create", + "note": "Held-out CreateAccessKey. Medium severity; should drop at a high T." + }, + { + "event_id": "EVT-INSUFF-01", + "account_alias": "acct_prod", + "actor_alias": "usr_bob", + "start": "2026-04-10T13:00:00Z", + "end": "2026-04-10T13:01:00Z", + "family": "insufficient_evidence", + "split": "test", + "change_type": "s3_public_exposure", + "note": "Held-out PutBucketAcl without requestParameters." + } +] \ No newline at end of file diff --git a/demo/examples/protocol.md b/demo/examples/protocol.md new file mode 100644 index 0000000000000000000000000000000000000000..39b558569ffafd73b8c32649f24058322e6728c0 --- /dev/null +++ b/demo/examples/protocol.md @@ -0,0 +1,10 @@ +# AriaCloudTrail laboratory protocol + +Synthetic AWS CloudTrail management events, seed 16, three lab accounts. +Account IDs 111111111111 / 222222222222 / 333333333333 are aliases for prod/staging/sandbox. +No live cloud credentials, no configuration changes, no network calls to AWS. + +Gold `needs_review_*` ranges are authored sensitive changes. Sunday 02:00-06:00 UTC on staging with ticket CHG-4411 is approved maintenance. +Before/after is only claimed when both events exist in the export. A single Put/Delete does not prove current exposure. + +Split is by period (test starts 2026-04-10) and account. Rows of one authored event stay together. \ No newline at end of file diff --git a/demo/examples/ruleset.json b/demo/examples/ruleset.json new file mode 100644 index 0000000000000000000000000000000000000000..6f490108184bb043401a6cecbe016517ffdfb9aa --- /dev/null +++ b/demo/examples/ruleset.json @@ -0,0 +1,18 @@ +{ + "maintenance": { + "account": "acct_staging", + "actor": "role_terraform-staging", + "ticket": "CHG-4411", + "window": "Sunday 02:00-06:00 UTC", + "allowed": [ + "iam_privilege_grant", + "security_group_ingress" + ], + "forbidden": [ + "AdministratorAccess", + "0.0.0.0/0", + "root" + ] + }, + "event_map_count": 28 +} \ No newline at end of file diff --git a/demo/examples/sample_preview.json b/demo/examples/sample_preview.json new file mode 100644 index 0000000000000000000000000000000000000000..2e18964b63e6c2182da21f5d2328f06396c1a90e --- /dev/null +++ b/demo/examples/sample_preview.json @@ -0,0 +1,28 @@ +{ + "run_id": "ariact-18b781e709479f28", + "status": "ready", + "status_label": "Changes ready for review \u00b7 Live parse, ruleset, role/time baseline, and limited correlation", + "kpis": { + "n_raw": 319, + "n_valid": 319, + "n_dropped": 0, + "n_changes": 23, + "n_security_review": 14, + "n_context": 4, + "n_incomplete": 3, + "parse_coverage": 1.0, + "event_recall": 1.0, + "precision_at_k": 1.0, + "false_alarms_per_account_day": 0.0, + "change_type_accuracy": 1.0, + "maintenance_as_security": 0, + "ungrounded_claims": 0, + "seconds": 1.275, + "threshold": 3.0, + "model_names": "rules+baseline+correlation", + "daily_capacity": 8 + }, + "kpi_html": "

Needs security review

14

4 context changes

Parse coverage

100%

319/319

Insufficient rows

3

missing time/event or request body

Test event recall

100%

rule-severity baseline: 1.0

Precision @ 8/day

100%

held-out daily review capacity

Change-type accuracy

100%

gold eventName mapping

False alarms / account-day

0.000

security-review without a review label

Analyze time

1.3s

T=3.0

", + "validation_ok": true, + "precomputed": true +} \ No newline at end of file diff --git a/demo/examples/schema.json b/demo/examples/schema.json new file mode 100644 index 0000000000000000000000000000000000000000..f03b3b00bd01b7d26d50938b8a4a5503b221f79a --- /dev/null +++ b/demo/examples/schema.json @@ -0,0 +1,28 @@ +{ + "schema_id": "ariacloudtrail.change_event.v1", + "required_after_parse": [ + "timestamp", + "event_name" + ], + "cloudtrail_fields": [ + "eventTime", + "eventName", + "eventSource", + "userIdentity", + "recipientAccountId" + ], + "timezone": "UTC", + "null_meaning": "missing field, not a safe default", + "change_types": [ + "iam_privilege_grant", + "iam_credential_create", + "security_group_ingress", + "s3_public_exposure", + "trail_logging_change", + "kms_control_change", + "root_activity", + "instance_exposure", + "role_trust_change", + "detector_disable" + ] +} \ No newline at end of file diff --git a/demo/examples/splits.json b/demo/examples/splits.json new file mode 100644 index 0000000000000000000000000000000000000000..95b123d2b35d03a164db8012f3f307687fde346b --- /dev/null +++ b/demo/examples/splits.json @@ -0,0 +1,7 @@ +{ + "development": "2026-04-01T00:00:00Z/2026-04-10T00:00:00Z", + "test": "2026-04-10T00:00:00Z/2026-04-15T00:00:00Z", + "group": "account and period; one authored event stays in one split", + "service_principals": "AssumedRole actors are modeled separately from IAM users", + "history": "before/after and burst counts use only earlier events" +} \ No newline at end of file diff --git a/demo/requirements.txt b/demo/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ba77fbcead7e144b4b7f070e1ee8a7f192859d1 --- /dev/null +++ b/demo/requirements.txt @@ -0,0 +1,5 @@ +pandas>=2.2.0,<3 +pydantic>=2.6.0,<3 +plotly>=5.24.0,<7 +numpy>=1.26.0,<3 +networkx>=3.2,<4 diff --git a/demo/src/__init__.py b/demo/src/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f9f38f809b9a8b410943d433949f8e38befb2757 --- /dev/null +++ b/demo/src/__init__.py @@ -0,0 +1 @@ +"""AriaCloudTrail — sensitive AWS CloudTrail change review for Cloud SOC.""" diff --git a/demo/src/detectors.py b/demo/src/detectors.py new file mode 100644 index 0000000000000000000000000000000000000000..50b15daaffa8fe0182d66e8646ab7f777e527203 --- /dev/null +++ b/demo/src/detectors.py @@ -0,0 +1,173 @@ +from __future__ import annotations + +import numpy as np +import pandas as pd + +from src.domain import ( + SEVERITY_WEIGHT, + AlertClass, + ChangeType, + Confidence, + Method, + Tag, + Workflow, +) + + +def _score_row(row: pd.Series) -> float: + score = float(SEVERITY_WEIGHT.get(str(row.get("severity") or "low"), 1.8)) + if bool(row.get("cidr_open")) or bool(row.get("policy_public")) or bool(row.get("logging_off")): + score += 1.0 + if bool(row.get("detector_off")) or bool(row.get("wildcard_trust")) or str(row.get("actor_kind")) == "root": + score += 1.0 + if bool(row.get("admin_policy")): + score += 1.0 + if float(row.get("unusual_hour") or 0) >= 1: + score += 0.8 + score += 0.4 * min(float(row.get("burst_count") or 0), 3) + if bool(row.get("in_maintenance")): + score -= 2.5 + if bool(row.get("hardening")): + score -= 2.0 + return round(score, 3) + + +def score_changes(frame: pd.DataFrame) -> pd.DataFrame: + out = frame.copy() + if out.empty: + out["score"] = [] + return out + out["score"] = [_score_row(row) for row in out.to_dict(orient="records")] + return out + + +def _tag_for(row: pd.Series) -> Tag: + if bool(row.get("incomplete")): + return Tag.INCOMPLETE + if bool(row.get("in_maintenance")): + return Tag.MAINTENANCE + if str(row.get("actor_kind")) == "root" or row.get("change_type") == ChangeType.ROOT_ACTIVITY.value: + return Tag.ROOT + if bool(row.get("wildcard_trust")): + return Tag.TRUST + if bool(row.get("logging_off")): + return Tag.TRAIL_STOP + if bool(row.get("detector_off")): + return Tag.DETECTOR + if bool(row.get("policy_public")): + return Tag.PUBLIC_S3 + if bool(row.get("cidr_open")): + return Tag.OPEN_SG + if row.get("change_type") == ChangeType.SECURITY_GROUP_INGRESS.value: + return Tag.RESTRICTED_SG + if bool(row.get("admin_policy")) or row.get("change_type") == ChangeType.IAM_PRIVILEGE_GRANT.value: + return Tag.IAM_ESCALATION + if row.get("change_type") == ChangeType.IAM_CREDENTIAL_CREATE.value: + return Tag.ACCESS_KEY + if row.get("change_type") == ChangeType.KMS_CONTROL_CHANGE.value: + return Tag.KMS + if row.get("change_type") == ChangeType.INSTANCE_EXPOSURE.value: + return Tag.EIP + if float(row.get("burst_count") or 0) >= 3: + return Tag.BURST + if float(row.get("unusual_hour") or 0) >= 1: + return Tag.UNUSUAL_HOUR + return Tag.NONE + + +def apply_detectors(frame: pd.DataFrame, threshold: float) -> pd.DataFrame: + out = score_changes(frame) + if out.empty: + for column in ("tag", "alert_class", "confidence", "workflow", "methods_fired", "finding_id"): + out[column] = [] + return out + tags = [] + alerts = [] + confidences = [] + workflows = [] + methods = [] + for row in out.to_dict(orient="records"): + series = pd.Series(row) + tag = _tag_for(series) + incomplete = bool(row.get("incomplete")) + maintenance = bool(row.get("in_maintenance")) + hardening = bool(row.get("hardening")) + sensitive = str(row.get("change_type") or "none") != "none" and not hardening + score = float(row.get("score") or 0) + if incomplete and sensitive: + alert = AlertClass.INSUFFICIENT.value + workflow = Workflow.INSUFFICIENT.value + confidence = Confidence.LOW.value + elif maintenance: + alert = AlertClass.CONTEXT.value + workflow = Workflow.CONTEXT_ONLY.value + confidence = Confidence.MEDIUM.value + elif hardening: + alert = AlertClass.NONE.value + workflow = Workflow.CLEAR.value + confidence = Confidence.LOW.value + elif sensitive and score >= threshold: + alert = AlertClass.SECURITY_REVIEW.value + workflow = Workflow.NEEDS_REVIEW.value + confidence = Confidence.HIGH.value if score >= threshold + 1 else Confidence.MEDIUM.value + elif sensitive: + alert = AlertClass.CONTEXT.value + workflow = Workflow.CONTEXT_ONLY.value + confidence = Confidence.LOW.value + else: + alert = AlertClass.NONE.value + workflow = Workflow.CLEAR.value + confidence = Confidence.LOW.value + fired = [] + if sensitive: + fired.append(Method.RULE_SEVERITY.value) + if float(row.get("unusual_hour") or 0) >= 1 and sensitive: + fired.append(Method.ROLE_TIME.value) + if float(row.get("burst_count") or 0) >= 2 or (float(row.get("has_before") or 0) >= 1 and float(row.get("has_after") or 0) >= 1): + if sensitive: + fired.append(Method.CORRELATION.value) + if maintenance or (sensitive and not incomplete): + fired.append(Method.MAINTENANCE_AWARE.value) + if alert != AlertClass.NONE.value: + fired.append(Method.ARIACLOUDTRAIL.value) + tags.append(tag.value) + alerts.append(alert) + confidences.append(confidence) + workflows.append(workflow) + methods.append(",".join(dict.fromkeys(fired))) + out["tag"] = tags + out["alert_class"] = alerts + out["confidence"] = confidences + out["workflow"] = workflows + out["methods_fired"] = methods + out["finding_id"] = [f"chg-{str(item)[:12]}" for item in out["event_id"].astype(str)] + return out + + +def method_flags(frame: pd.DataFrame, method: str, threshold: float) -> pd.Series: + if frame.empty: + return pd.Series(dtype=bool) + sensitive = frame["change_type"].ne("none") & ~frame["hardening"].astype(bool) + if method == Method.RULE_SEVERITY.value: + return sensitive + if method == Method.ROLE_TIME.value: + return sensitive & (frame["unusual_hour"] >= 1) + if method == Method.CORRELATION.value: + paired = (frame["has_before"] >= 1) & (frame["has_after"] >= 1) + return sensitive & ((frame["burst_count"] >= 2) | paired) + if method == Method.MAINTENANCE_AWARE.value: + return sensitive & ~frame["in_maintenance"].astype(bool) & ~frame["incomplete"].astype(bool) + return frame["alert_class"].eq(AlertClass.SECURITY_REVIEW.value) + + +def ungrounded_claim_count(frame: pd.DataFrame) -> int: + if frame.empty: + return 0 + review = frame.loc[frame["alert_class"].eq(AlertClass.SECURITY_REVIEW.value)] + if review.empty: + return 0 + missing_evidence = review["event_id"].astype(str).eq("") + claimed_both = (review["before_state"].eq("known") & review["after_state"].eq("known")) + actually_missing = (review["has_before"] < 1) | (review["has_after"] < 1) + overclaim = claimed_both & actually_missing + return int((missing_evidence | overclaim).sum()) diff --git a/demo/src/domain.py b/demo/src/domain.py new file mode 100644 index 0000000000000000000000000000000000000000..f26d0796f6cd491803df8d86b35ac3cc82d5cfb5 --- /dev/null +++ b/demo/src/domain.py @@ -0,0 +1,203 @@ +from __future__ import annotations + +from enum import Enum + +PRODUCT = "AriaCloudTrail" +CODE_VERSION = "1.0.0" +SCHEMA_ID = "ariacloudtrail.change_event.v1" +SNAPSHOT_ID = "lab-cloudtrail-2026-04-01" +DEFAULT_SEED = 16 +MAX_EVENTS = 20_000 +MAX_BYTES = 10 * 1024 * 1024 +MAX_UI_ROWS = 400 +MIN_VALID_EVENTS = 80 +DEFAULT_THRESHOLD = 3.0 +DAILY_REVIEW_CAPACITY = 8 +BURST_WINDOW_MINUTES = 15 +TEST_START_ISO = "2026-04-10T00:00:00Z" +MAINTENANCE_TICKET = "CHG-4411" +MAINTENANCE_ACCOUNT = "acct_staging" +MAINTENANCE_ACTOR = "role_terraform-staging" + +FEATURE_COLUMNS = ( + "severity_weight", + "unusual_hour", + "weekend", + "burst_count", + "cidr_open", + "policy_public", + "logging_off", + "detector_off", + "wildcard_trust", + "is_root", + "is_service", + "is_human", + "has_before", + "has_after", + "in_maintenance", + "admin_policy", + "error_event", +) +REQUIRED_EVENT_FIELDS = ("timestamp", "event_name") +ID_FIELDS = ("event_id", "actor_alias", "resource_alias", "account_alias") + +ACCOUNT_IDS = { + "prod": "111111111111", + "staging": "222222222222", + "sandbox": "333333333333", +} +ACCOUNT_ALIASES = { + "111111111111": "acct_prod", + "222222222222": "acct_staging", + "333333333333": "acct_sandbox", + "prod": "acct_prod", + "staging": "acct_staging", + "sandbox": "acct_sandbox", + "acct_prod": "acct_prod", + "acct_staging": "acct_staging", + "acct_sandbox": "acct_sandbox", +} + + +class Split(str, Enum): + DEVELOPMENT = "development" + TEST = "test" + + +class Method(str, Enum): + RULE_SEVERITY = "rule_severity" + ROLE_TIME = "role_time_baseline" + CORRELATION = "correlation" + MAINTENANCE_AWARE = "maintenance_aware_rules" + ARIACLOUDTRAIL = "ariacloudtrail" + + +class ChangeType(str, Enum): + IAM_PRIVILEGE_GRANT = "iam_privilege_grant" + IAM_CREDENTIAL_CREATE = "iam_credential_create" + SECURITY_GROUP_INGRESS = "security_group_ingress" + S3_PUBLIC_EXPOSURE = "s3_public_exposure" + TRAIL_LOGGING_CHANGE = "trail_logging_change" + KMS_CONTROL_CHANGE = "kms_control_change" + ROOT_ACTIVITY = "root_activity" + INSTANCE_EXPOSURE = "instance_exposure" + ROLE_TRUST_CHANGE = "role_trust_change" + DETECTOR_DISABLE = "detector_disable" + NONE = "none" + + +class Family(str, Enum): + BACKGROUND = "background" + BENIGN_MAINTENANCE = "benign_maintenance" + BENIGN_RESTRICTED_SG = "benign_restricted_sg" + REVIEW_IAM = "needs_review_iam_escalation" + REVIEW_EXPOSURE = "needs_review_public_exposure" + REVIEW_LOGGING = "needs_review_logging_disable" + REVIEW_ROOT = "needs_review_root" + REVIEW_TRUST = "needs_review_trust_wildcard" + INSUFFICIENT = "insufficient_evidence" + + +class AlertClass(str, Enum): + SECURITY_REVIEW = "security_review" + CONTEXT = "context" + INSUFFICIENT = "insufficient_evidence" + NONE = "none" + + +class Tag(str, Enum): + IAM_ESCALATION = "iam_escalation" + ACCESS_KEY = "access_key_create" + OPEN_SG = "open_security_group" + RESTRICTED_SG = "restricted_security_group" + PUBLIC_S3 = "s3_public_request" + TRAIL_STOP = "trail_logging_stop" + KMS = "kms_control" + ROOT = "root_activity" + EIP = "instance_public_ip" + TRUST = "wildcard_trust" + DETECTOR = "detector_disabled" + MAINTENANCE = "approved_maintenance" + INCOMPLETE = "incomplete_event" + BURST = "actor_burst" + UNUSUAL_HOUR = "unusual_hour" + NONE = "none" + + +class Severity(str, Enum): + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + + +class Confidence(str, Enum): + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + + +class Workflow(str, Enum): + NEEDS_REVIEW = "needs_review" + CONTEXT_ONLY = "context_only" + INSUFFICIENT = "insufficient_evidence" + CLEAR = "no_alert" + + +class ApprovalStatus(str, Enum): + NONE = "none" + APPROVED_WINDOW = "approved_window" + UNKNOWN = "unknown" + + +class ActorKind(str, Enum): + HUMAN = "human" + SERVICE = "service" + ROOT = "root" + AWS_SERVICE = "aws_service" + UNKNOWN = "unknown" + + +class Verdict(str, Enum): + READY = "ready" + INSUFFICIENT = "insufficient_evidence" + INVALID = "invalid_input" + + +class Feedback(str, Enum): + CORRECT = "correct" + FALSE_POSITIVE = "false_positive" + INSUFFICIENT = "insufficient_evidence" + NEEDS_REVIEW = "needs_review" + + +class ClaimKind(str, Enum): + OBSERVED = "observed" + INFERRED = "inferred" + ACTION = "action" + UNKNOWN = "unknown" + + +class StateKnown(str, Enum): + KNOWN = "known" + UNKNOWN = "unknown" + + +REVIEW_FAMILIES = { + Family.REVIEW_IAM.value, + Family.REVIEW_EXPOSURE.value, + Family.REVIEW_LOGGING.value, + Family.REVIEW_ROOT.value, + Family.REVIEW_TRUST.value, +} +CONTEXT_FAMILIES = { + Family.BENIGN_MAINTENANCE.value, + Family.BENIGN_RESTRICTED_SG.value, +} +SENSITIVE_TYPES = {item.value for item in ChangeType if item != ChangeType.NONE} +MAINTENANCE_ALLOWED_TYPES = { + ChangeType.IAM_PRIVILEGE_GRANT.value, + ChangeType.SECURITY_GROUP_INGRESS.value, +} +ADMIN_POLICY_MARKERS = ("administratoraccess", "iamfullaccess", "poweruseraccess") +PUBLIC_MARKERS = ("http://acs.amazonaws.com/groups/global/allusers", '"principal":"*"', '"principal": "*"') +SEVERITY_WEIGHT = {Severity.HIGH.value: 4.0, Severity.MEDIUM.value: 3.2, Severity.LOW.value: 1.8} diff --git a/demo/src/explain.py b/demo/src/explain.py new file mode 100644 index 0000000000000000000000000000000000000000..9e835122892f432e3113869aa0562878826f5f2e --- /dev/null +++ b/demo/src/explain.py @@ -0,0 +1,125 @@ +from __future__ import annotations + +from src.domain import AlertClass, ClaimKind, MIN_VALID_EVENTS, StateKnown, Tag, Verdict +from src.i18n import t +from src.schemas import ChangeFinding, Claim, PipelineResult, ValidationReport + + +def status_label(lang: str, verdict: Verdict, live: bool) -> str: + suffix = t(lang, "live_note") if live else t(lang, "cached_note") + return f"{t(lang, f'verdict_{verdict.value}')} · {suffix}" + + +def decide_verdict(n_valid: int, report: ValidationReport) -> Verdict: + if not report.ok: + return Verdict.INVALID + if n_valid < MIN_VALID_EVENTS: + return Verdict.INSUFFICIENT + return Verdict.READY + + +def reasons(lang: str, result: PipelineResult) -> list[str]: + kpis = result.kpis + lines = [ + t(lang, "reason_counts").format(valid=kpis.n_valid, raw=kpis.n_raw, dropped=kpis.n_dropped, changes=kpis.n_changes), + t(lang, "reason_alerts").format(security=kpis.n_security_review, context=kpis.n_context, threshold=kpis.threshold), + t(lang, "reason_eval").format( + recall="—" if kpis.event_recall is None else f"{100 * kpis.event_recall:.0f}%", + precision="—" if kpis.precision_at_k is None else f"{100 * kpis.precision_at_k:.0f}%", + fa="—" if kpis.false_alarms_per_account_day is None else f"{kpis.false_alarms_per_account_day:.3f}", + ), + t(lang, "reason_maint").format(n=kpis.maintenance_as_security), + t(lang, "reason_score"), + ] + for issue in result.validation.issues[:6]: + lines.append(f"{issue.severity}: {issue.message}") + return lines + + +def annotate_finding(row: ChangeFinding) -> ChangeFinding: + before = f"`{row.before_event_id}`" if row.before_state == StateKnown.KNOWN and row.before_event_id else "unknown" + after = f"`{row.after_event_id or row.event_id}`" if row.after_state == StateKnown.KNOWN else "unknown" + row.observed = [ + f"`{row.event_name}` by `{row.actor_alias}` ({row.actor_kind}/{row.actor_role}) on `{row.account_alias}` at `{row.timestamp}`", + f"resource `{row.resource_alias}` ({row.resource_kind}) in `{row.region}`; change_type `{row.change_type}`", + f"request summary: {row.request_summary or '—'}", + f"before={before}; after={after}; ticket `{row.change_ticket or 'none'}`; approval `{row.approval_status.value}`", + f"evidence event_id values: {', '.join(row.evidence_event_ids[:6]) or row.event_id}", + ] + row.inferred = [ + f"tag `{row.tag.value}` is a review hint, not proof of current cloud exposure", + f"score={row.score:.2f}; methods={', '.join(row.methods_fired) or 'none'}", + f"open_cidr={row.cidr_open}; public_policy={row.policy_public}; logging_off={row.logging_off}; detector_off={row.detector_off}; wildcard_trust={row.wildcard_trust}", + f"severity `{row.severity.value}` is separate from approval `{row.approval_status.value}`", + ] + if row.gold_event_ids: + row.inferred.append(f"overlaps lab event {', '.join(row.gold_event_ids)} ({row.gold_family or 'unlabeled'})") + if row.incomplete: + row.action = "Request parameters are missing. Mark as insufficient evidence. Do not conclude current exposure or apply a cloud change from this demo." + elif row.tag == Tag.MAINTENANCE: + row.action = "This matches the approved Sunday staging window and ticket. Keep it as context; severity can still be medium." + elif row.tag == Tag.OPEN_SG: + row.action = "The event requested 0.0.0.0/0. Review the security-group change. This screen does not update AWS." + elif row.tag == Tag.PUBLIC_S3: + row.action = "The event requested a public-access change. Current bucket exposure is unknown unless a before event is also in this export." + elif row.tag == Tag.TRAIL_STOP: + row.action = "Logging stop/delete was requested. Confirm with the change ticket; do not call the trail disabled in production from one event." + elif row.tag == Tag.DETECTOR: + row.action = "A detector or recorder disable was requested. Review as logging control, not as a confirmed blind spot." + elif row.tag == Tag.ROOT: + row.action = "Root activity is always reviewable. This demo never uses a root credential and never changes the account." + elif row.tag == Tag.TRUST: + row.action = "The trust policy request includes a wildcard principal. Review the role; do not assume the live policy equals this event." + elif row.tag == Tag.IAM_ESCALATION: + row.action = "A privilege-grant event is on the backlog. Confirm the intended role and ticket. No IAM write is sent from here." + elif row.tag == Tag.ACCESS_KEY: + row.action = "An access key create event needs a human look. Keys in this lab are fake and redacted." + elif row.tag == Tag.RESTRICTED_SG: + row.action = "Ingress is present but not 0.0.0.0/0. Treat as context unless other evidence appears." + else: + row.action = "No security-review alert. Keep the change as context or ignore read-only noise." + row.claims = [ + Claim(kind=ClaimKind.OBSERVED, text=row.observed[0], locator=row.event_id, field="event"), + Claim(kind=ClaimKind.INFERRED, text=row.inferred[0], locator=row.event_id, field="tag"), + Claim(kind=ClaimKind.ACTION, text=row.action, locator=row.event_id, field="action"), + ] + if row.before_state == StateKnown.UNKNOWN or row.after_state == StateKnown.UNKNOWN: + row.claims.append( + Claim( + kind=ClaimKind.UNKNOWN, + text="Before/after configuration is unknown unless both events exist in this export.", + locator=row.event_id, + field="before_after", + ) + ) + if row.alert_class == AlertClass.NONE and not row.gold_event_ids: + row.claims.append(Claim(kind=ClaimKind.UNKNOWN, text="No authored lab event overlaps this change.", locator=row.event_id, field="gold")) + return row + + +def finding_markdown(lang: str, row: ChangeFinding | None) -> str: + if row is None: + return t(lang, "empty_card") + observed = "\n".join(f"- {text}" for text in row.observed) or "- —" + inferred = "\n".join(f"- {text}" for text in row.inferred) or "- —" + return ( + f"### `{row.finding_id}`\n\n" + f"**{t(lang, 'observed')}**\n{observed}\n\n" + f"**{t(lang, 'inferred')}**\n{inferred}\n\n" + f"**{t(lang, 'action')}**\n- {row.action}\n\n" + f"{t(lang, 'severity')} `{row.severity.value}` · {t(lang, 'confidence')} `{row.confidence.value}` · " + f"{t(lang, 'workflow')} `{row.workflow.value}` · {t(lang, 'approval')} `{row.approval_status.value}` · " + f"gold `{row.gold_family or '—'}`" + ) + + +def state_markdown(lang: str, row: ChangeFinding | None) -> str: + if row is None: + return t(lang, "empty_state") + return ( + f"**{t(lang, 'state_card')}** `{row.resource_alias}`\n\n" + f"- {t(lang, 'before')}: `{row.before_state.value}` {('· `' + row.before_event_id + '`') if row.before_event_id else ''}\n" + f"- {t(lang, 'after')}: `{row.after_state.value}` {('· `' + (row.after_event_id or row.event_id) + '`') if row.after_state.value == 'known' else ''}\n" + f"- {t(lang, 'state_note')}\n" + f"- {t(lang, 'approval')}: `{row.approval_status.value}` · ticket `{row.change_ticket or '—'}`" + ) diff --git a/demo/src/features.py b/demo/src/features.py new file mode 100644 index 0000000000000000000000000000000000000000..53e29b6d15b9dba62780d1f3f1dbfad068c03476 --- /dev/null +++ b/demo/src/features.py @@ -0,0 +1,193 @@ +from __future__ import annotations + +from typing import Any + +import numpy as np +import pandas as pd + +from src.domain import ( + BURST_WINDOW_MINUTES, + FEATURE_COLUMNS, + SENSITIVE_TYPES, + Split, + TEST_START_ISO, +) +from src.mapper import normalize_event +from src.parsers import parse_timestamp +from src.ruleset import maintenance_match, severity_for + + +def events_frame(rows: list[dict[str, Any]] | pd.DataFrame) -> pd.DataFrame: + if isinstance(rows, pd.DataFrame): + records = rows.to_dict(orient="records") + else: + records = list(rows) + cleaned = [normalize_event(row) for row in records] + frame = pd.DataFrame(cleaned) + if frame.empty: + return frame + frame["ts"] = [parse_timestamp(value) for value in frame["timestamp"]] + valid = frame["ts"].notna() & frame["event_name"].astype(str).ne("") + frame = frame.loc[valid].copy().reset_index(drop=True) + if frame.empty: + return frame + test_start = pd.Timestamp(TEST_START_ISO) + existing = frame["split"].replace("", Split.DEVELOPMENT.value) + frame["split"] = np.where(pd.to_datetime(frame["ts"], utc=True) >= test_start, Split.TEST.value, existing) + frame["hour"] = pd.to_datetime(frame["ts"], utc=True).dt.hour + frame["weekday"] = pd.to_datetime(frame["ts"], utc=True).dt.weekday + frame["weekend"] = frame["weekday"].isin([5, 6]).astype(float) + human = frame["actor_kind"].eq("human") + unusual = human & ((frame["hour"] < 6) | (frame["hour"] >= 22) | frame["weekday"].eq(6)) + frame["unusual_hour"] = unusual.astype(float) + frame["in_window"] = frame["weekday"].eq(6) & frame["hour"].between(2, 5) + flags = frame.apply( + lambda row: { + "cidr_open": bool(row.get("cidr_open")), + "policy_public": bool(row.get("policy_public")), + "admin_policy": bool(row.get("admin_policy")), + "logging_off": bool(row.get("logging_off")), + "detector_off": bool(row.get("detector_off")), + "wildcard_trust": bool(row.get("wildcard_trust")), + "is_root": row.get("actor_kind") == "root", + "hardening": bool(row.get("hardening")), + }, + axis=1, + ) + frame["severity"] = [ + severity_for(str(row.change_type), flags.iloc[idx]).value for idx, row in enumerate(frame.itertuples(index=False)) + ] + frame["in_maintenance"] = [ + maintenance_match( + str(row.account_alias), + str(row.actor_alias), + str(row.change_type), + flags.iloc[idx], + str(row.change_ticket or ""), + bool(row.in_window), + ) + for idx, row in enumerate(frame.itertuples(index=False)) + ] + frame["approval_status"] = np.where(frame["in_maintenance"], "approved_window", "none") + frame["approval_status"] = np.where( + frame["change_ticket"].astype(str).ne("") & ~frame["in_maintenance"], + "unknown", + frame["approval_status"], + ) + frame = _pair_before_after(frame) + frame = _burst_counts(frame) + frame["is_root"] = frame["actor_kind"].eq("root").astype(float) + frame["is_service"] = frame["actor_kind"].eq("service").astype(float) + frame["is_human"] = frame["actor_kind"].eq("human").astype(float) + frame["error_event"] = frame["error_code"].astype(str).ne("").astype(float) + frame["sensitive"] = frame["change_type"].isin(SENSITIVE_TYPES) & ~frame["hardening"].astype(bool) + return frame.sort_values(["ts", "event_id"]).reset_index(drop=True) + + +def _pair_before_after(frame: pd.DataFrame) -> pd.DataFrame: + work = frame.sort_values("ts").copy() + before_ids: list[str] = [] + before_known: list[bool] = [] + after_known: list[bool] = [] + for idx, row in work.iterrows(): + if row["change_type"] not in SENSITIVE_TYPES or row["hardening"]: + before_ids.append("") + before_known.append(False) + after_known.append(False) + continue + prior = work.loc[ + (work["ts"] < row["ts"]) + & (work["account_alias"] == row["account_alias"]) + & (work["resource_alias"] == row["resource_alias"]) + & (work["resource_alias"].astype(str).ne("res_unknown")) + ] + if prior.empty: + before_ids.append("") + before_known.append(False) + after_known.append(not bool(row.get("incomplete"))) + continue + before_ids.append(str(prior.iloc[-1]["event_id"])) + before_known.append(True) + after_known.append(not bool(row.get("incomplete"))) + work["before_event_id"] = before_ids + work["after_event_id"] = np.where(work["event_id"].astype(str).ne(""), work["event_id"], "") + work["has_before"] = np.array(before_known, dtype=float) + work["has_after"] = np.array(after_known, dtype=float) + work["before_state"] = np.where(work["has_before"] >= 1, "known", "unknown") + work["after_state"] = np.where(work["has_after"] >= 1, "known", "unknown") + return work + + +def _burst_counts(frame: pd.DataFrame) -> pd.DataFrame: + work = frame.sort_values("ts").copy() + counts = [] + window = pd.Timedelta(minutes=BURST_WINDOW_MINUTES) + sensitive = work["change_type"].isin(SENSITIVE_TYPES) & ~work["hardening"].astype(bool) + for _, row in work.iterrows(): + if not bool(sensitive.loc[row.name] if row.name in sensitive.index else False): + counts.append(0) + continue + mask = ( + (work["actor_alias"] == row["actor_alias"]) + & (work["ts"] <= row["ts"]) + & (work["ts"] >= row["ts"] - window) + & sensitive + ) + counts.append(int(mask.sum())) + work["burst_count"] = counts + return work + + +def feature_matrix(frame: pd.DataFrame) -> pd.DataFrame: + if frame.empty: + return pd.DataFrame(columns=list(FEATURE_COLUMNS)) + data = {} + for column in FEATURE_COLUMNS: + if column == "severity_weight": + data[column] = frame["severity"].map({"high": 4.0, "medium": 3.2, "low": 1.8}).fillna(0.0) + elif column in frame.columns: + data[column] = pd.to_numeric(frame[column], errors="coerce").fillna(0.0) + else: + data[column] = 0.0 + return pd.DataFrame(data, index=frame.index) + + +def attach_gold(frame: pd.DataFrame, gold: pd.DataFrame | list[dict[str, Any]] | None) -> pd.DataFrame: + out = frame.copy() + out["gold_event_ids"] = "" + out["gold_family"] = "" + out["detect_delay_min"] = np.nan + if gold is None: + return out + gold_frame = gold if isinstance(gold, pd.DataFrame) else pd.DataFrame(gold) + if gold_frame.empty: + return out + gold_frame = gold_frame.copy() + gold_frame["start_ts"] = [parse_timestamp(value) for value in gold_frame["start"]] + gold_frame["end_ts"] = [parse_timestamp(value) for value in gold_frame["end"]] + for event in gold_frame.itertuples(index=False): + lab_id = str(event.event_id) + direct = out["lab_event_id"].astype(str).eq(lab_id) | out["event_id"].astype(str).eq(lab_id) + if event.start_ts and event.end_ts: + overlap = (out["ts"] >= event.start_ts) & (out["ts"] <= event.end_ts) + if getattr(event, "account_alias", ""): + overlap = overlap & out["account_alias"].astype(str).eq(str(event.account_alias)) + if getattr(event, "actor_alias", ""): + overlap = overlap & out["actor_alias"].astype(str).eq(str(event.actor_alias)) + else: + overlap = pd.Series(False, index=out.index) + hit = direct | overlap + if not hit.any(): + continue + current = out.loc[hit, "gold_event_ids"].astype(str) + out.loc[hit, "gold_event_ids"] = np.where(current.eq("") | current.eq("nan"), lab_id, current + "," + lab_id) + out.loc[hit, "gold_family"] = str(event.family) + delay = (pd.to_datetime(out.loc[hit, "ts"], utc=True) - pd.Timestamp(event.start_ts)).dt.total_seconds() / 60.0 + out.loc[hit, "detect_delay_min"] = delay + return out + + +def change_view(frame: pd.DataFrame) -> pd.DataFrame: + if frame.empty: + return frame + return frame.loc[frame["change_type"].isin(SENSITIVE_TYPES)].copy() diff --git a/demo/src/generator.py b/demo/src/generator.py new file mode 100644 index 0000000000000000000000000000000000000000..5e1e960a589c352e155bcf4cba921c428cf3ca4d --- /dev/null +++ b/demo/src/generator.py @@ -0,0 +1,829 @@ +from __future__ import annotations + +import json +from datetime import datetime, timedelta, timezone +from pathlib import Path +from typing import Any + +import numpy as np +import pandas as pd + +from src.domain import ( + ACCOUNT_IDS, + DEFAULT_SEED, + MAINTENANCE_TICKET, + ChangeType, + Family, + Split, + TEST_START_ISO, +) +from src.schemas import LabEvent + +UTC = timezone.utc +START = datetime(2026, 4, 1, tzinfo=UTC) +TEST_START = datetime.fromisoformat(TEST_START_ISO.replace("Z", "+00:00")) +DAYS = 14 +REGION = "us-east-1" + +ACTORS: dict[str, dict[str, str]] = { + "alice": {"type": "IAMUser", "account": "prod", "name": "alice"}, + "bob": {"type": "IAMUser", "account": "staging", "name": "bob"}, + "carol": {"type": "IAMUser", "account": "sandbox", "name": "carol"}, + "dave": {"type": "IAMUser", "account": "prod", "name": "dave"}, + "root": {"type": "Root", "account": "prod", "name": "root"}, + "terraform-staging": {"type": "AssumedRole", "account": "staging", "name": "terraform-staging"}, + "terraform-prod": {"type": "AssumedRole", "account": "prod", "name": "terraform-prod"}, + "ci-github": {"type": "AssumedRole", "account": "staging", "name": "ci-github"}, + "lambda-rotator": {"type": "AssumedRole", "account": "prod", "name": "lambda-rotator"}, +} + +READ_EVENTS = ( + ("iam.amazonaws.com", "ListUsers", True), + ("iam.amazonaws.com", "GetRole", True), + ("s3.amazonaws.com", "GetBucketAcl", True), + ("ec2.amazonaws.com", "DescribeInstances", True), + ("cloudtrail.amazonaws.com", "DescribeTrails", True), + ("sts.amazonaws.com", "GetCallerIdentity", True), + ("guardduty.amazonaws.com", "GetDetector", True), +) + + +def iso(ts: datetime) -> str: + return ts.astimezone(UTC).strftime("%Y-%m-%dT%H:%M:%SZ") + + +def split_for(ts: datetime) -> str: + return Split.TEST.value if ts >= TEST_START else Split.DEVELOPMENT.value + + +def account_id(key: str) -> str: + return ACCOUNT_IDS[key] + + +def lab_events() -> list[LabEvent]: + return [ + LabEvent( + event_id="EVT-MAINT-DEV-01", + account_alias="acct_staging", + actor_alias="role_terraform-staging", + start=iso(START + timedelta(days=4, hours=2, minutes=15)), + end=iso(START + timedelta(days=4, hours=2, minutes=16)), + family=Family.BENIGN_MAINTENANCE.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.IAM_PRIVILEGE_GRANT.value, + note="Sunday staging window. Terraform attaches a job role policy with ticket CHG-4411.", + ), + LabEvent( + event_id="EVT-SG-SAFE-DEV-01", + account_alias="acct_staging", + actor_alias="role_terraform-staging", + start=iso(START + timedelta(days=4, hours=2, minutes=40)), + end=iso(START + timedelta(days=4, hours=2, minutes=41)), + family=Family.BENIGN_RESTRICTED_SG.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.SECURITY_GROUP_INGRESS.value, + note="Maintenance SG ingress from 10.0.0.0/8, not 0.0.0.0/0.", + ), + LabEvent( + event_id="EVT-IAM-DEV-01", + account_alias="acct_prod", + actor_alias="usr_alice", + start=iso(START + timedelta(days=2, hours=3, minutes=12)), + end=iso(START + timedelta(days=2, hours=3, minutes=13)), + family=Family.REVIEW_IAM.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.IAM_PRIVILEGE_GRANT.value, + note="Off-hours AttachUserPolicy AdministratorAccess on prod.", + ), + LabEvent( + event_id="EVT-S3-DEV-01", + account_alias="acct_prod", + actor_alias="usr_bob", + start=iso(START + timedelta(days=3, hours=14, minutes=22)), + end=iso(START + timedelta(days=3, hours=14, minutes=23)), + family=Family.REVIEW_EXPOSURE.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.S3_PUBLIC_EXPOSURE.value, + note="DeletePublicAccessBlock on a prod bucket. That is a request, not proven current exposure.", + ), + LabEvent( + event_id="EVT-SG-OPEN-DEV-01", + account_alias="acct_prod", + actor_alias="usr_alice", + start=iso(START + timedelta(days=2, hours=18)), + end=iso(START + timedelta(days=2, hours=18, minutes=1)), + family=Family.REVIEW_EXPOSURE.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.SECURITY_GROUP_INGRESS.value, + note="AuthorizeSecurityGroupIngress 0.0.0.0/0 on prod.", + ), + LabEvent( + event_id="EVT-TRAIL-DEV-01", + account_alias="acct_prod", + actor_alias="usr_carol", + start=iso(START + timedelta(days=5, hours=1, minutes=5)), + end=iso(START + timedelta(days=5, hours=1, minutes=6)), + family=Family.REVIEW_LOGGING.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.TRAIL_LOGGING_CHANGE.value, + note="Contractor StopLogging on the prod trail.", + ), + LabEvent( + event_id="EVT-ROOT-DEV-01", + account_alias="acct_prod", + actor_alias="root_lab", + start=iso(START + timedelta(days=6, hours=9)), + end=iso(START + timedelta(days=6, hours=9, minutes=1)), + family=Family.REVIEW_ROOT.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.ROOT_ACTIVITY.value, + note="Root console login.", + ), + LabEvent( + event_id="EVT-TRUST-DEV-01", + account_alias="acct_prod", + actor_alias="usr_dave", + start=iso(START + timedelta(days=7, hours=16, minutes=10)), + end=iso(START + timedelta(days=7, hours=16, minutes=11)), + family=Family.REVIEW_TRUST.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.ROLE_TRUST_CHANGE.value, + note="UpdateAssumeRolePolicy with Principal *.", + ), + LabEvent( + event_id="EVT-KEY-DEV-01", + account_alias="acct_staging", + actor_alias="usr_bob", + start=iso(START + timedelta(days=6, hours=11, minutes=20)), + end=iso(START + timedelta(days=6, hours=11, minutes=21)), + family=Family.REVIEW_IAM.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.IAM_CREDENTIAL_CREATE.value, + note="CreateAccessKey for a staging user during business hours.", + ), + LabEvent( + event_id="EVT-INSUFF-DEV-01", + account_alias="acct_prod", + actor_alias="usr_bob", + start=iso(START + timedelta(days=1, hours=11)), + end=iso(START + timedelta(days=1, hours=11, minutes=1)), + family=Family.INSUFFICIENT.value, + split=Split.DEVELOPMENT.value, + change_type=ChangeType.S3_PUBLIC_EXPOSURE.value, + note="PutBucketPolicy without requestParameters. Before/after unknown.", + ), + LabEvent( + event_id="EVT-MAINT-01", + account_alias="acct_staging", + actor_alias="role_terraform-staging", + start=iso(START + timedelta(days=11, hours=2, minutes=20)), + end=iso(START + timedelta(days=11, hours=2, minutes=21)), + family=Family.BENIGN_MAINTENANCE.value, + split=Split.TEST.value, + change_type=ChangeType.IAM_PRIVILEGE_GRANT.value, + note="Held-out Sunday staging terraform AttachRolePolicy with CHG-4411.", + ), + LabEvent( + event_id="EVT-SG-SAFE-01", + account_alias="acct_staging", + actor_alias="role_terraform-staging", + start=iso(START + timedelta(days=11, hours=3, minutes=5)), + end=iso(START + timedelta(days=11, hours=3, minutes=6)), + family=Family.BENIGN_RESTRICTED_SG.value, + split=Split.TEST.value, + change_type=ChangeType.SECURITY_GROUP_INGRESS.value, + note="Held-out restricted SG during the approved window.", + ), + LabEvent( + event_id="EVT-IAM-01", + account_alias="acct_prod", + actor_alias="usr_alice", + start=iso(START + timedelta(days=10, hours=2, minutes=48)), + end=iso(START + timedelta(days=10, hours=2, minutes=49)), + family=Family.REVIEW_IAM.value, + split=Split.TEST.value, + change_type=ChangeType.IAM_PRIVILEGE_GRANT.value, + note="Held-out off-hours AdministratorAccess attach on prod.", + ), + LabEvent( + event_id="EVT-S3-01", + account_alias="acct_prod", + actor_alias="usr_bob", + start=iso(START + timedelta(days=10, hours=15, minutes=30)), + end=iso(START + timedelta(days=10, hours=15, minutes=31)), + family=Family.REVIEW_EXPOSURE.value, + split=Split.TEST.value, + change_type=ChangeType.S3_PUBLIC_EXPOSURE.value, + note="Held-out DeletePublicAccessBlock.", + ), + LabEvent( + event_id="EVT-SG-OPEN-01", + account_alias="acct_prod", + actor_alias="usr_bob", + start=iso(START + timedelta(days=10, hours=18, minutes=20)), + end=iso(START + timedelta(days=10, hours=18, minutes=21)), + family=Family.REVIEW_EXPOSURE.value, + split=Split.TEST.value, + change_type=ChangeType.SECURITY_GROUP_INGRESS.value, + note="Held-out 0.0.0.0/0 security group ingress.", + ), + LabEvent( + event_id="EVT-TRAIL-01", + account_alias="acct_prod", + actor_alias="usr_carol", + start=iso(START + timedelta(days=12, hours=0, minutes=40)), + end=iso(START + timedelta(days=12, hours=0, minutes=41)), + family=Family.REVIEW_LOGGING.value, + split=Split.TEST.value, + change_type=ChangeType.TRAIL_LOGGING_CHANGE.value, + note="Held-out StopLogging.", + ), + LabEvent( + event_id="EVT-ROOT-01", + account_alias="acct_prod", + actor_alias="root_lab", + start=iso(START + timedelta(days=12, hours=10, minutes=15)), + end=iso(START + timedelta(days=12, hours=10, minutes=16)), + family=Family.REVIEW_ROOT.value, + split=Split.TEST.value, + change_type=ChangeType.ROOT_ACTIVITY.value, + note="Held-out root CreateAccessKey.", + ), + LabEvent( + event_id="EVT-TRUST-01", + account_alias="acct_prod", + actor_alias="usr_dave", + start=iso(START + timedelta(days=13, hours=11, minutes=20)), + end=iso(START + timedelta(days=13, hours=11, minutes=21)), + family=Family.REVIEW_TRUST.value, + split=Split.TEST.value, + change_type=ChangeType.ROLE_TRUST_CHANGE.value, + note="Held-out wildcard trust policy.", + ), + LabEvent( + event_id="EVT-GD-01", + account_alias="acct_prod", + actor_alias="usr_alice", + start=iso(START + timedelta(days=13, hours=1, minutes=10)), + end=iso(START + timedelta(days=13, hours=1, minutes=11)), + family=Family.REVIEW_LOGGING.value, + split=Split.TEST.value, + change_type=ChangeType.DETECTOR_DISABLE.value, + note="Held-out GuardDuty UpdateDetector Enable=false.", + ), + LabEvent( + event_id="EVT-KEY-01", + account_alias="acct_staging", + actor_alias="usr_bob", + start=iso(START + timedelta(days=11, hours=11, minutes=40)), + end=iso(START + timedelta(days=11, hours=11, minutes=41)), + family=Family.REVIEW_IAM.value, + split=Split.TEST.value, + change_type=ChangeType.IAM_CREDENTIAL_CREATE.value, + note="Held-out CreateAccessKey. Medium severity; should drop at a high T.", + ), + LabEvent( + event_id="EVT-INSUFF-01", + account_alias="acct_prod", + actor_alias="usr_bob", + start=iso(START + timedelta(days=9, hours=13)), + end=iso(START + timedelta(days=9, hours=13, minutes=1)), + family=Family.INSUFFICIENT.value, + split=Split.TEST.value, + change_type=ChangeType.S3_PUBLIC_EXPOSURE.value, + note="Held-out PutBucketAcl without requestParameters.", + ), + ] + + +def _identity(actor_key: str) -> dict[str, Any]: + spec = ACTORS[actor_key] + acct = account_id(spec["account"]) + name = spec["name"] + if spec["type"] == "Root": + return { + "type": "Root", + "principalId": f"{acct}", + "arn": f"arn:aws:iam::{acct}:root", + "accountId": acct, + } + if spec["type"] == "AssumedRole": + return { + "type": "AssumedRole", + "principalId": f"{acct}:{name}", + "arn": f"arn:aws:sts::{acct}:assumed-role/{name}/session", + "accountId": acct, + "sessionContext": { + "sessionIssuer": { + "type": "Role", + "userName": name, + "arn": f"arn:aws:iam::{acct}:role/{name}", + "accountId": acct, + } + }, + } + return { + "type": "IAMUser", + "principalId": f"AIDAI{name.upper()[:8]}LAB", + "arn": f"arn:aws:iam::{acct}:user/{name}", + "accountId": acct, + "userName": name, + } + + +def _event( + event_id: str, + ts: datetime, + actor_key: str, + source: str, + name: str, + request: dict[str, Any] | None, + *, + read_only: bool = False, + user_agent: str = "aws-cli/2.15.0", + ip: str = "203.0.113.10", + lab_event_id: str = "", + lab_family: str = "", + ticket: str = "", + incomplete: bool = False, + error_code: str | None = None, +) -> dict[str, Any]: + spec = ACTORS[actor_key] + acct = account_id(spec["account"]) + payload: dict[str, Any] = { + "eventVersion": "1.09", + "userIdentity": _identity(actor_key), + "eventTime": iso(ts), + "eventSource": source, + "eventName": name, + "awsRegion": REGION, + "sourceIPAddress": ip, + "userAgent": user_agent, + "requestParameters": None if incomplete else (request or {}), + "responseElements": None if read_only or incomplete else {"_lab": True}, + "requestID": f"req-{event_id.lower()}", + "eventID": event_id, + "readOnly": read_only, + "eventType": "AwsApiCall", + "managementEvent": True, + "recipientAccountId": acct, + "errorCode": error_code, + "lab_event_id": lab_event_id, + "lab_family": lab_family, + "change_ticket": ticket, + "split": split_for(ts), + "incomplete": incomplete, + } + return payload + + +def _authored() -> list[dict[str, Any]]: + rows: list[dict[str, Any]] = [] + specs = [ + ( + "EVT-MAINT-DEV-01", + START + timedelta(days=4, hours=2, minutes=15), + "terraform-staging", + "iam.amazonaws.com", + "AttachRolePolicy", + {"roleName": "job-runner", "policyArn": "arn:aws:iam::aws:policy/ReadOnlyAccess"}, + {"lab_family": Family.BENIGN_MAINTENANCE.value, "ticket": MAINTENANCE_TICKET, "ua": "terraform/1.9.0", "ip": "198.51.100.20"}, + ), + ( + "EVT-SG-SAFE-DEV-01", + START + timedelta(days=4, hours=2, minutes=40), + "terraform-staging", + "ec2.amazonaws.com", + "AuthorizeSecurityGroupIngress", + {"groupId": "sg-staging-web", "cidrIp": "10.0.0.0/8", "fromPort": 443, "toPort": 443}, + {"lab_family": Family.BENIGN_RESTRICTED_SG.value, "ticket": MAINTENANCE_TICKET, "ua": "terraform/1.9.0", "ip": "198.51.100.20"}, + ), + ( + "EVT-IAM-DEV-01", + START + timedelta(days=2, hours=3, minutes=12), + "alice", + "iam.amazonaws.com", + "AttachUserPolicy", + {"userName": "carol", "policyArn": "arn:aws:iam::aws:policy/AdministratorAccess"}, + {"lab_family": Family.REVIEW_IAM.value, "ua": "console.amazonaws.com", "ip": "203.0.113.10"}, + ), + ( + "EVT-S3-DEV-01", + START + timedelta(days=3, hours=14, minutes=22), + "bob", + "s3.amazonaws.com", + "DeletePublicAccessBlock", + {"bucketName": "prod-invoice-export"}, + {"lab_family": Family.REVIEW_EXPOSURE.value, "ua": "aws-cli/2.15.0", "ip": "192.0.2.55"}, + ), + ( + "EVT-SG-OPEN-DEV-01", + START + timedelta(days=2, hours=18), + "alice", + "ec2.amazonaws.com", + "AuthorizeSecurityGroupIngress", + {"groupId": "sg-prod-web", "cidrIp": "0.0.0.0/0", "fromPort": 22, "toPort": 22}, + {"lab_family": Family.REVIEW_EXPOSURE.value, "ua": "console.amazonaws.com"}, + ), + ( + "EVT-TRAIL-DEV-01", + START + timedelta(days=5, hours=1, minutes=5), + "carol", + "cloudtrail.amazonaws.com", + "StopLogging", + {"name": "org-management"}, + {"lab_family": Family.REVIEW_LOGGING.value, "ip": "192.0.2.55"}, + ), + ( + "EVT-ROOT-DEV-01", + START + timedelta(days=6, hours=9), + "root", + "signin.amazonaws.com", + "ConsoleLogin", + {}, + {"lab_family": Family.REVIEW_ROOT.value, "ua": "signin.amazonaws.com"}, + ), + ( + "EVT-TRUST-DEV-01", + START + timedelta(days=7, hours=16, minutes=10), + "dave", + "iam.amazonaws.com", + "UpdateAssumeRolePolicy", + {"roleName": "ci-deploy", "policyDocument": '{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":"*","Action":"sts:AssumeRole"}]}'}, + {"lab_family": Family.REVIEW_TRUST.value}, + ), + ( + "EVT-KEY-DEV-01", + START + timedelta(days=6, hours=11, minutes=20), + "bob", + "iam.amazonaws.com", + "CreateAccessKey", + {"userName": "deploy-bot"}, + {"lab_family": Family.REVIEW_IAM.value}, + ), + ( + "EVT-INSUFF-DEV-01", + START + timedelta(days=1, hours=11), + "bob", + "s3.amazonaws.com", + "PutBucketPolicy", + None, + {"lab_family": Family.INSUFFICIENT.value, "incomplete": True}, + ), + ( + "EVT-MAINT-01", + START + timedelta(days=11, hours=2, minutes=20), + "terraform-staging", + "iam.amazonaws.com", + "AttachRolePolicy", + {"roleName": "job-runner", "policyArn": "arn:aws:iam::aws:policy/ReadOnlyAccess"}, + {"lab_family": Family.BENIGN_MAINTENANCE.value, "ticket": MAINTENANCE_TICKET, "ua": "terraform/1.9.0", "ip": "198.51.100.20"}, + ), + ( + "EVT-SG-SAFE-01", + START + timedelta(days=11, hours=3, minutes=5), + "terraform-staging", + "ec2.amazonaws.com", + "AuthorizeSecurityGroupIngress", + {"groupId": "sg-staging-web", "cidrIp": "10.0.0.0/8", "fromPort": 443, "toPort": 443}, + {"lab_family": Family.BENIGN_RESTRICTED_SG.value, "ticket": MAINTENANCE_TICKET, "ua": "terraform/1.9.0", "ip": "198.51.100.20"}, + ), + ( + "EVT-IAM-01", + START + timedelta(days=10, hours=2, minutes=48), + "alice", + "iam.amazonaws.com", + "AttachRolePolicy", + {"roleName": "break-glass", "policyArn": "arn:aws:iam::aws:policy/AdministratorAccess"}, + {"lab_family": Family.REVIEW_IAM.value, "ua": "console.amazonaws.com"}, + ), + ( + "EVT-S3-01", + START + timedelta(days=10, hours=15, minutes=30), + "bob", + "s3.amazonaws.com", + "DeletePublicAccessBlock", + {"bucketName": "prod-invoice-export"}, + {"lab_family": Family.REVIEW_EXPOSURE.value, "ip": "192.0.2.55"}, + ), + ( + "EVT-SG-OPEN-01", + START + timedelta(days=10, hours=18, minutes=20), + "bob", + "ec2.amazonaws.com", + "AuthorizeSecurityGroupIngress", + {"groupId": "sg-prod-web", "cidrIp": "0.0.0.0/0", "fromPort": 22, "toPort": 22}, + {"lab_family": Family.REVIEW_EXPOSURE.value}, + ), + ( + "EVT-TRAIL-01", + START + timedelta(days=12, hours=0, minutes=40), + "carol", + "cloudtrail.amazonaws.com", + "StopLogging", + {"name": "org-management"}, + {"lab_family": Family.REVIEW_LOGGING.value, "ip": "192.0.2.55"}, + ), + ( + "EVT-ROOT-01", + START + timedelta(days=12, hours=10, minutes=15), + "root", + "iam.amazonaws.com", + "CreateAccessKey", + {"userName": "root"}, + {"lab_family": Family.REVIEW_ROOT.value, "ua": "console.amazonaws.com"}, + ), + ( + "EVT-TRUST-01", + START + timedelta(days=13, hours=11, minutes=20), + "dave", + "iam.amazonaws.com", + "UpdateAssumeRolePolicy", + {"roleName": "ci-deploy", "policyDocument": '{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":"*","Action":"sts:AssumeRole"}]}'}, + {"lab_family": Family.REVIEW_TRUST.value}, + ), + ( + "EVT-GD-01", + START + timedelta(days=13, hours=1, minutes=10), + "alice", + "guardduty.amazonaws.com", + "UpdateDetector", + {"detectorId": "det-prod-01", "enable": False}, + {"lab_family": Family.REVIEW_LOGGING.value, "ua": "console.amazonaws.com"}, + ), + ( + "EVT-KEY-01", + START + timedelta(days=11, hours=11, minutes=40), + "bob", + "iam.amazonaws.com", + "CreateAccessKey", + {"userName": "deploy-bot"}, + {"lab_family": Family.REVIEW_IAM.value}, + ), + ( + "EVT-INSUFF-01", + START + timedelta(days=9, hours=13), + "bob", + "s3.amazonaws.com", + "PutBucketAcl", + None, + {"lab_family": Family.INSUFFICIENT.value, "incomplete": True}, + ), + ] + for event_id, ts, actor, source, name, request, extra in specs: + rows.append( + _event( + event_id, + ts, + actor, + source, + name, + request, + lab_event_id=event_id, + lab_family=str(extra.get("lab_family") or ""), + ticket=str(extra.get("ticket") or ""), + incomplete=bool(extra.get("incomplete")), + user_agent=str(extra.get("ua") or "aws-cli/2.15.0"), + ip=str(extra.get("ip") or "203.0.113.10"), + ) + ) + # Before-state companions (not gold review rows). + rows.append( + _event( + "EVT-S3-BEFORE-DEV", + START + timedelta(days=3, hours=10), + "dave", + "s3.amazonaws.com", + "PutPublicAccessBlock", + { + "bucketName": "prod-invoice-export", + "PublicAccessBlockConfiguration": { + "BlockPublicAcls": True, + "IgnorePublicAcls": True, + "BlockPublicPolicy": True, + "RestrictPublicBuckets": True, + }, + }, + read_only=False, + ) + ) + rows.append( + _event( + "EVT-S3-BEFORE-01", + START + timedelta(days=10, hours=9), + "dave", + "s3.amazonaws.com", + "PutPublicAccessBlock", + { + "bucketName": "prod-invoice-export", + "PublicAccessBlockConfiguration": { + "BlockPublicAcls": True, + "IgnorePublicAcls": True, + "BlockPublicPolicy": True, + "RestrictPublicBuckets": True, + }, + }, + ) + ) + rows.append( + _event( + "EVT-TRAIL-BEFORE-DEV", + START + timedelta(days=1, hours=8), + "dave", + "cloudtrail.amazonaws.com", + "StartLogging", + {"name": "org-management"}, + ) + ) + rows.append( + _event( + "EVT-TRAIL-BEFORE-01", + START + timedelta(days=9, hours=8), + "dave", + "cloudtrail.amazonaws.com", + "StartLogging", + {"name": "org-management"}, + ) + ) + return rows + + +def _background(seed: int) -> list[dict[str, Any]]: + rng = np.random.default_rng(seed) + rows: list[dict[str, Any]] = [] + humans = ("alice", "bob", "carol", "dave") + services = ("terraform-prod", "terraform-staging", "ci-github", "lambda-rotator") + seq = 0 + for day in range(DAYS): + for _ in range(18): + seq += 1 + actor = str(rng.choice(humans + services)) + source, name, read_only = READ_EVENTS[int(rng.integers(0, len(READ_EVENTS)))] + hour = int(rng.integers(8, 18)) + minute = int(rng.integers(0, 60)) + ts = START + timedelta(days=day, hours=hour, minutes=minute, seconds=int(rng.integers(0, 50))) + request = {"marker": "lab-read"} + if name == "GetBucketAcl": + request = {"bucketName": "prod-invoice-export"} + if name == "GetRole": + request = {"roleName": "job-runner"} + rows.append( + _event( + f"bg-{seq:04d}", + ts, + actor, + source, + name, + request, + read_only=read_only, + user_agent="aws-cli/2.15.0" if actor in humans else "terraform/1.9.0", + ip="198.51.100.20" if actor not in humans else "203.0.113.10", + ) + ) + for _ in range(3): + seq += 1 + ts = START + timedelta(days=day, hours=int(rng.integers(9, 16)), minutes=int(rng.integers(0, 60))) + rows.append( + _event( + f"tag-{seq:04d}", + ts, + str(rng.choice(("terraform-prod", "terraform-staging", "ci-github"))), + "ec2.amazonaws.com", + "CreateTags", + {"resourcesSet": {"items": [{"resourceId": "i-labweb01"}]}, "tagSet": {"items": [{"key": "env", "value": "lab"}]}}, + user_agent="terraform/1.9.0", + ip="198.51.100.20", + ) + ) + return rows + + +def build_lab(seed: int = DEFAULT_SEED) -> dict[str, Any]: + events = _authored() + _background(seed) + frame = pd.DataFrame(events) + gold = pd.DataFrame([item.model_dump() for item in lab_events()]) + return { + "events": frame, + "gold": gold, + "n_events": int(len(frame)), + "n_accounts": 3, + "seed": seed, + } + + +def filter_lab(pack: dict[str, Any], scenario: str) -> dict[str, Any]: + events: pd.DataFrame = pack["events"].copy() + gold: pd.DataFrame = pack["gold"].copy() + if scenario == "maintenance": + keep = gold["family"].isin({Family.BENIGN_MAINTENANCE.value, Family.BENIGN_RESTRICTED_SG.value, Family.BACKGROUND.value}) + gold = gold.loc[gold["family"].isin({Family.BENIGN_MAINTENANCE.value, Family.BENIGN_RESTRICTED_SG.value})].copy() + ids = set(gold["event_id"]) + events = events.loc[events["eventID"].isin(ids) | events["eventName"].isin([item[1] for item in READ_EVENTS])].copy() + _ = keep + elif scenario == "exposure": + gold = gold.loc[gold["family"].eq(Family.REVIEW_EXPOSURE.value)].copy() + ids = set(gold["event_id"]) | {"EVT-S3-BEFORE-DEV", "EVT-S3-BEFORE-01"} + events = events.loc[events["eventID"].isin(ids) | events["eventName"].isin(["GetBucketAcl", "DescribeInstances"])].copy() + elif scenario == "iam": + gold = gold.loc[gold["family"].isin({Family.REVIEW_IAM.value, Family.REVIEW_ROOT.value, Family.REVIEW_TRUST.value})].copy() + ids = set(gold["event_id"]) + events = events.loc[events["eventID"].isin(ids) | events["eventName"].eq("ListUsers")].copy() + elif scenario == "logging": + gold = gold.loc[gold["family"].eq(Family.REVIEW_LOGGING.value)].copy() + ids = set(gold["event_id"]) | {"EVT-TRAIL-BEFORE-DEV", "EVT-TRAIL-BEFORE-01"} + events = events.loc[events["eventID"].isin(ids) | events["eventName"].eq("DescribeTrails")].copy() + elif scenario == "broken": + broken = events.head(40).copy() + broken["eventTime"] = "not-a-timestamp" + return {"events": broken, "gold": gold.iloc[0:0], "n_events": len(broken), "n_accounts": 0, "seed": pack.get("seed")} + return {"events": events.reset_index(drop=True), "gold": gold.reset_index(drop=True), "n_events": int(len(events)), "n_accounts": 3, "seed": pack.get("seed")} + + +def cloudtrail_document(events: pd.DataFrame) -> dict[str, Any]: + records = [] + for row in events.to_dict(orient="records"): + item = dict(row) + records.append(item) + return {"Records": records} + + +def write_examples(folder: Path, seed: int = DEFAULT_SEED) -> dict[str, Any]: + folder.mkdir(parents=True, exist_ok=True) + pack = build_lab(seed) + events: pd.DataFrame = pack["events"] + gold = [item.model_dump() for item in lab_events()] + document = cloudtrail_document(events) + (folder / "events.json").write_text(json.dumps(document, indent=2, default=str), encoding="utf-8") + preview_ids = {item["event_id"] for item in gold} + preview = events.loc[events["eventID"].isin(preview_ids) | events["eventName"].isin(["GetBucketAcl", "ListUsers", "StartLogging", "PutPublicAccessBlock"])] + (folder / "events_preview.json").write_text(json.dumps(cloudtrail_document(preview.head(80)), indent=2, default=str), encoding="utf-8") + with (folder / "events.jsonl").open("w", encoding="utf-8") as handle: + for row in events.head(80).to_dict(orient="records"): + handle.write(json.dumps(row, default=str) + "\n") + flat = pd.DataFrame( + { + "event_id": events["eventID"], + "timestamp": events["eventTime"], + "event_name": events["eventName"], + "event_source": events["eventSource"], + "account_id": events["recipientAccountId"], + "split": events["split"], + "lab_event_id": events["lab_event_id"], + } + ) + flat.head(400).to_csv(folder / "events_preview.csv", index=False) + (folder / "gold_events.json").write_text(json.dumps(gold, indent=2), encoding="utf-8") + sample = cloudtrail_document(events.loc[events["eventID"].astype(str).str.startswith("EVT-")].head(12)) + (folder / "cloudtrail_sample.json").write_text(json.dumps(sample, indent=2, default=str), encoding="utf-8") + schema = { + "schema_id": "ariacloudtrail.change_event.v1", + "required_after_parse": ["timestamp", "event_name"], + "cloudtrail_fields": ["eventTime", "eventName", "eventSource", "userIdentity", "recipientAccountId"], + "timezone": "UTC", + "null_meaning": "missing field, not a safe default", + "change_types": [item.value for item in ChangeType if item != ChangeType.NONE], + } + (folder / "schema.json").write_text(json.dumps(schema, indent=2), encoding="utf-8") + splits = { + "development": "2026-04-01T00:00:00Z/2026-04-10T00:00:00Z", + "test": "2026-04-10T00:00:00Z/2026-04-15T00:00:00Z", + "group": "account and period; one authored event stays in one split", + "service_principals": "AssumedRole actors are modeled separately from IAM users", + "history": "before/after and burst counts use only earlier events", + } + (folder / "splits.json").write_text(json.dumps(splits, indent=2), encoding="utf-8") + (folder / "protocol.md").write_text( + "\n".join( + [ + "# AriaCloudTrail laboratory protocol", + "", + "Synthetic AWS CloudTrail management events, seed 16, three lab accounts.", + "Account IDs 111111111111 / 222222222222 / 333333333333 are aliases for prod/staging/sandbox.", + "No live cloud credentials, no configuration changes, no network calls to AWS.", + "", + "Gold `needs_review_*` ranges are authored sensitive changes. Sunday 02:00-06:00 UTC on staging with ticket CHG-4411 is approved maintenance.", + "Before/after is only claimed when both events exist in the export. A single Put/Delete does not prove current exposure.", + "", + "Split is by period (test starts 2026-04-10) and account. Rows of one authored event stay together.", + ] + ), + encoding="utf-8", + ) + (folder / "ruleset.json").write_text( + json.dumps( + { + "maintenance": { + "account": "acct_staging", + "actor": "role_terraform-staging", + "ticket": MAINTENANCE_TICKET, + "window": "Sunday 02:00-06:00 UTC", + "allowed": ["iam_privilege_grant", "security_group_ingress"], + "forbidden": ["AdministratorAccess", "0.0.0.0/0", "root"], + }, + "event_map_count": 28, + }, + indent=2, + ), + encoding="utf-8", + ) + return {"n_events": int(len(events)), "n_accounts": 3, "n_gold": len(gold), "seed": seed} diff --git a/demo/src/i18n.py b/demo/src/i18n.py new file mode 100644 index 0000000000000000000000000000000000000000..7b39f3a6629770038e5cb13eb44e34e22af059a5 --- /dev/null +++ b/demo/src/i18n.py @@ -0,0 +1,203 @@ +from __future__ import annotations + +TEXTS = { + "en": { + "title": "AriaCloudTrail — Sensitive Cloud Change Review", + "subtitle": "Review IAM, logging, and exposure changes in exported AWS CloudTrail. An approved maintenance window is not the same as a live misconfiguration.", + "kind": "Cloud SOC workstation · CPU · synthetic CloudTrail lab · no cloud credentials", + "run_sample": "Run sample", + "cancel": "Cancel run", + "reset": "Reset defaults", + "load_sample": "Load 14-day lab pack", + "language": "Language", + "scenario": "Scenario", + "scenario_full": "Full lab (3 accounts, 14 days)", + "scenario_maintenance": "Sunday staging maintenance", + "scenario_exposure": "Public S3 / open security group", + "scenario_iam": "IAM, root, and wildcard trust", + "scenario_logging": "Trail / detector disable", + "scenario_broken": "Broken timestamps (insufficient)", + "threshold": "Review threshold T (score floor)", + "hide_context": "Hide approved-maintenance context", + "actor_filter": "Actor alias contains", + "resource_filter": "Resource alias contains", + "change_filter": "Change type", + "sample_note": "Synthetic CloudTrail management events, seed 16. Account IDs, ARNs, IPs, and access keys are aliased. Before/after appears only when both events are in this export. A finding means needs review, not proven current exposure. This demo never asks for cloud credentials and never changes AWS.", + "live_note": "Live parse, ruleset, role/time baseline, and limited correlation", + "cached_note": "Recorded preview", + "kpi_review": "Needs security review", + "kpi_context_sub": "context changes", + "kpi_coverage": "Parse coverage", + "kpi_incomplete": "Insufficient rows", + "kpi_incomplete_sub": "missing time/event or request body", + "kpi_recall": "Test event recall", + "kpi_precision": "Precision @ 8/day", + "kpi_precision_sub": "held-out daily review capacity", + "kpi_type": "Change-type accuracy", + "kpi_type_sub": "gold eventName mapping", + "kpi_fa": "False alarms / account-day", + "kpi_fa_sub": "security-review without a review label", + "kpi_time": "Analyze time", + "optimized": "AriaCloudTrail", + "baseline": "rule-severity baseline", + "empty": "No live result yet. Load the lab pack or upload CloudTrail JSON/JSONL/CSV, then run.", + "empty_card": "Select a finding to open observed facts, inferred tags, and why it is reviewable. A click shows redacted evidence events.", + "empty_state": "Select a change to open before/after. Both sides stay unknown unless both events exist.", + "status": "Run status", + "upload_hint": "CloudTrail JSON (`Records`), JSONL, or CSV. Required after parse: timestamp and eventName. No AWS keys. Uploaded account IDs, ARNs, IPs, and access keys are aliased.", + "advanced": "Advanced / paste extra events", + "custom_logs": "Extra CloudTrail events (JSON, JSONL, or CSV)", + "logs_file": "CloudTrail file", + "feedback": "Analyst note (not used to retrain)", + "correct": "Correct", + "false_positive": "False positive", + "insufficient": "Insufficient evidence", + "needs_review": "Needs review", + "timeline_plot": "Selected account change timeline (aliased actor vs time)", + "cmp_plot": "Held-out event recall and false alarms by method", + "cal_plot": "Threshold vs alert count and test recall", + "scatter_plot": "Review changes: score versus actor burst", + "graph_plot": "Actor–resource graph for visible findings", + "tab_data": "Data", + "tab_findings": "Findings", + "tab_evidence": "Evidence", + "tab_compare": "Compare", + "tab_method": "Method and limits", + "observed": "Observed fact", + "inferred": "Model inference", + "unknown": "Unknown / missing", + "action": "Suggested action", + "severity": "Severity", + "confidence": "Confidence", + "workflow": "Workflow", + "approval": "Approval status", + "state_card": "Before / after", + "before": "Before", + "after": "After", + "state_note": "Current exposure is unknown unless both events exist in this export. Inventory is not connected.", + "verdict_ready": "Changes ready for review", + "verdict_insufficient_evidence": "Insufficient evidence", + "verdict_invalid_input": "Invalid input", + "reason_counts": "Parsed {valid} of {raw} events ({dropped} dropped); {changes} mapped sensitive changes.", + "reason_alerts": "Security-review={security}, context-only={context} at threshold T={threshold}.", + "reason_eval": "Held-out event recall {recall}; precision@8/day {precision}; false alarms {fa} per account-day.", + "reason_maint": "Approved-maintenance cases counted as security-review: {n}. AriaCloudTrail should keep this at zero.", + "reason_score": "Score ranks changes for a human. It is not P(misconfiguration) and this demo never writes to AWS.", + "method_body": """ +AriaCloudTrail is a laboratory review bench for **exported AWS CloudTrail management events**. + +**What it decides.** Ten change families: IAM privilege grant, credential create, security-group ingress, S3 public-access request, trail logging change, KMS control, root activity, instance exposure, role-trust change, and detector/recorder disable. It does not prove current exposure and does not change cloud configuration. + +**Parse and redaction.** CloudTrail `Records` JSON, JSONL, or CSV. Account IDs, ARNs, IPv4, and `AKIA…` keys are aliased. Cloud credentials are not requested. + +**Before / after.** A previous event on the same account and resource is linked only when it is already in this export. Otherwise the state is **unknown**. One `Put*` or `Delete*` event is a request, not an inventory snapshot. + +**Methods.** `rule_severity` maps `eventName` to a change type. `role_time_baseline` marks unusual hours for human actors. `correlation` adds actor bursts and paired before/after. `maintenance_aware_rules` keeps Sunday 02:00–06:00 UTC staging Terraform changes with ticket `CHG-4411` as context when they are not admin or 0.0.0.0/0. Threshold T is not chosen on the test split. + +**Actors.** IAM users, assumed-role service principals, and root are modeled separately. Service principals are not scored as after-hours humans. + +**Limits.** Synthetic lab, 20k-row / 10MB cap, one heavy analysis at a time. A high score is not malice. This Space never applies IAM, SG, S3, or CloudTrail changes. +""", + }, + "fa": { + "title": "آریاکلودتریل — بازبینی تغییرات حساس ابر", + "subtitle": "تغییرات IAM، ثبت رویداد و مواجهه را در CloudTrail صادرشده ببینید. پنجره نگهداری تأییدشده با پیکربندی زنده یکی نیست.", + "kind": "میز کار Cloud SOC · CPU · رویداد آزمایشگاهی · بدون اعتبارنامه ابر", + "run_sample": "اجرای نمونه", + "cancel": "لغو اجرا", + "reset": "بازگشت به پیش‌فرض", + "load_sample": "بارگذاری بسته ۱۴روزه", + "language": "زبان", + "scenario": "سناریو", + "scenario_full": "آزمایش کامل (۳ حساب، ۱۴ روز)", + "scenario_maintenance": "نگهداری یکشنبه استیجینگ", + "scenario_exposure": "S3 عمومی / گروه امنیتی باز", + "scenario_iam": "IAM، root و اعتمادwildcard", + "scenario_logging": "توقف trail / آشکارساز", + "scenario_broken": "زمان خراب (شواهد ناکافی)", + "threshold": "آستانه بازبینی T", + "hide_context": "پنهان کردن زمینه نگهداری تأییدشده", + "actor_filter": "شناسه بازیگر شامل", + "resource_filter": "شناسه منبع شامل", + "change_filter": "نوع تغییر", + "sample_note": "رویداد ساختگی CloudTrail با بذر ۱۶. شناسه حساب، ARN، نشانی و کلید مستعار می‌شوند. قبل/بعد فقط وقتی هر دو رویداد در همین خروجی باشد نشان داده می‌شود. یافته یعنی نیازمند بررسی است نه مواجهه اثبات‌شده. این دمو اعتبارنامه ابر نمی‌خواهد و AWS را تغییر نمی‌دهد.", + "live_note": "تجزیه زنده، قواعد، خط مبنای نقش/زمان و همبستگی محدود", + "cached_note": "پیش‌نمایش ثبت‌شده", + "kpi_review": "نیازمند بررسی امنیتی", + "kpi_context_sub": "تغییر زمینه‌ای", + "kpi_coverage": "پوشش تجزیه", + "kpi_incomplete": "ردیف ناکافی", + "kpi_incomplete_sub": "زمان/رویداد یا بدنه درخواست خالی", + "kpi_recall": "یادآوری رخداد آزمون", + "kpi_precision": "دقت در ظرفیت ۸/روز", + "kpi_precision_sub": "ظرفیت بازبینی روزانه آزمون", + "kpi_type": "دقت نوع تغییر", + "kpi_type_sub": "نگاشت eventName طلایی", + "kpi_fa": "هشدار کاذب در حساب-روز", + "kpi_fa_sub": "بررسی امنیتی بدون برچسب بررسی", + "kpi_time": "زمان تحلیل", + "optimized": "آریاکلودتریل", + "baseline": "خط مبنای شدت قاعده", + "empty": "هنوز نتیجه زنده‌ای نیست. بسته آزمایشی را بارگذاری یا فایل CloudTrail را آپلود کنید و اجرا کنید.", + "empty_card": "یک یافته را انتخاب کنید تا واقعیت مشاهده‌شده، استنباط و علت بازبینی باز شود.", + "empty_state": "برای قبل/بعد یک تغییر را انتخاب کنید. اگر هر دو رویداد نباشد وضعیت نامعلوم است.", + "status": "وضعیت اجرا", + "upload_hint": "JSON کلودتریل (`Records`)، JSONL یا CSV. پس از تجزیه timestamp و eventName لازم است. کلید AWS خواسته نمی‌شود.", + "advanced": "پیشرفته / چسباندن رویداد اضافه", + "custom_logs": "رویدادهای اضافه CloudTrail", + "logs_file": "فایل CloudTrail", + "feedback": "یادداشت تحلیل‌گر (آموزش مجدد نمی‌شود)", + "correct": "صحیح", + "false_positive": "خطای مثبت", + "insufficient": "شواهد ناکافی", + "needs_review": "نیازمند بررسی", + "timeline_plot": "خط زمانی تغییر حساب منتخب", + "cmp_plot": "یادآوری رخداد آزمون و هشدار کاذب به تفکیک روش", + "cal_plot": "آستانه در برابر تعداد هشدار و یادآوری", + "scatter_plot": "تغییرهای بازبینی: امتیاز در برابر انفجار بازیگر", + "graph_plot": "گراف بازیگر–منبع برای یافته‌های نمایان", + "tab_data": "داده", + "tab_findings": "یافته‌ها", + "tab_evidence": "شواهد", + "tab_compare": "مقایسه", + "tab_method": "روش و محدودیت", + "observed": "واقعیت مشاهده‌شده", + "inferred": "استنباط مدل", + "unknown": "نامعلوم / مفقود", + "action": "اقدام پیشنهادی", + "severity": "شدت", + "confidence": "اطمینان", + "workflow": "وضعیت کار", + "approval": "وضعیت تأیید", + "state_card": "قبل / بعد", + "before": "قبل", + "after": "بعد", + "state_note": "مواجهه فعلی نامعلوم است مگر هر دو رویداد در همین خروجی باشد. موجودی ابر متصل نیست.", + "verdict_ready": "تغییرها آماده بازبینی", + "verdict_insufficient_evidence": "شواهد ناکافی", + "verdict_invalid_input": "ورودی نامعتبر", + "reason_counts": "از {raw} رویداد، {valid} معتبر ماند ({dropped} حذف) و {changes} تغییر حساس نگاشت شد.", + "reason_alerts": "بررسی امنیتی={security}، فقط زمینه={context} در آستانه T={threshold}.", + "reason_eval": "یادآوری رخداد نگه‌داشته {recall}؛ دقت ظرفیت روزانه {precision}؛ هشدار کاذب {fa} در حساب-روز.", + "reason_maint": "موارد نگهداری تأییدشده که بررسی امنیتی شمرده شد: {n}. این عدد باید صفر بماند.", + "reason_score": "امتیاز فقط رتبه‌بندی بازبینی است نه احتمال پیکربندی نادرست، و این دمو به AWS نمی‌نویسد.", + "method_body": """ +آریاکلودتریل یک میز بازبینی آزمایشگاهی برای **رویدادهای مدیریتی CloudTrail صادرشده AWS** است. + +**تصمیم.** ده خانواده تغییر: اعطای دسترسی IAM، ساخت اعتبارنامه، ورود گروه امنیتی، درخواست دسترسی عمومی S3، تغییر ثبت trail، کنترل KMS، فعالیت root، مواجهه نمونه، تغییر اعتماد نقش و خاموشی آشکارساز. مواجهه فعلی را اثبات نمی‌کند و پیکربندی ابر را تغییر نمی‌دهد. + +**تجزیه و پوشاندن.** JSON با `Records`، JSONL یا CSV. شناسه حساب، ARN، IPv4 و کلید `AKIA` مستعار می‌شوند. اعتبارنامه ابر خواسته نمی‌شود. + +**قبل / بعد.** رویداد قبلی همان حساب و منبع فقط وقتی پیوند می‌خورد که در همین خروجی باشد. در غیر این صورت وضعیت **نامعلوم** است. + +**روش‌ها.** شدت قاعده `eventName` را نگاشت می‌کند. خط مبنای نقش/زمان ساعت نامعمول انسان را مشخص می‌کند. همبستگی انفجار بازیگر و جفت قبل/بعد را می‌افزاید. قواعد آگاه از نگهداری، تغییر Terraform استیجینگ یکشنبه با بلیت `CHG-4411` را زمینه نگه می‌دارد مگر Admin یا 0.0.0.0/0 باشد. + +**محدودیت.** آزمایش ساختگی، سقف ۲۰هزار ردیف یا ۱۰ مگابایت. امتیاز بالا را بدخواهی نخوانید. این Space هیچ تغییری روی AWS اعمال نمی‌کند. +""", + }, +} + + +def t(lang: str, key: str) -> str: + pack = TEXTS.get(lang) or TEXTS["en"] + return pack.get(key) or TEXTS["en"].get(key, key) diff --git a/demo/src/mapper.py b/demo/src/mapper.py new file mode 100644 index 0000000000000000000000000000000000000000..0a13c7d21c9401819449f1533e27a772fa5cbe26 --- /dev/null +++ b/demo/src/mapper.py @@ -0,0 +1,219 @@ +from __future__ import annotations + +from typing import Any + +from src.domain import ActorKind, ChangeType +from src.redaction import ( + alias_account, + alias_actor, + alias_ip, + alias_resource, + compact_json, + looks_sensitive, + normalize_id, + redact_text, +) +from src.ruleset import classify_event, flags_from_request + + +def _as_dict(value: Any) -> dict[str, Any]: + return value if isinstance(value, dict) else {} + + +def _identity(row: dict[str, Any]) -> dict[str, Any]: + nested = row.get("userIdentity") + if isinstance(nested, dict): + return nested + return { + "type": row.get("userIdentity.type") or row.get("user_type") or row.get("actor_kind") or "", + "userName": row.get("userIdentity.userName") or row.get("userName") or row.get("user_name") or "", + "arn": row.get("userIdentity.arn") or row.get("arn") or "", + "accountId": row.get("userIdentity.accountId") or row.get("accountId") or row.get("account_id") or "", + "principalId": row.get("userIdentity.principalId") or "", + "invokedBy": row.get("userIdentity.invokedBy") or "", + "sessionContext": row.get("userIdentity.sessionContext") or {}, + } + + +def actor_kind_of(identity: dict[str, Any]) -> str: + raw = normalize_id(identity.get("type")).lower() + if raw == "root": + return ActorKind.ROOT.value + if raw == "awsservice": + return ActorKind.AWS_SERVICE.value + if raw == "assumedrole": + return ActorKind.SERVICE.value + if raw == "iamuser": + return ActorKind.HUMAN.value + hinted = normalize_id(identity.get("actor_kind") or "").lower() + if hinted in {item.value for item in ActorKind}: + return hinted + return ActorKind.UNKNOWN.value + + +def actor_name_of(identity: dict[str, Any]) -> str: + session = _as_dict(identity.get("sessionContext")) + issuer = _as_dict(session.get("sessionIssuer")) + return ( + normalize_id(identity.get("userName")) + or normalize_id(issuer.get("userName")) + or normalize_id(identity.get("invokedBy")) + or normalize_id(str(identity.get("arn") or "").rsplit("/", 1)[-1]) + or "unknown" + ) + + +def actor_role_of(kind: str, name: str) -> str: + lowered = name.lower() + if kind == ActorKind.ROOT.value: + return "root" + if "terraform" in lowered: + return "terraform" + if lowered.startswith("ci") or "github" in lowered: + return "ci" + if "rotator" in lowered or "lambda" in lowered: + return "rotator" + if lowered in {"alice", "dave"} or "admin" in lowered or "security" in lowered: + return "cloud-admin" if lowered == "alice" else ("security" if lowered == "dave" else "operator") + if lowered == "bob" or "dev" in lowered: + return "developer" + if lowered == "carol" or "contract" in lowered: + return "contractor" + if kind == ActorKind.SERVICE.value: + return "service" + if kind == ActorKind.HUMAN.value: + return "human" + return "unknown" + + +def _request(row: dict[str, Any]) -> Any: + if "requestParameters" in row: + return row.get("requestParameters") + if "request_parameters" in row: + return row.get("request_parameters") + return row.get("request") or {} + + +def _response(row: dict[str, Any]) -> Any: + if "responseElements" in row: + return row.get("responseElements") + if "response_elements" in row: + return row.get("response_elements") + return row.get("response") or {} + + +def resource_from(event_name: str, request: Any, row: dict[str, Any]) -> tuple[str, str]: + params = request if isinstance(request, dict) else {} + resources = row.get("resources") if isinstance(row.get("resources"), list) else [] + candidates = [ + ("bucket", params.get("bucketName") or params.get("bucket")), + ("role", params.get("roleName") or params.get("roleArn")), + ("user", params.get("userName") or params.get("userArn")), + ("security-group", params.get("groupId") or params.get("groupName")), + ("trail", params.get("name") or params.get("trailName")), + ("kms-key", params.get("keyId") or params.get("keyArn")), + ("instance", params.get("instanceId")), + ("detector", params.get("detectorId")), + ("config", params.get("configRuleName") or params.get("roleARN")), + ] + for kind, value in candidates: + if value: + return kind, normalize_id(value).split("/")[-1] + if resources: + first = resources[0] if isinstance(resources[0], dict) else {} + arn = normalize_id(first.get("ARN") or first.get("arn")) + return normalize_id(first.get("type") or "resource"), arn.rsplit("/", 1)[-1] or arn + existing = normalize_id(row.get("resource_alias") or row.get("resource")) + if existing: + return normalize_id(row.get("resource_kind") or "resource"), existing + return "account", event_name or "unknown" + + +def user_agent_class(value: Any) -> str: + text = normalize_id(value).lower() + if "console.amazonaws.com" in text or "signin.amazonaws.com" in text: + return "console" + if "terraform" in text: + return "terraform" + if "aws-cli" in text or "awscli" in text: + return "cli" + if "boto" in text or "sdk" in text: + return "sdk" + if not text: + return "unknown" + return "other" + + +def normalize_event(row: dict[str, Any]) -> dict[str, Any]: + identity = _identity(row) + request = _request(row) + response = _response(row) + incomplete = request in (None, "", {}) and not row.get("request_summary") + kind = actor_kind_of(identity) if not row.get("actor_kind") else normalize_id(row.get("actor_kind")) + name = actor_name_of(identity) if not row.get("actor_alias") else normalize_id(row.get("actor_alias")) + account = alias_account( + identity.get("accountId") + or row.get("recipientAccountId") + or row.get("account_alias") + or row.get("account") + ) + event_name = normalize_id(row.get("eventName") or row.get("event_name")) + event_source = normalize_id(row.get("eventSource") or row.get("event_source") or "") + change_type = classify_event(event_name, kind, request) + if row.get("change_type") and normalize_id(row.get("change_type")) in {item.value for item in ChangeType}: + change_type = ChangeType(normalize_id(row.get("change_type"))) + flags = flags_from_request(change_type.value, event_name, request, kind) + resource_kind, resource_name = resource_from(event_name, request, row) + request_text = redact_text(compact_json(request) or normalize_id(row.get("request_summary"))) + response_text = redact_text(compact_json(response) or normalize_id(row.get("response_summary"))) + error_code = normalize_id(row.get("errorCode") or row.get("error_code")) + read_only = row.get("readOnly") if "readOnly" in row else row.get("read_only", False) + if isinstance(read_only, str): + read_only = read_only.lower() in {"1", "true", "yes"} + actor_alias = alias_actor(kind, name, account) + return { + "event_id": normalize_id(row.get("eventID") or row.get("event_id") or row.get("eventId")), + "timestamp": normalize_id(row.get("eventTime") or row.get("timestamp") or row.get("time")), + "account_alias": account, + "actor_alias": actor_alias, + "actor_kind": kind, + "actor_role": normalize_id(row.get("actor_role")) or actor_role_of(kind, name), + "event_source": event_source, + "event_name": event_name, + "change_type": change_type.value, + "region": normalize_id(row.get("awsRegion") or row.get("region") or "us-east-1"), + "resource_alias": alias_resource(resource_kind, resource_name), + "resource_kind": resource_kind, + "read_only": bool(read_only), + "error_code": error_code, + "console": user_agent_class(row.get("userAgent") or row.get("user_agent")) == "console", + "user_agent_class": user_agent_class(row.get("userAgent") or row.get("user_agent")), + "source_ip_alias": alias_ip(row.get("sourceIPAddress") or row.get("source_ip") or row.get("ip")), + "request_summary": request_text[:500], + "response_summary": response_text[:400], + "change_ticket": normalize_id(row.get("change_ticket") or row.get("ticket") or ""), + "lab_event_id": normalize_id(row.get("lab_event_id") or ""), + "lab_family": normalize_id(row.get("lab_family") or ""), + "split": normalize_id(row.get("split") or ""), + "incomplete": bool(incomplete or row.get("incomplete")), + "cidr_open": flags["cidr_open"], + "policy_public": flags["policy_public"], + "admin_policy": flags["admin_policy"], + "logging_off": flags["logging_off"], + "detector_off": flags["detector_off"], + "wildcard_trust": flags["wildcard_trust"], + "hardening": flags["hardening"], + "redacted": looks_sensitive(row), + "raw_redacted": { + "eventName": event_name, + "eventSource": event_source, + "eventTime": normalize_id(row.get("eventTime") or row.get("timestamp")), + "userIdentity": { + "type": identity.get("type"), + "userName": actor_alias, + "accountId": account, + }, + "requestParameters": request_text[:500], + "errorCode": error_code or None, + }, + } diff --git a/demo/src/metrics.py b/demo/src/metrics.py new file mode 100644 index 0000000000000000000000000000000000000000..141eff12573dd9afbafa5e25d79c96d239cd8e9f --- /dev/null +++ b/demo/src/metrics.py @@ -0,0 +1,191 @@ +from __future__ import annotations + +import numpy as np +import pandas as pd + +from src.domain import ( + CONTEXT_FAMILIES, + DAILY_REVIEW_CAPACITY, + REVIEW_FAMILIES, + AlertClass, + Method, + Split, +) +from src.detectors import method_flags, ungrounded_claim_count +from src.schemas import EvaluationRow, Kpis, ThresholdPoint + + +def _event_hits(changes: pd.DataFrame, flagged: pd.Series, gold: pd.DataFrame, split: str) -> tuple[float | None, int]: + if gold is None or gold.empty: + return None, 0 + events = gold.loc[gold["family"].isin(REVIEW_FAMILIES)] + if split != "all": + events = events.loc[events["split"].eq(split)] + if events.empty: + return None, 0 + view = changes.loc[changes["split"].eq(split)] if split != "all" else changes + flags = flagged.loc[view.index] if split != "all" else flagged + detected = set() + for event in events.itertuples(index=False): + overlap = view["gold_event_ids"].fillna("").astype(str).str.contains(event.event_id) + hit = view.loc[overlap & flags] + if not hit.empty: + detected.add(event.event_id) + return round(len(detected) / len(events), 4), len(events) + + +def _account_days(view: pd.DataFrame) -> float: + if view.empty: + return 1.0 + dates = pd.to_datetime(view["timestamp"], utc=True).dt.date + return float(max(1, view.assign(_date=dates).groupby(["account_alias", "_date"]).ngroups)) + + +def _false_alarms(changes: pd.DataFrame, flagged: pd.Series, split: str) -> float | None: + view = changes.loc[changes["split"].eq(split)] if split != "all" else changes + flags = flagged.loc[view.index] if split != "all" else flagged + if view.empty: + return None + fa = view.loc[flags & ~view["gold_family"].isin(REVIEW_FAMILIES)] + return round(len(fa) / _account_days(view), 4) + + +def _precision_at_k(changes: pd.DataFrame, flagged: pd.Series, split: str, k: int = DAILY_REVIEW_CAPACITY) -> float | None: + view = changes.loc[changes["split"].eq(split)].copy() if split != "all" else changes.copy() + if view.empty: + return None + flags = flagged.loc[view.index] + scored = view.loc[flags].copy() + if scored.empty: + return 0.0 + scored = scored.assign(_score=scored.get("score", pd.Series(0.0, index=scored.index)), _date=pd.to_datetime(scored["timestamp"], utc=True).dt.date) + hits = [] + for _, day in scored.groupby("_date"): + top = day.sort_values("_score", ascending=False).head(k) + if top.empty: + continue + hits.append(float(top["gold_family"].isin(REVIEW_FAMILIES).mean())) + if not hits: + return 0.0 + return round(float(np.mean(hits)), 4) + + +def _change_type_accuracy(changes: pd.DataFrame, gold: pd.DataFrame, split: str) -> float | None: + if gold is None or gold.empty or changes.empty: + return None + events = gold.copy() + if split != "all": + events = events.loc[events["split"].eq(split)] + if events.empty or "change_type" not in events.columns: + return None + hits = 0 + n = 0 + for event in events.itertuples(index=False): + expected = str(getattr(event, "change_type", "") or "") + if not expected: + continue + n += 1 + overlap = changes["gold_event_ids"].fillna("").astype(str).str.contains(event.event_id) + if split != "all": + overlap = overlap & changes["split"].eq(split) + view = changes.loc[overlap] + if not view.empty and str(view.iloc[0]["change_type"]) == expected: + hits += 1 + if not n: + return None + return round(hits / n, 4) + + +def _maintenance_as_security(changes: pd.DataFrame, flagged: pd.Series, split: str) -> int: + view = changes.loc[changes["split"].eq(split)] if split != "all" else changes + flags = flagged.loc[view.index] if split != "all" else flagged + if view.empty: + return 0 + return int((view["gold_family"].isin(CONTEXT_FAMILIES) & flags).sum()) + + +def method_rows(changes: pd.DataFrame, gold: pd.DataFrame, threshold: float, parse_coverage: float) -> list[EvaluationRow]: + rows: list[EvaluationRow] = [] + for split in (Split.DEVELOPMENT.value, Split.TEST.value, "all"): + for method in Method: + if method == Method.ARIACLOUDTRAIL: + flagged = changes["alert_class"].eq(AlertClass.SECURITY_REVIEW.value) + else: + flagged = method_flags(changes, method.value, threshold) + recall, n_events = _event_hits(changes, flagged, gold, split) + view = changes if split == "all" else changes.loc[changes["split"].eq(split)] + flags = flagged if split == "all" else flagged.loc[view.index] + if method == Method.ARIACLOUDTRAIL: + n_sec = int(view["alert_class"].eq(AlertClass.SECURITY_REVIEW.value).sum()) if not view.empty else 0 + n_ctx = int(view["alert_class"].eq(AlertClass.CONTEXT.value).sum()) if not view.empty else 0 + maint = int( + ( + view["gold_family"].isin(CONTEXT_FAMILIES) + & view["alert_class"].eq(AlertClass.SECURITY_REVIEW.value) + ).sum() + ) if not view.empty else 0 + else: + n_sec = int(flags.sum()) if not view.empty else 0 + n_ctx = 0 + maint = _maintenance_as_security(changes, flagged, split) + rows.append( + EvaluationRow( + method=method.value, + split=split, + event_recall=recall, + precision_at_k=_precision_at_k(changes, flagged, split), + false_alarms_per_account_day=_false_alarms(changes, flagged, split), + change_type_accuracy=_change_type_accuracy(changes, gold, split), + maintenance_as_security=maint, + ungrounded_claims=ungrounded_claim_count(view) if method == Method.ARIACLOUDTRAIL else 0, + n_security_alerts=n_sec, + n_context_alerts=n_ctx, + n_review_events=n_events, + parse_coverage=parse_coverage, + ) + ) + return rows + + +def calibration_curve(changes: pd.DataFrame, gold: pd.DataFrame, apply_fn) -> list[ThresholdPoint]: + points = [] + for threshold in (1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0): + scored = apply_fn(changes, threshold) + flagged = scored["alert_class"].eq(AlertClass.SECURITY_REVIEW.value) + test = scored.loc[scored["split"].eq(Split.TEST.value)] + flags = flagged.loc[test.index] if not test.empty else flagged + recall, _ = _event_hits(scored, flagged, gold, Split.TEST.value) + points.append( + ThresholdPoint( + threshold=threshold, + n_security_alerts=int(flags.sum()) if not test.empty else int(flagged.sum()), + event_recall=recall, + precision_at_k=_precision_at_k(scored, flagged, Split.TEST.value), + false_alarms_per_account_day=_false_alarms(scored, flagged, Split.TEST.value), + ) + ) + return points + + +def kpis(changes: pd.DataFrame, gold: pd.DataFrame, validation, seconds: float, threshold: float, model_names: str, comparison: list[EvaluationRow]) -> Kpis: + test = next((row for row in comparison if row.method == Method.ARIACLOUDTRAIL.value and row.split == Split.TEST.value), None) + return Kpis( + n_raw=validation.n_raw, + n_valid=validation.n_valid, + n_dropped=validation.n_dropped, + n_changes=int(changes["change_type"].ne("none").sum()) if not changes.empty else 0, + n_security_review=int(changes["alert_class"].eq(AlertClass.SECURITY_REVIEW.value).sum()) if not changes.empty else 0, + n_context=int(changes["alert_class"].eq(AlertClass.CONTEXT.value).sum()) if not changes.empty else 0, + n_incomplete=int(changes["alert_class"].eq(AlertClass.INSUFFICIENT.value).sum()) if not changes.empty else validation.n_dropped, + parse_coverage=round(validation.n_valid / validation.n_raw, 4) if validation.n_raw else 0.0, + event_recall=test.event_recall if test else None, + precision_at_k=test.precision_at_k if test else None, + false_alarms_per_account_day=test.false_alarms_per_account_day if test else None, + change_type_accuracy=test.change_type_accuracy if test else None, + maintenance_as_security=test.maintenance_as_security if test else 0, + ungrounded_claims=test.ungrounded_claims if test else 0, + seconds=round(seconds, 3), + threshold=threshold, + model_names=model_names, + daily_capacity=DAILY_REVIEW_CAPACITY, + ) diff --git a/demo/src/parsers.py b/demo/src/parsers.py new file mode 100644 index 0000000000000000000000000000000000000000..cd7a9ee04cae6466a0593528af6ca7e3ff31f162 --- /dev/null +++ b/demo/src/parsers.py @@ -0,0 +1,127 @@ +from __future__ import annotations + +import csv +import io +import json +from datetime import datetime, timezone +from pathlib import Path +from typing import Any + +from src.domain import MAX_BYTES +from src.schemas import ValidationReport + +TIME_FORMATS = ( + "%Y-%m-%dT%H:%M:%S%z", + "%Y-%m-%dT%H:%M:%SZ", + "%Y-%m-%dT%H:%M:%S", + "%Y-%m-%d %H:%M:%S", +) + + +def _read_text(value: str | Path) -> str: + if isinstance(value, Path) or (isinstance(value, str) and Path(value).exists() and Path(value).is_file()): + return Path(value).read_text(encoding="utf-8") + return value + + +def parse_timestamp(value: Any) -> datetime | None: + text = str(value or "").strip() + if not text: + return None + if text.endswith("Z"): + try: + return datetime.fromisoformat(text.replace("Z", "+00:00")).astimezone(timezone.utc) + except ValueError: + pass + for fmt in TIME_FORMATS: + try: + parsed = datetime.strptime(text, fmt) + if parsed.tzinfo is None: + parsed = parsed.replace(tzinfo=timezone.utc) + return parsed.astimezone(timezone.utc) + except ValueError: + continue + try: + parsed = datetime.fromisoformat(text) + if parsed.tzinfo is None: + parsed = parsed.replace(tzinfo=timezone.utc) + return parsed.astimezone(timezone.utc) + except ValueError: + return None + + +def _looks_jsonl(text: str) -> bool: + objects = 0 + for line in text.splitlines(): + stripped = line.strip() + if not stripped: + continue + if not stripped.startswith("{"): + return False + objects += 1 + if objects >= 2: + return True + return False + + +def _from_payload(payload: Any, report: ValidationReport) -> list[dict[str, Any]]: + if isinstance(payload, dict): + for key in ("Records", "records", "events", "rows", "data", "logins"): + if isinstance(payload.get(key), list): + payload = payload[key] + break + else: + if any(key in payload for key in ("eventName", "event_name", "eventTime", "timestamp")): + return [payload] + report.add("json", "CloudTrail JSON must be a Records array or a list of events.") + return [] + if not isinstance(payload, list): + report.add("json", "CloudTrail JSON must be an array of objects.") + return [] + return [item for item in payload if isinstance(item, dict)] + + +def parse_table(text: str, kind: str = "events") -> tuple[list[dict[str, Any]], ValidationReport]: + report = ValidationReport(ok=True) + if len((text or "").encode("utf-8")) > MAX_BYTES: + report.add("size", f"Upload exceeds {MAX_BYTES} bytes.") + return [], report + raw = (text or "").strip() + if not raw: + return [], report + first = next((line for line in raw.splitlines() if line.strip()), "") + try: + if first.startswith("[") or first.startswith("{"): + if _looks_jsonl(raw): + data: list[dict[str, Any]] = [] + for index, line in enumerate(raw.splitlines()): + line = line.strip() + if not line: + continue + item = json.loads(line) + if not isinstance(item, dict): + report.add("json", "Each JSONL row must be an object.", locator=f"line {index}") + continue + data.append(item) + return data, report + return _from_payload(json.loads(raw), report), report + dialect = csv.Sniffer().sniff(first) if any(token in first for token in ",;\t") else csv.excel + reader = csv.DictReader(io.StringIO(raw), dialect=dialect) + return [dict(row) for row in reader], report + except (json.JSONDecodeError, csv.Error) as exc: + report.add("parse", f"{kind} could not be parsed: {exc}") + return [], report + + +def parse_file(path: str | Path | None, kind: str = "events") -> tuple[list[dict[str, Any]], ValidationReport]: + report = ValidationReport(ok=True) + if not path: + return [], report + target = Path(path) + if not target.exists(): + report.add("missing", f"{kind} file was not found.") + return [], report + if target.stat().st_size > MAX_BYTES: + report.add("size", f"{kind} file exceeds {MAX_BYTES} bytes.") + return [], report + return parse_table(_read_text(target), kind) diff --git a/demo/src/pipeline.py b/demo/src/pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..a7e731066a55b0e56d668a5e0ca4e05d91bf82f0 --- /dev/null +++ b/demo/src/pipeline.py @@ -0,0 +1,316 @@ +from __future__ import annotations + +import time +from pathlib import Path +from typing import Any + +import pandas as pd + +from src.detectors import apply_detectors +from src.domain import ( + CODE_VERSION, + DEFAULT_SEED, + DEFAULT_THRESHOLD, + MIN_VALID_EVENTS, + AlertClass, + ApprovalStatus, + Confidence, + Severity, + StateKnown, + Tag, + Verdict, + Workflow, +) +from src.explain import annotate_finding, decide_verdict, reasons, status_label +from src.features import attach_gold, events_frame +from src.generator import build_lab, filter_lab +from src.metrics import calibration_curve, kpis, method_rows +from src.parsers import parse_file, parse_table +from src.reporting import input_hash, report_payload, write_downloads +from src.schemas import ChangeFinding, PipelineResult +from src.validation import _as_rows, validate_events + +ROOT = Path(__file__).resolve().parents[1] + + +def load_sample(scenario: str = "full", seed: int = DEFAULT_SEED) -> dict[str, Any]: + pack = build_lab(seed) + if scenario and scenario != "full": + pack = filter_lab(pack, scenario) + preview = pack["events"].head(400).copy() + return { + "events": preview, + "full_events": pack["events"], + "gold": pack["gold"], + "n_events": pack["n_events"], + "seed": seed, + "scenario": scenario, + } + + +def load_uploaded(path: str | None) -> tuple[pd.DataFrame, list[str]]: + rows, report = parse_file(path, "events") + messages = [item.message for item in report.issues[:8]] + return pd.DataFrame(rows) if rows else pd.DataFrame(), messages + + +def _split_list(value: Any) -> list[str]: + if isinstance(value, list): + return [str(item) for item in value if item] + return [part for part in str(value or "").split(",") if part] + + +def _to_findings(changes: pd.DataFrame) -> list[ChangeFinding]: + findings: list[ChangeFinding] = [] + if changes.empty: + return findings + for row in changes.to_dict(orient="records"): + evidence = [str(row.get("event_id") or "")] + if row.get("before_event_id"): + evidence.append(str(row.get("before_event_id"))) + delay = row.get("detect_delay_min") + item = ChangeFinding( + finding_id=str(row.get("finding_id") or ""), + event_id=str(row.get("event_id") or ""), + timestamp=str(row.get("timestamp") or ""), + split=str(row.get("split") or ""), + account_alias=str(row.get("account_alias") or ""), + actor_alias=str(row.get("actor_alias") or ""), + actor_kind=str(row.get("actor_kind") or ""), + actor_role=str(row.get("actor_role") or ""), + event_source=str(row.get("event_source") or ""), + event_name=str(row.get("event_name") or ""), + change_type=str(row.get("change_type") or ""), + region=str(row.get("region") or ""), + resource_alias=str(row.get("resource_alias") or ""), + resource_kind=str(row.get("resource_kind") or ""), + score=float(row.get("score") or 0), + tag=Tag(row.get("tag") or Tag.NONE.value), + alert_class=AlertClass(row.get("alert_class") or AlertClass.NONE.value), + severity=Severity(row.get("severity") or Severity.LOW.value), + confidence=Confidence(row.get("confidence") or Confidence.LOW.value), + workflow=Workflow(row.get("workflow") or Workflow.CLEAR.value), + approval_status=ApprovalStatus(row.get("approval_status") or ApprovalStatus.NONE.value), + methods_fired=_split_list(row.get("methods_fired")), + gold_event_ids=_split_list(row.get("gold_event_ids")), + gold_family=str(row.get("gold_family") or ""), + evidence_event_ids=[item for item in evidence if item], + before_state=StateKnown(row.get("before_state") or StateKnown.UNKNOWN.value), + after_state=StateKnown(row.get("after_state") or StateKnown.UNKNOWN.value), + before_event_id=str(row.get("before_event_id") or ""), + after_event_id=str(row.get("after_event_id") or ""), + in_maintenance=bool(row.get("in_maintenance")), + change_ticket=str(row.get("change_ticket") or ""), + request_summary=str(row.get("request_summary") or ""), + cidr_open=bool(row.get("cidr_open")), + policy_public=bool(row.get("policy_public")), + logging_off=bool(row.get("logging_off")), + detector_off=bool(row.get("detector_off")), + wildcard_trust=bool(row.get("wildcard_trust")), + admin_policy=bool(row.get("admin_policy")), + unusual_hour=bool(float(row.get("unusual_hour") or 0) >= 1), + burst_count=int(row.get("burst_count") or 0), + detect_delay_min=None if delay in (None, "") or pd.isna(delay) else float(delay), + incomplete=bool(row.get("incomplete")), + ) + findings.append(annotate_finding(item)) + return findings + + +def run_pipeline( + events: pd.DataFrame | list[dict[str, Any]] | None, + gold: pd.DataFrame | list[dict[str, Any]] | None = None, + *, + threshold: float = DEFAULT_THRESHOLD, + lang: str = "en", + extra_text: str = "", + hide_context: bool = False, + actor_filter: str = "", + resource_filter: str = "", + change_filter: str = "", + seed: int = DEFAULT_SEED, + calibrate: bool = True, +) -> dict[str, Any]: + started = time.perf_counter() + rows = _as_rows(events) + extra_report = None + if extra_text.strip(): + extra_rows, extra_report = parse_table(extra_text, "events") + rows.extend(extra_rows) + validation = validate_events(rows) + if extra_report: + validation.issues.extend(extra_report.issues) + if not extra_report.ok: + validation.ok = False + frame = events_frame(rows) if (validation.ok or validation.n_valid) else pd.DataFrame() + validation.n_valid = int(len(frame)) + validation.n_dropped = max(validation.n_raw - validation.n_valid, validation.n_dropped) + validation.n_redacted = int(frame["redacted"].sum()) if not frame.empty and "redacted" in frame.columns else 0 + gold_frame = gold if isinstance(gold, pd.DataFrame) else pd.DataFrame(gold or []) + verdict = decide_verdict(validation.n_valid, validation) + empty_kpis = kpis(pd.DataFrame(), gold_frame, validation, time.perf_counter() - started, threshold, "none", []) + if verdict == Verdict.INVALID: + return { + "run_id": f"ariact-{input_hash({'error': 'invalid'})}", + "verdict": verdict, + "status_label": status_label(lang, verdict, True), + "kpis": empty_kpis, + "findings": [], + "changes": pd.DataFrame(), + "comparison": [], + "calibration": [], + "reasons": [issue.message for issue in validation.issues[:8]], + "validation": validation, + "report": {"disclaimer": "Invalid input."}, + "seconds": empty_kpis.seconds, + "error": validation.issues[0].message if validation.issues else "Invalid input", + "events": frame, + "code_version": CODE_VERSION, + } + if verdict == Verdict.INSUFFICIENT: + result = { + "run_id": f"ariact-{input_hash({'n': validation.n_valid, 'seed': seed})}", + "verdict": verdict, + "status_label": status_label(lang, verdict, True), + "kpis": empty_kpis, + "findings": [], + "changes": pd.DataFrame(), + "comparison": [], + "calibration": [], + "reasons": [f"Valid events={validation.n_valid}; need at least {MIN_VALID_EVENTS}."], + "validation": validation, + "report": {"disclaimer": "Insufficient evidence after parse and redaction."}, + "seconds": empty_kpis.seconds, + "error": None, + "events": frame, + "code_version": CODE_VERSION, + } + result["report"] = report_payload(result) + return result + + labeled = attach_gold(frame, gold_frame) + scored = apply_detectors(labeled, threshold) + filtered = scored + if hide_context: + filtered = filtered.loc[filtered["alert_class"].ne(AlertClass.CONTEXT.value)].copy() + if actor_filter: + filtered = filtered.loc[filtered["actor_alias"].astype(str).str.contains(actor_filter, regex=False)].copy() + if resource_filter: + filtered = filtered.loc[filtered["resource_alias"].astype(str).str.contains(resource_filter, regex=False)].copy() + if change_filter and change_filter not in {"", "all"}: + filtered = filtered.loc[filtered["change_type"].astype(str).eq(change_filter)].copy() + alert_view = filtered.loc[filtered["alert_class"].ne(AlertClass.NONE.value)] + if not alert_view.empty: + alert_view = alert_view.sort_values(["alert_class", "severity", "timestamp"], ascending=[True, False, True]) + findings = _to_findings(alert_view) + comparison = method_rows(scored, gold_frame, threshold, round(validation.n_valid / max(validation.n_raw, 1), 4)) + calibration = calibration_curve(labeled, gold_frame, apply_detectors) if calibrate else [] + seconds = time.perf_counter() - started + digest = input_hash( + { + "n": validation.n_valid, + "threshold": threshold, + "dropped": validation.n_dropped, + "version": CODE_VERSION, + "seed": seed, + } + ) + payload = { + "run_id": f"ariact-{digest}", + "verdict": Verdict.READY, + "status_label": status_label(lang, Verdict.READY, True), + "kpis": kpis(filtered, gold_frame, validation, seconds, threshold, "rules+baseline+correlation", comparison), + "findings": findings, + "changes": filtered, + "changes_base": labeled, + "comparison": comparison, + "calibration": calibration, + "validation": validation, + "seconds": seconds, + "error": None, + "events": frame, + "code_version": CODE_VERSION, + "gold": gold_frame, + "threshold": threshold, + "parse_coverage": round(validation.n_valid / max(validation.n_raw, 1), 4), + } + payload["report"] = report_payload(payload) + modeled = PipelineResult( + run_id=payload["run_id"], + verdict=Verdict.READY, + status_label=payload["status_label"], + kpis=payload["kpis"], + findings=findings, + comparison=comparison, + calibration=calibration, + reasons=[], + validation=validation, + report=payload["report"], + seconds=seconds, + code_version=CODE_VERSION, + ) + payload["reasons"] = reasons(lang, modeled) + return payload + + +def findings_table(result: dict[str, Any]) -> pd.DataFrame: + rows = [] + for item in result.get("findings") or []: + rows.append( + { + "finding_id": item.finding_id, + "timestamp": item.timestamp, + "account_alias": item.account_alias, + "actor_alias": item.actor_alias, + "event_name": item.event_name, + "change_type": item.change_type, + "resource_alias": item.resource_alias, + "tag": item.tag.value, + "alert_class": item.alert_class.value, + "severity": item.severity.value, + "approval_status": item.approval_status.value, + "workflow": item.workflow.value, + "before_state": item.before_state.value, + "after_state": item.after_state.value, + "gold_family": item.gold_family, + "score": item.score, + } + ) + return pd.DataFrame(rows) + + +def evidence_table(result: dict[str, Any], finding_id: str) -> pd.DataFrame: + events = result.get("events") + findings = {item.finding_id: item for item in result.get("findings") or []} + item = findings.get(finding_id) + if item is None or events is None or getattr(events, "empty", True): + return pd.DataFrame() + frame = events.copy() + ids = set(item.evidence_event_ids) + if "event_id" in frame.columns and ids: + view = frame.loc[frame["event_id"].isin(ids)] + if not view.empty: + cols = [ + col + for col in ( + "event_id", + "timestamp", + "account_alias", + "actor_alias", + "actor_kind", + "event_name", + "change_type", + "resource_alias", + "request_summary", + "before_state", + "after_state", + "approval_status", + ) + if col in view.columns + ] + return view[cols] + return pd.DataFrame() + + +def result_to_downloads(result: dict[str, Any], folder: Path) -> dict[str, str]: + return write_downloads(result, folder) diff --git a/demo/src/plots.py b/demo/src/plots.py new file mode 100644 index 0000000000000000000000000000000000000000..02ace43f862892632abc8b0fcd1ae14f704b2489 --- /dev/null +++ b/demo/src/plots.py @@ -0,0 +1,166 @@ +from __future__ import annotations + +from typing import Any + +import pandas as pd +import plotly.graph_objects as go +from plotly.subplots import make_subplots + +from src.domain import AlertClass +from src.i18n import t +from src.schemas import ChangeFinding, Kpis, ThresholdPoint + + +def empty_plot(title: str = "—") -> go.Figure: + fig = go.Figure() + fig.update_layout(template="plotly_white", height=380, title=title) + return fig + + +def kpi_html(kpis: dict[str, Any] | Kpis | None, baseline: dict[str, Any] | None, lang: str) -> str: + if kpis is None: + return "
" + data = kpis.model_dump() if isinstance(kpis, Kpis) else kpis + base = baseline or {} + + def card(label: str, value: str, sub: str) -> str: + return ( + f"

{label}

" + f"

{value}

{sub}

" + ) + + recall = data.get("event_recall") + precision = data.get("precision_at_k") + fa = data.get("false_alarms_per_account_day") + accuracy = data.get("change_type_accuracy") + return ( + "
" + + card(t(lang, "kpi_review"), str(data.get("n_security_review") or 0), f"{data.get('n_context') or 0} {t(lang, 'kpi_context_sub')}") + + card(t(lang, "kpi_coverage"), f"{100 * (data.get('parse_coverage') or 0):.0f}%", f"{data.get('n_valid') or 0}/{data.get('n_raw') or 0}") + + card(t(lang, "kpi_incomplete"), str(data.get("n_incomplete") or 0), t(lang, "kpi_incomplete_sub")) + + card(t(lang, "kpi_recall"), "—" if recall is None else f"{100 * recall:.0f}%", f"{t(lang, 'baseline')}: {base.get('event_recall', '—')}") + + card(t(lang, "kpi_precision"), "—" if precision is None else f"{100 * precision:.0f}%", t(lang, "kpi_precision_sub")) + + card(t(lang, "kpi_type"), "—" if accuracy is None else f"{100 * accuracy:.0f}%", t(lang, "kpi_type_sub")) + + card(t(lang, "kpi_fa"), "—" if fa is None else f"{fa:.3f}", t(lang, "kpi_fa_sub")) + + card(t(lang, "kpi_time"), f"{data.get('seconds') or 0:.1f}s", f"T={data.get('threshold') or 0}") + + "
" + ) + + +def timeline_figure(events: pd.DataFrame | None, account: str, title: str) -> go.Figure: + if events is None or getattr(events, "empty", True): + return empty_plot(title) + frame = events.copy() + if account: + frame = frame.loc[frame["account_alias"].astype(str).eq(str(account))] + frame = frame.loc[frame["change_type"].astype(str).ne("none")] + if frame.empty: + return empty_plot(title) + frame["ts"] = pd.to_datetime(frame["timestamp"], utc=True) + colors = frame["alert_class"].map( + {"security_review": "#b45309", "context": "#4338ca", "insufficient_evidence": "#64748b", "none": "#94a3b8"} + ).fillna("#334155") + fig = go.Figure( + go.Scatter( + x=frame["ts"], + y=frame["actor_alias"], + mode="markers", + marker=dict(color=colors, size=11), + text=[ + f"{row.event_id} {row.event_name} {row.resource_alias} {row.alert_class}" + for row in frame.itertuples(index=False) + ], + hoverinfo="text", + ) + ) + fig.update_layout(template="plotly_white", height=420, title=f"{title} · {account or 'all accounts'}") + return fig + + +def compare_figure(rows: list[dict[str, Any]], title: str) -> go.Figure: + frame = pd.DataFrame(rows) + if frame.empty: + return empty_plot(title) + view = frame.loc[frame["split"] == "test"] if "test" in set(frame.get("split", [])) else frame + fig = go.Figure(go.Bar(x=view["method"], y=view["event_recall"].fillna(0), marker_color="#0369a1", name="event recall")) + fig.add_trace(go.Bar(x=view["method"], y=view["false_alarms_per_account_day"].fillna(0), name="FA / account-day", marker_color="#94a3b8")) + fig.update_layout(template="plotly_white", height=380, title=title, barmode="group") + return fig + + +def calibration_figure(points: list[ThresholdPoint] | list[dict[str, Any]], title: str) -> go.Figure: + if not points: + return empty_plot(title) + frame = pd.DataFrame([item.model_dump() if hasattr(item, "model_dump") else item for item in points]) + fig = make_subplots(specs=[[{"secondary_y": True}]]) + fig.add_trace(go.Scatter(x=frame["threshold"], y=frame["n_security_alerts"], mode="lines+markers", name="alerts"), secondary_y=False) + fig.add_trace(go.Scatter(x=frame["threshold"], y=frame["event_recall"].fillna(0), mode="lines+markers", name="test recall"), secondary_y=True) + fig.update_layout(template="plotly_white", height=360, title=title) + fig.update_yaxes(title_text="security-review alerts", secondary_y=False) + fig.update_yaxes(title_text="event recall", secondary_y=True, range=[0, 1]) + return fig + + +def finding_scatter(rows: list[ChangeFinding], title: str) -> go.Figure: + if not rows: + return empty_plot(title) + colors = [] + for item in rows: + if item.alert_class == AlertClass.CONTEXT: + colors.append("#0369a1") + elif item.alert_class == AlertClass.INSUFFICIENT: + colors.append("#64748b") + else: + colors.append("#b45309") + fig = go.Figure( + go.Scatter( + x=[item.score for item in rows], + y=[item.burst_count for item in rows], + mode="markers", + marker=dict(color=colors, size=11), + text=[f"{item.finding_id} {item.change_type} {item.actor_alias}" for item in rows], + hoverinfo="text", + ) + ) + fig.update_layout(template="plotly_white", height=380, title=title, xaxis_title="score", yaxis_title="actor burst") + return fig + + +def graph_figure(rows: list[ChangeFinding], title: str) -> go.Figure: + if not rows: + return empty_plot(title) + try: + import networkx as nx + except Exception: + return empty_plot(title) + graph = nx.Graph() + for item in rows[:24]: + graph.add_node(item.actor_alias, kind="actor") + graph.add_node(item.resource_alias, kind="resource") + graph.add_edge(item.actor_alias, item.resource_alias) + if graph.number_of_nodes() == 0: + return empty_plot(title) + layout = nx.spring_layout(graph, seed=16) + edge_x, edge_y = [], [] + for src, dst in graph.edges(): + x0, y0 = layout[src] + x1, y1 = layout[dst] + edge_x += [x0, x1, None] + edge_y += [y0, y1, None] + node_x = [layout[node][0] for node in graph.nodes()] + node_y = [layout[node][1] for node in graph.nodes()] + fig = go.Figure() + fig.add_trace(go.Scatter(x=edge_x, y=edge_y, mode="lines", line=dict(color="#cbd5e1", width=1), hoverinfo="none")) + fig.add_trace( + go.Scatter( + x=node_x, + y=node_y, + mode="markers+text", + text=list(graph.nodes()), + textposition="top center", + marker=dict(size=12, color="#0369a1"), + hoverinfo="text", + ) + ) + fig.update_layout(template="plotly_white", height=380, title=title, xaxis=dict(visible=False), yaxis=dict(visible=False)) + return fig diff --git a/demo/src/redaction.py b/demo/src/redaction.py new file mode 100644 index 0000000000000000000000000000000000000000..72983ffc458644b89b3a42b4985d4365481a7a6f --- /dev/null +++ b/demo/src/redaction.py @@ -0,0 +1,124 @@ +from __future__ import annotations + +import hashlib +import json +import re +from typing import Any + +from src.domain import ACCOUNT_ALIASES + +EMAIL_RE = re.compile(r"(?i)\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b") +JWT_RE = re.compile(r"\beyJ[A-Za-z0-9_-]+\.[A-Za-z0-9._-]+\.[A-Za-z0-9._-]+\b") +IPV4_RE = re.compile(r"\b(?:\d{1,3}\.){3}\d{1,3}\b") +ACCOUNT_RE = re.compile(r"\b(?:111111111111|222222222222|333333333333|\d{12})\b") +ARN_RE = re.compile(r"arn:aws:[a-z0-9-]+:[a-z0-9-]*:\d{12}:[^\s\"']+") +ACCESS_KEY_RE = re.compile(r"\bAKIA[0-9A-Z]{16}\b") +SECRET_KEY_RE = re.compile(r"(?i)\b(?:aws)?secret(?:access)?key\b") +TOKENISH_RE = re.compile(r"(?i)(password|passwd|secret|token|authorization|cookie|session|aws_secret)") + + +def normalize_id(value: Any) -> str: + return str(value or "").strip() + + +def _hash8(value: str) -> str: + return hashlib.sha256(value.encode("utf-8")).hexdigest()[:8] + + +def alias_account(value: Any) -> str: + text = normalize_id(value) + if not text: + return "acct_unknown" + if text in ACCOUNT_ALIASES: + return ACCOUNT_ALIASES[text] + if text.startswith("acct_"): + return text + if text.isdigit() and len(text) == 12: + return f"acct_{_hash8(text)}" + return ACCOUNT_ALIASES.get(text, f"acct_{_hash8(text)}") + + +def alias_ip(value: Any) -> str: + text = normalize_id(value) + if not text: + return "net_unknown" + if text.startswith("net_"): + return text + return f"net_{_hash8(text)}" + + +def alias_actor(kind: str, name: str, account_alias: str) -> str: + raw = normalize_id(name) + if not raw: + return f"{kind or 'actor'}_unknown" + if raw.startswith(("usr_", "role_", "root_", "svc_")): + return raw + if EMAIL_RE.search(raw) or IPV4_RE.search(raw): + return f"usr_uploaded_{_hash8(raw)}" + if kind == "root": + return "root_lab" + if kind in {"service", "aws_service"}: + return f"role_{raw}" + return f"usr_{raw}" + + +def alias_resource(kind: str, name: str) -> str: + raw = normalize_id(name) + if not raw: + return f"{kind or 'res'}_unknown" + if raw.startswith(("bucket_", "role_", "user_", "sg_", "trail_", "key_", "eni_", "i-", "res_")): + return raw + prefix = { + "bucket": "bucket", + "role": "role", + "user": "user", + "security-group": "sg", + "trail": "trail", + "kms-key": "key", + "instance": "i", + "detector": "det", + "config": "cfg", + }.get(kind, "res") + return f"{prefix}_{raw}" if prefix != "i" else raw + + +def redact_text(value: Any) -> str: + text = normalize_id(value) + text = JWT_RE.sub("[REDACTED_TOKEN]", text) + text = ACCESS_KEY_RE.sub("AKIA****************", text) + text = EMAIL_RE.sub("[REDACTED_EMAIL]", text) + text = ARN_RE.sub(lambda match: _alias_arn(match.group(0)), text) + text = ACCOUNT_RE.sub(lambda match: alias_account(match.group(0)), text) + text = IPV4_RE.sub(lambda match: alias_ip(match.group(0)), text) + return text + + +def _alias_arn(arn: str) -> str: + parts = arn.split(":") + if len(parts) < 6: + return "arn:aws:redacted" + parts[4] = alias_account(parts[4]) + return ":".join(parts) + + +def compact_json(value: Any) -> str: + if value is None or value == "": + return "" + if isinstance(value, (dict, list)): + try: + return json.dumps(value, sort_keys=True, ensure_ascii=False, separators=(",", ":")) + except TypeError: + return str(value) + return normalize_id(value) + + +def looks_sensitive(row: dict[str, Any]) -> bool: + blob = " ".join(str(item) for item in row.values() if item is not None) + return bool( + EMAIL_RE.search(blob) + or ACCESS_KEY_RE.search(blob) + or ACCOUNT_RE.search(blob) + or IPV4_RE.search(blob) + or TOKENISH_RE.search(blob) + or SECRET_KEY_RE.search(blob) + ) diff --git a/demo/src/reporting.py b/demo/src/reporting.py new file mode 100644 index 0000000000000000000000000000000000000000..a617ba4f9dde980aae7327f3c6da4ec36d2d811f --- /dev/null +++ b/demo/src/reporting.py @@ -0,0 +1,79 @@ +from __future__ import annotations + +import hashlib +import json +from pathlib import Path +from typing import Any + +import pandas as pd + +from src.domain import CODE_VERSION, PRODUCT, SCHEMA_ID, SNAPSHOT_ID +from src.schemas import ChangeFinding + + +def input_hash(payload: dict[str, Any]) -> str: + raw = json.dumps(payload, sort_keys=True, ensure_ascii=False, default=str) + return hashlib.sha256(raw.encode("utf-8")).hexdigest()[:16] + + +def findings_frame(rows: list[ChangeFinding]) -> pd.DataFrame: + records = [] + for item in rows: + data = item.model_dump() + data["observed"] = " | ".join(item.observed) + data["inferred"] = " | ".join(item.inferred) + data["gold_event_ids"] = ",".join(item.gold_event_ids) + data["evidence_event_ids"] = ",".join(item.evidence_event_ids) + data["methods_fired"] = ",".join(item.methods_fired) + data["tag"] = item.tag.value + data["alert_class"] = item.alert_class.value + data["severity"] = item.severity.value + data["confidence"] = item.confidence.value + data["workflow"] = item.workflow.value + data["approval_status"] = item.approval_status.value + data["before_state"] = item.before_state.value + data["after_state"] = item.after_state.value + records.append(data) + return pd.DataFrame(records) + + +def report_payload(result: dict[str, Any]) -> dict[str, Any]: + return { + "product": PRODUCT, + "code_version": CODE_VERSION, + "schema_id": SCHEMA_ID, + "snapshot_id": SNAPSHOT_ID, + "run_id": result["run_id"], + "verdict": result["verdict"].value if hasattr(result["verdict"], "value") else result["verdict"], + "kpis": result["kpis"].model_dump() if hasattr(result["kpis"], "model_dump") else result["kpis"], + "comparison": [row.model_dump() if hasattr(row, "model_dump") else row for row in result.get("comparison") or []], + "calibration": [row.model_dump() if hasattr(row, "model_dump") else row for row in result.get("calibration") or []], + "input_hash": result["run_id"].split("-")[-1], + "live": True, + "disclaimer": ( + "A finding is a review ranking, not proof of current cloud exposure. " + "Before/after is shown only when both events exist in this export. " + "This demo never requests cloud credentials and never changes configuration. " + "Severity is not approval status. Maintenance windows stay context." + ), + } + + +def write_downloads(result: dict[str, Any], folder: Path) -> dict[str, str]: + folder.mkdir(parents=True, exist_ok=True) + run_id = result["run_id"] + files = { + "findings": folder / f"{run_id}_findings.csv", + "comparison": folder / f"{run_id}_comparison.csv", + "calibration": folder / f"{run_id}_calibration.csv", + "report": folder / f"{run_id}_report.json", + } + findings_frame(result["findings"]).to_csv(files["findings"], index=False) + pd.DataFrame([row.model_dump() if hasattr(row, "model_dump") else row for row in result.get("comparison") or []]).to_csv( + files["comparison"], index=False + ) + pd.DataFrame([row.model_dump() if hasattr(row, "model_dump") else row for row in result.get("calibration") or []]).to_csv( + files["calibration"], index=False + ) + files["report"].write_text(json.dumps(result["report"], indent=2, ensure_ascii=False, default=str), encoding="utf-8") + return {key: str(path) for key, path in files.items()} diff --git a/demo/src/ruleset.py b/demo/src/ruleset.py new file mode 100644 index 0000000000000000000000000000000000000000..8c67765c90783889858dca90c9812934df4e6505 --- /dev/null +++ b/demo/src/ruleset.py @@ -0,0 +1,153 @@ +from __future__ import annotations + +from typing import Any + +from src.domain import ( + ADMIN_POLICY_MARKERS, + MAINTENANCE_ACCOUNT, + MAINTENANCE_ACTOR, + MAINTENANCE_ALLOWED_TYPES, + MAINTENANCE_TICKET, + PUBLIC_MARKERS, + ChangeType, + Severity, +) + +EVENT_MAP: dict[str, ChangeType] = { + "AttachUserPolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "AttachRolePolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "AttachGroupPolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "PutUserPolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "PutRolePolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "PutGroupPolicy": ChangeType.IAM_PRIVILEGE_GRANT, + "CreateAccessKey": ChangeType.IAM_CREDENTIAL_CREATE, + "CreateLoginProfile": ChangeType.IAM_CREDENTIAL_CREATE, + "CreateUser": ChangeType.IAM_CREDENTIAL_CREATE, + "AuthorizeSecurityGroupIngress": ChangeType.SECURITY_GROUP_INGRESS, + "PutBucketAcl": ChangeType.S3_PUBLIC_EXPOSURE, + "PutBucketPolicy": ChangeType.S3_PUBLIC_EXPOSURE, + "DeletePublicAccessBlock": ChangeType.S3_PUBLIC_EXPOSURE, + "PutPublicAccessBlock": ChangeType.S3_PUBLIC_EXPOSURE, + "StopLogging": ChangeType.TRAIL_LOGGING_CHANGE, + "DeleteTrail": ChangeType.TRAIL_LOGGING_CHANGE, + "UpdateTrail": ChangeType.TRAIL_LOGGING_CHANGE, + "StartLogging": ChangeType.TRAIL_LOGGING_CHANGE, + "PutKeyPolicy": ChangeType.KMS_CONTROL_CHANGE, + "DisableKey": ChangeType.KMS_CONTROL_CHANGE, + "ScheduleKeyDeletion": ChangeType.KMS_CONTROL_CHANGE, + "AssociateAddress": ChangeType.INSTANCE_EXPOSURE, + "ModifyInstanceAttribute": ChangeType.INSTANCE_EXPOSURE, + "UpdateAssumeRolePolicy": ChangeType.ROLE_TRUST_CHANGE, + "UpdateDetector": ChangeType.DETECTOR_DISABLE, + "DeleteDetector": ChangeType.DETECTOR_DISABLE, + "StopConfigurationRecorder": ChangeType.DETECTOR_DISABLE, + "DeleteConfigRule": ChangeType.DETECTOR_DISABLE, + "ConsoleLogin": ChangeType.ROOT_ACTIVITY, +} + +HARDENING_EVENTS = {"StartLogging"} +RESTRICT_PUBLIC_KEYS = ("restrictpublicbuckets", "blockpublicacls", "ignorepublicacls", "blockpublicpolicy") + + +def _lower_blob(params: Any) -> str: + if params is None: + return "" + if isinstance(params, dict): + parts = [] + for key, value in params.items(): + parts.append(str(key).lower()) + parts.append(_lower_blob(value)) + return " ".join(parts) + if isinstance(params, list): + return " ".join(_lower_blob(item) for item in params) + return str(params).lower() + + +def classify_event(event_name: str, actor_kind: str = "", request: Any = None) -> ChangeType: + name = str(event_name or "").strip() + mapped = EVENT_MAP.get(name, ChangeType.NONE) + if actor_kind == "root" and name in {"ConsoleLogin", "CreateAccessKey", "CreateLoginProfile", "CreateUser"}: + return ChangeType.ROOT_ACTIVITY + if name == "ConsoleLogin" and actor_kind != "root": + return ChangeType.NONE + if name == "PutPublicAccessBlock" and _is_restrict_public(request): + return ChangeType.NONE + if name == "StartLogging": + return ChangeType.TRAIL_LOGGING_CHANGE + return mapped + + +def _is_restrict_public(request: Any) -> bool: + blob = _lower_blob(request) + if not blob: + return False + truths = sum(f"{key} true" in blob or f"{key}\":true" in blob or f"{key}=true" in blob for key in RESTRICT_PUBLIC_KEYS) + return truths >= 1 + + +def flags_from_request(change_type: str, event_name: str, request: Any, actor_kind: str) -> dict[str, bool]: + blob = _lower_blob(request) + cidr_open = "0.0.0.0/0" in blob or "::/0" in blob + policy_public = any(marker in blob for marker in PUBLIC_MARKERS) or "allusers" in blob + if change_type == ChangeType.S3_PUBLIC_EXPOSURE.value and event_name == "DeletePublicAccessBlock": + policy_public = True + admin_policy = any(marker in blob for marker in ADMIN_POLICY_MARKERS) + logging_off = event_name in {"StopLogging", "DeleteTrail"} or ( + event_name == "UpdateTrail" and ("islogging false" in blob or "islogging\":false" in blob) + ) + detector_off = event_name in {"DeleteDetector", "StopConfigurationRecorder", "DeleteConfigRule"} or ( + event_name == "UpdateDetector" and ("enable false" in blob or "enable\":false" in blob) + ) + wildcard_trust = change_type == ChangeType.ROLE_TRUST_CHANGE.value and ( + '"principal":"*"' in blob.replace(" ", "") or "principal *" in blob or '"aws":"*"' in blob.replace(" ", "") + ) + return { + "cidr_open": cidr_open, + "policy_public": policy_public, + "admin_policy": admin_policy, + "logging_off": logging_off, + "detector_off": detector_off, + "wildcard_trust": wildcard_trust, + "is_root": actor_kind == "root", + "hardening": event_name in HARDENING_EVENTS or _is_restrict_public(request), + } + + +def severity_for(change_type: str, flags: dict[str, bool]) -> Severity: + if flags.get("is_root") or flags.get("logging_off") or flags.get("detector_off"): + return Severity.HIGH + if flags.get("policy_public") or flags.get("cidr_open") or flags.get("wildcard_trust") or flags.get("admin_policy"): + return Severity.HIGH + if change_type in { + ChangeType.IAM_PRIVILEGE_GRANT.value, + ChangeType.IAM_CREDENTIAL_CREATE.value, + ChangeType.KMS_CONTROL_CHANGE.value, + ChangeType.INSTANCE_EXPOSURE.value, + ChangeType.TRAIL_LOGGING_CHANGE.value, + ChangeType.S3_PUBLIC_EXPOSURE.value, + ChangeType.ROLE_TRUST_CHANGE.value, + ChangeType.DETECTOR_DISABLE.value, + ChangeType.ROOT_ACTIVITY.value, + }: + if flags.get("hardening"): + return Severity.LOW + return Severity.MEDIUM + if change_type == ChangeType.SECURITY_GROUP_INGRESS.value: + return Severity.LOW + return Severity.LOW + + +def maintenance_match(account_alias: str, actor_alias: str, change_type: str, flags: dict[str, bool], ticket: str, in_window: bool) -> bool: + if not in_window: + return False + if account_alias != MAINTENANCE_ACCOUNT: + return False + if actor_alias != MAINTENANCE_ACTOR: + return False + if ticket and ticket != MAINTENANCE_TICKET: + return False + if change_type not in MAINTENANCE_ALLOWED_TYPES: + return False + if flags.get("admin_policy") or flags.get("cidr_open") or flags.get("policy_public") or flags.get("is_root"): + return False + return True diff --git a/demo/src/schemas.py b/demo/src/schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..487f6af04985e9d4a98999eda4155ce94b4354cf --- /dev/null +++ b/demo/src/schemas.py @@ -0,0 +1,168 @@ +from __future__ import annotations + +from typing import Any + +from pydantic import BaseModel, Field + +from src.domain import ( + AlertClass, + ApprovalStatus, + ChangeType, + ClaimKind, + Confidence, + Severity, + StateKnown, + Tag, + Verdict, + Workflow, +) + + +class Issue(BaseModel): + code: str + message: str + locator: str | None = None + severity: str = "error" + + +class ValidationReport(BaseModel): + ok: bool + issues: list[Issue] = Field(default_factory=list) + n_raw: int = 0 + n_valid: int = 0 + n_dropped: int = 0 + n_redacted: int = 0 + + def add(self, code: str, message: str, locator: str | None = None, severity: str = "error") -> None: + self.issues.append(Issue(code=code, message=message, locator=locator, severity=severity)) + if severity == "error": + self.ok = False + + +class LabEvent(BaseModel): + event_id: str + account_alias: str = "" + actor_alias: str = "" + start: str + end: str + family: str + split: str + change_type: str = ChangeType.NONE.value + note: str = "" + + +class Claim(BaseModel): + kind: ClaimKind + text: str + locator: str + field: str = "" + + +class ChangeFinding(BaseModel): + finding_id: str + event_id: str + timestamp: str + split: str + account_alias: str + actor_alias: str + actor_kind: str + actor_role: str + event_source: str + event_name: str + change_type: str + region: str + resource_alias: str + resource_kind: str + score: float = 0.0 + tag: Tag = Tag.NONE + alert_class: AlertClass = AlertClass.NONE + severity: Severity = Severity.LOW + confidence: Confidence = Confidence.LOW + workflow: Workflow = Workflow.CLEAR + approval_status: ApprovalStatus = ApprovalStatus.NONE + methods_fired: list[str] = Field(default_factory=list) + gold_event_ids: list[str] = Field(default_factory=list) + gold_family: str = "" + evidence_event_ids: list[str] = Field(default_factory=list) + before_state: StateKnown = StateKnown.UNKNOWN + after_state: StateKnown = StateKnown.UNKNOWN + before_event_id: str = "" + after_event_id: str = "" + in_maintenance: bool = False + change_ticket: str = "" + request_summary: str = "" + cidr_open: bool = False + policy_public: bool = False + logging_off: bool = False + detector_off: bool = False + wildcard_trust: bool = False + admin_policy: bool = False + unusual_hour: bool = False + burst_count: int = 0 + observed: list[str] = Field(default_factory=list) + inferred: list[str] = Field(default_factory=list) + action: str = "" + claims: list[Claim] = Field(default_factory=list) + detect_delay_min: float | None = None + incomplete: bool = False + + +class EvaluationRow(BaseModel): + method: str + split: str + event_recall: float | None = None + precision_at_k: float | None = None + false_alarms_per_account_day: float | None = None + change_type_accuracy: float | None = None + maintenance_as_security: int = 0 + ungrounded_claims: int = 0 + n_security_alerts: int = 0 + n_context_alerts: int = 0 + n_review_events: int = 0 + parse_coverage: float | None = None + + +class Kpis(BaseModel): + n_raw: int = 0 + n_valid: int = 0 + n_dropped: int = 0 + n_changes: int = 0 + n_security_review: int = 0 + n_context: int = 0 + n_incomplete: int = 0 + parse_coverage: float = 0.0 + event_recall: float | None = None + precision_at_k: float | None = None + false_alarms_per_account_day: float | None = None + change_type_accuracy: float | None = None + maintenance_as_security: int = 0 + ungrounded_claims: int = 0 + seconds: float = 0.0 + threshold: float = 3.0 + model_names: str = "rules+baseline+correlation" + daily_capacity: int = 8 + + +class ThresholdPoint(BaseModel): + threshold: float + n_security_alerts: int + event_recall: float | None = None + precision_at_k: float | None = None + false_alarms_per_account_day: float | None = None + + +class PipelineResult(BaseModel): + run_id: str + verdict: Verdict + status_label: str + kpis: Kpis + findings: list[ChangeFinding] = Field(default_factory=list) + comparison: list[EvaluationRow] = Field(default_factory=list) + calibration: list[ThresholdPoint] = Field(default_factory=list) + reasons: list[str] = Field(default_factory=list) + validation: ValidationReport + report: dict[str, Any] = Field(default_factory=dict) + seconds: float = 0.0 + error: str | None = None + code_version: str = "" + live: bool = True diff --git a/demo/src/ui.py b/demo/src/ui.py new file mode 100644 index 0000000000000000000000000000000000000000..30845815683cac1b87d5fa7986132a1d37d1cdc6 --- /dev/null +++ b/demo/src/ui.py @@ -0,0 +1,343 @@ +from __future__ import annotations + +import json +import tempfile +from pathlib import Path +from zipfile import ZipFile + +import gradio as gr +import pandas as pd +import plotly.graph_objects as go + +from src.domain import DEFAULT_THRESHOLD, SENSITIVE_TYPES +from src.explain import finding_markdown, state_markdown +from src.i18n import TEXTS, t +from src.pipeline import evidence_table, findings_table, load_sample, load_uploaded, result_to_downloads, run_pipeline +from src.plots import ( + calibration_figure, + compare_figure, + empty_plot, + finding_scatter, + graph_figure, + kpi_html, + timeline_figure, +) + +ROOT = Path(__file__).resolve().parents[1] +SAMPLE_PREVIEW = ROOT / "examples" / "sample_preview.json" +CHANGE_CHOICES = ["all", *sorted(SENSITIVE_TYPES)] +CSS = """ +.gradio-container {max-width: 1320px !important; margin: 0 auto;} +.dark .gradio-container {color: var(--body-text-color);} +.aria-header h1 {margin-bottom: 0.2rem;} +.aria-header p {opacity: 0.85;} +.kpi-grid {display:grid; grid-template-columns: repeat(auto-fit, minmax(170px, 1fr)); gap: 12px;} +.kpi-card {background: linear-gradient(180deg, #e0f2fe, #ffffff); border: 1px solid #7dd3fc; border-radius: 16px; padding: 14px 16px;} +.kpi-label {font-size: 0.8rem; color: #075985; margin: 0;} +.kpi-value {font-size: 1.45rem; font-weight: 700; color: #0c4a6e; margin: 4px 0;} +.kpi-sub {margin: 0; font-size: 0.78rem; color: #334155;} +.rtl-mode {direction: rtl; text-align: right;} +.ltr-id {direction: ltr; text-align: left; unicode-bidi: isolate; font-family: ui-monospace, Consolas, monospace;} +""" + + +def _preview_payload() -> dict: + if SAMPLE_PREVIEW.exists(): + return json.loads(SAMPLE_PREVIEW.read_text(encoding="utf-8")) + return {} + + +def _empty_plot() -> go.Figure: + return empty_plot("—") + + +def _scenario_choices(lang: str) -> list[str]: + return [ + t(lang, "scenario_full"), + t(lang, "scenario_maintenance"), + t(lang, "scenario_exposure"), + t(lang, "scenario_iam"), + t(lang, "scenario_logging"), + t(lang, "scenario_broken"), + ] + + +def _parse_scenario(value: str) -> str: + mapping = {} + for lang in ("en", "fa"): + mapping[t(lang, "scenario_full")] = "full" + mapping[t(lang, "scenario_maintenance")] = "maintenance" + mapping[t(lang, "scenario_exposure")] = "exposure" + mapping[t(lang, "scenario_iam")] = "iam" + mapping[t(lang, "scenario_logging")] = "logging" + mapping[t(lang, "scenario_broken")] = "broken" + return mapping.get(value, "full") + + +def _feedback_choices(lang: str) -> list[str]: + return [t(lang, "correct"), t(lang, "false_positive"), t(lang, "insufficient"), t(lang, "needs_review")] + + +def _file_path(value) -> str | None: + if value is None: + return None + if isinstance(value, str): + return value + if isinstance(value, dict) and value.get("path"): + return value["path"] + return getattr(value, "name", None) or getattr(value, "path", None) + + +def apply_language(lang: str): + rtl = lang == "fa" + header = ( + f"
" + f"

{t(lang, 'title')}

{t(lang, 'subtitle')}

{t(lang, 'kind')}

" + ) + preview = _preview_payload() + return ( + gr.update(value=header), + gr.update(value=t(lang, "run_sample")), + gr.update(value=t(lang, "cancel")), + gr.update(value=t(lang, "reset")), + gr.update(value=t(lang, "load_sample")), + gr.update(label=t(lang, "scenario"), choices=_scenario_choices(lang), value=_scenario_choices(lang)[0]), + gr.update(label=t(lang, "threshold")), + gr.update(label=t(lang, "hide_context")), + gr.update(label=t(lang, "actor_filter")), + gr.update(label=t(lang, "resource_filter")), + gr.update(label=t(lang, "change_filter")), + gr.update(value=t(lang, "sample_note")), + gr.update(value=preview.get("kpi_html") or kpi_html(preview.get("kpis"), None, lang)), + gr.update(open=False, label=t(lang, "advanced")), + gr.update(value=t(lang, "method_body"), rtl=rtl), + gr.update(value=t(lang, "upload_hint")), + gr.update(label=t(lang, "custom_logs")), + gr.update(label=t(lang, "logs_file")), + gr.update(label=t(lang, "feedback"), choices=_feedback_choices(lang), value=_feedback_choices(lang)[3]), + gr.update(label=t(lang, "tab_data")), + gr.update(label=t(lang, "tab_findings")), + gr.update(label=t(lang, "tab_evidence")), + gr.update(label=t(lang, "tab_compare")), + gr.update(label=t(lang, "tab_method")), + ) + + +def load_sample_ui(scenario_label: str): + pack = load_sample(_parse_scenario(scenario_label)) + return pack["events"], pack["gold"], pack["full_events"] + + +def reset_defaults(): + pack = load_sample("full") + return pack["events"], pack["gold"], pack["full_events"], DEFAULT_THRESHOLD, False, "", "", "all", "" + + +def run_live( + lang, + scenario_label, + threshold, + hide_context, + actor_filter, + resource_filter, + change_filter, + preview, + gold, + full_events, + extra, + log_file, + previous, +): + scenario = _parse_scenario(scenario_label) + uploaded, messages = load_uploaded(_file_path(log_file)) + source = uploaded if not uploaded.empty else (full_events if isinstance(full_events, pd.DataFrame) and not full_events.empty else preview) + if (source is None or getattr(source, "empty", True)) and scenario: + pack = load_sample(scenario) + source = pack["full_events"] + gold = pack["gold"] + result = run_pipeline( + source, + gold=gold, + threshold=float(threshold or DEFAULT_THRESHOLD), + lang=lang, + extra_text=extra or "", + hide_context=bool(hide_context), + actor_filter=str(actor_filter or ""), + resource_filter=str(resource_filter or ""), + change_filter=str(change_filter or "all"), + ) + if result.get("error") and result["verdict"].value == "invalid_input": + raise gr.Error(result["error"]) + if messages: + result["reasons"] = messages + result["reasons"] + table = findings_table(result) + baseline = next((row.model_dump() for row in result["comparison"] if row.method == "rule_severity" and row.split == "test"), {}) + tmp = Path(tempfile.mkdtemp(prefix="ariact-")) + files = result_to_downloads(result, tmp) + zip_path = tmp / f"{result['run_id']}_bundle.zip" + with ZipFile(zip_path, "w") as zipped: + for path in files.values(): + zipped.write(path, arcname=Path(path).name) + history = pd.DataFrame() + if previous: + history = pd.DataFrame([{"run": "previous", **(previous.get("kpis") or {})}, {"run": "current", **result["kpis"].model_dump()}]) + first = result["findings"][0] if result["findings"] else None + status = f"**{t(lang, 'status')}:** {result['status_label']}" + state = { + "kpis": result["kpis"].model_dump(), + "findings": [item.model_dump() for item in result["findings"]], + "run_id": result["run_id"], + } + evidence = evidence_table(result, first.finding_id) if first else pd.DataFrame() + account = first.account_alias if first else "" + return ( + kpi_html(result["kpis"], baseline, lang), + status, + "\n".join(f"- {line}" for line in result["reasons"]), + finding_markdown(lang, first), + state_markdown(lang, first), + table, + pd.DataFrame([row.model_dump() for row in result["comparison"]]), + timeline_figure(result.get("events"), account, t(lang, "timeline_plot")), + compare_figure([row.model_dump() for row in result["comparison"]], t(lang, "cmp_plot")), + calibration_figure(result.get("calibration") or [], t(lang, "cal_plot")), + finding_scatter(result["findings"], t(lang, "scatter_plot")), + graph_figure(result["findings"], t(lang, "graph_plot")), + str(zip_path), + files["report"], + history, + evidence, + result, + state, + ) + + +def show_finding(evt: gr.SelectData, table, lang, result): + if table is None or evt is None or not result: + return t(lang, "empty_card"), t(lang, "empty_state"), pd.DataFrame(), _empty_plot() + frame = pd.DataFrame(table) + try: + row = frame.iloc[evt.index[0] if isinstance(evt.index, tuple) else evt.index] + except Exception: + return t(lang, "empty_card"), t(lang, "empty_state"), pd.DataFrame(), _empty_plot() + finding_id = str(row.get("finding_id") or "") + match = next((item for item in result.get("findings") or [] if item.finding_id == finding_id), None) + account = match.account_alias if match else "" + return ( + finding_markdown(lang, match), + state_markdown(lang, match), + evidence_table(result, finding_id), + timeline_figure(result.get("events"), account, t(lang, "timeline_plot")), + ) + + +def build_demo() -> gr.Blocks: + pack = load_sample("full") + preview = _preview_payload() + preview_kpis = preview.get("kpis") or { + "n_raw": 0, + "n_valid": 0, + "n_dropped": 0, + "n_changes": 0, + "n_security_review": 0, + "n_context": 0, + "n_incomplete": 0, + "parse_coverage": 0.0, + "seconds": 0.0, + "threshold": DEFAULT_THRESHOLD, + } + + with gr.Blocks(theme=gr.themes.Soft(primary_hue="sky", secondary_hue="slate"), css=CSS) as demo: + lang = gr.Radio(["en", "fa"], value="en", label=TEXTS["en"]["language"]) + header = gr.HTML() + with gr.Row(): + run_btn = gr.Button(t("en", "run_sample"), variant="primary") + cancel_btn = gr.Button(t("en", "cancel"), variant="stop") + reset_btn = gr.Button(t("en", "reset")) + load_btn = gr.Button(t("en", "load_sample")) + note = gr.Markdown(t("en", "sample_note")) + kpis = gr.HTML(preview.get("kpi_html") or kpi_html(preview_kpis, None, "en")) + status = gr.Markdown(t("en", "empty")) + with gr.Row(): + scenario = gr.Radio(choices=_scenario_choices("en"), value=_scenario_choices("en")[0], label=t("en", "scenario")) + threshold = gr.Slider(1.5, 5.0, value=DEFAULT_THRESHOLD, step=0.5, label=t("en", "threshold")) + hide_context = gr.Checkbox(value=False, label=t("en", "hide_context")) + with gr.Row(): + actor_filter = gr.Textbox(label=t("en", "actor_filter"), elem_classes=["ltr-id"]) + resource_filter = gr.Textbox(label=t("en", "resource_filter"), elem_classes=["ltr-id"]) + change_filter = gr.Dropdown(choices=CHANGE_CHOICES, value="all", label=t("en", "change_filter")) + reasons = gr.Markdown() + card = gr.Markdown(t("en", "empty_card")) + state_md = gr.Markdown(t("en", "empty_state")) + + with gr.Tabs() as tabs: + with gr.Tab(t("en", "tab_data")) as tab_data: + hint = gr.Markdown(t("en", "upload_hint")) + log_file = gr.File(label=t("en", "logs_file"), file_types=[".csv", ".json", ".jsonl", ".log", ".txt"]) + events = gr.Dataframe(value=pack["events"], label="CloudTrail preview (first 400 of the generated pack)", wrap=True) + gold = gr.Dataframe(value=pack["gold"], label="Lab change labels") + full_events = gr.State(pack["full_events"]) + with gr.Accordion(t("en", "advanced"), open=False) as advanced: + extra = gr.Textbox(label=t("en", "custom_logs"), lines=5) + + with gr.Tab(t("en", "tab_findings")) as tab_findings: + backlog = gr.Dataframe(label="Changes tagged for review, context, or insufficient evidence") + scatter = gr.Plot(value=_empty_plot()) + graph = gr.Plot(value=_empty_plot()) + + with gr.Tab(t("en", "tab_evidence")) as tab_evidence: + feedback = gr.Radio(choices=_feedback_choices("en"), value=_feedback_choices("en")[3], label=t("en", "feedback")) + timeline = gr.Plot(value=_empty_plot()) + evidence = gr.Dataframe(label="Redacted evidence events") + with gr.Row(): + zip_out = gr.File(label="CSV / JSON bundle") + json_out = gr.File(label="JSON report") + + with gr.Tab(t("en", "tab_compare")) as tab_compare: + comparison = gr.Dataframe(label="AriaCloudTrail vs rule-severity vs role/time vs correlation vs maintenance-aware") + cmp_plot = gr.Plot(value=_empty_plot()) + cal_plot = gr.Plot(value=_empty_plot()) + history = gr.Dataframe(label="Previous vs current KPIs") + + with gr.Tab(t("en", "tab_method")) as tab_method: + method_md = gr.Markdown(t("en", "method_body")) + gr.Markdown( + "Organization: [AriaAICompany](https://huggingface.co/AriaAICompany) · " + "Dataset: [cloudtrail-lab](https://huggingface.co/datasets/AriaAICompany/cloudtrail-lab) · " + "Site: [aria-ai.ir](https://aria-ai.ir/)" + ) + + result_state = gr.State(None) + previous = gr.State(None) + _ = feedback + outputs_lang = [ + header, run_btn, cancel_btn, reset_btn, load_btn, scenario, threshold, hide_context, + actor_filter, resource_filter, change_filter, note, kpis, + advanced, method_md, hint, extra, log_file, feedback, + tab_data, tab_findings, tab_evidence, tab_compare, tab_method, + ] + lang.change(apply_language, inputs=[lang], outputs=outputs_lang) + demo.load(apply_language, inputs=[lang], outputs=outputs_lang) + load_btn.click(load_sample_ui, inputs=[scenario], outputs=[events, gold, full_events]) + reset_btn.click( + reset_defaults, + outputs=[events, gold, full_events, threshold, hide_context, actor_filter, resource_filter, change_filter, extra], + ) + + outputs_run = [ + kpis, status, reasons, card, state_md, backlog, comparison, timeline, cmp_plot, cal_plot, scatter, graph, + zip_out, json_out, history, evidence, result_state, previous, + ] + click = run_btn.click( + run_live, + inputs=[ + lang, scenario, threshold, hide_context, actor_filter, resource_filter, change_filter, + events, gold, full_events, extra, log_file, previous, + ], + outputs=outputs_run, + ) + cancel_btn.click(None, cancels=[click]) + backlog.select(show_finding, inputs=[backlog, lang, result_state], outputs=[card, state_md, evidence, timeline]) + _ = tabs + + return demo diff --git a/demo/src/validation.py b/demo/src/validation.py new file mode 100644 index 0000000000000000000000000000000000000000..3edc640d3d29f184e8bf534d2b28d004acc12ff7 --- /dev/null +++ b/demo/src/validation.py @@ -0,0 +1,83 @@ +from __future__ import annotations + +from typing import Any + +import pandas as pd + +from src.domain import MAX_BYTES, MAX_EVENTS, REQUIRED_EVENT_FIELDS +from src.parsers import parse_timestamp +from src.schemas import ValidationReport + + +def _as_rows(frame: pd.DataFrame | list[dict[str, Any]] | None) -> list[dict[str, Any]]: + if frame is None: + return [] + if isinstance(frame, pd.DataFrame): + if frame.empty: + return [] + rows: list[dict[str, Any]] = [] + for raw in frame.to_dict(orient="records"): + rows.append( + { + key: value + for key, value in raw.items() + if value is not None and not (isinstance(value, float) and pd.isna(value)) + } + ) + return rows + return [dict(item) for item in frame if isinstance(item, dict)] + + +def validate_payload_size(text: str) -> ValidationReport: + report = ValidationReport(ok=True) + if len((text or "").encode("utf-8")) > MAX_BYTES: + report.add("size", f"Upload exceeds {MAX_BYTES} bytes.") + return report + + +def validate_events(rows: pd.DataFrame | list[dict[str, Any]] | None) -> ValidationReport: + report = ValidationReport(ok=True) + raw_rows = _as_rows(rows) + report.n_raw = len(raw_rows) + if not raw_rows: + report.add("empty", "No CloudTrail events provided.", severity="warning") + return report + if len(raw_rows) > MAX_EVENTS: + report.add("count", f"This run accepts at most {MAX_EVENTS} CloudTrail events.") + return report + seen: set[str] = set() + valid = 0 + dropped = 0 + for index, row in enumerate(raw_rows): + locator = f"event row {index}" + timestamp = parse_timestamp( + row.get("timestamp") or row.get("eventTime") or row.get("time") or row.get("created_at") + ) + event_name = str(row.get("event_name") or row.get("eventName") or "").strip() + missing = [] + if timestamp is None: + missing.append("timestamp") + if not event_name: + missing.append("event_name") + if missing: + dropped += 1 + report.add( + "incomplete", + f"Dropped incomplete row ({', '.join(missing)}).", + locator=locator, + severity="warning", + ) + continue + event_id = str(row.get("event_id") or row.get("eventID") or "").strip() + if event_id: + if event_id in seen: + report.add("duplicate", f"Duplicate event_id `{event_id}`.", locator=locator) + seen.add(event_id) + valid += 1 + report.n_valid = valid + report.n_dropped = dropped + if valid == 0: + report.add("empty", "No valid CloudTrail events remained after schema checks.", severity="warning") + unused = REQUIRED_EVENT_FIELDS + _ = unused + return report diff --git a/demo/tests/conftest.py b/demo/tests/conftest.py new file mode 100644 index 0000000000000000000000000000000000000000..9d48db4f9f85e1752cf424c49ee18a6907c3f160 --- /dev/null +++ b/demo/tests/conftest.py @@ -0,0 +1 @@ +from __future__ import annotations diff --git a/demo/tests/test_pipeline.py b/demo/tests/test_pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..920ff1cacf7b697be514781bf8abb18db49eae1c --- /dev/null +++ b/demo/tests/test_pipeline.py @@ -0,0 +1,238 @@ +from __future__ import annotations + +from pathlib import Path + +from src.domain import FEATURE_COLUMNS, MAX_EVENTS, REVIEW_FAMILIES, AlertClass, ChangeType, Family, Tag +from src.features import events_frame +from src.generator import build_lab, cloudtrail_document, filter_lab, lab_events +from src.mapper import normalize_event +from src.parsers import parse_table +from src.pipeline import run_pipeline +from src.redaction import alias_account, redact_text +from src.validation import validate_events + + +def _lab(): + return build_lab() + + +LAB = _lab() +RESULT = run_pipeline(LAB["events"], gold=LAB["gold"], threshold=3.0, calibrate=False) + + +def test_lab_sizes_and_temporal_split(): + frame = events_frame(LAB["events"]) + assert frame["account_alias"].nunique() == 3 + assert 200 <= len(frame) <= 8_000 + assert set(frame["split"]) == {"development", "test"} + assert frame.loc[frame["split"].eq("development"), "timestamp"].max() < "2026-04-10" + assert frame.loc[frame["split"].eq("test"), "timestamp"].min() >= "2026-04-10T00:00:00Z" + assert {"human", "service", "root"} <= set(frame["actor_kind"]) + events = {item.event_id: item for item in lab_events()} + assert events["EVT-MAINT-01"].split == "test" + assert events["EVT-IAM-01"].family == Family.REVIEW_IAM.value + assert events["EVT-IAM-DEV-01"].actor_alias != events["EVT-IAM-01"].event_id + + +def test_labeled_event_is_not_randomly_split(): + frame = events_frame(LAB["events"]) + labeled = frame.loc[frame["lab_event_id"].ne("")] + for event_id, chunk in labeled.groupby("lab_event_id"): + assert chunk["split"].nunique() == 1, event_id + + +def test_account_arn_and_key_redaction(): + row = normalize_event( + { + "eventTime": "2026-04-01T08:00:00Z", + "eventName": "AttachUserPolicy", + "eventSource": "iam.amazonaws.com", + "recipientAccountId": "111111111111", + "userIdentity": { + "type": "IAMUser", + "accountId": "111111111111", + "userName": "alice@aria.invalid", + "arn": "arn:aws:iam::111111111111:user/alice", + }, + "sourceIPAddress": "203.0.113.10", + "requestParameters": {"userName": "bob", "policyArn": "arn:aws:iam::111111111111:policy/Admin", "accessKeyId": "AKIAIOSFODNN7EXAMPLE"}, + } + ) + assert row["account_alias"] == "acct_prod" + assert "111111111111" not in row["request_summary"] + assert "203.0.113.10" not in row["source_ip_alias"] + assert row["source_ip_alias"].startswith("net_") + assert "AKIAIOSFODNN7EXAMPLE" not in row["request_summary"] + assert alias_account("222222222222") == "acct_staging" + assert "111111111111" not in redact_text("arn:aws:iam::111111111111:role/ci") + + +def test_cloudtrail_records_and_jsonl_parse(): + document = cloudtrail_document(LAB["events"].head(12)) + import json + + rows, report = parse_table(json.dumps(document, default=str)) + assert report.ok + assert len(rows) >= 8 + jsonl = ( + '{"eventTime":"2026-04-01T00:00:00Z","eventName":"ListUsers","eventSource":"iam.amazonaws.com"}\n' + '{"eventTime":"2026-04-01T00:01:00Z","eventName":"GetRole","eventSource":"iam.amazonaws.com"}' + ) + parsed, json_report = parse_table(jsonl) + assert json_report.ok + assert len(parsed) == 2 + + +def test_empty_and_oversized_inputs(): + empty = run_pipeline([]) + assert empty["verdict"].value == "insufficient_evidence" + report = validate_events( + [{"timestamp": "2026-04-01T00:00:00Z", "event_name": f"ListUsers{i}"} for i in range(MAX_EVENTS + 1)] + ) + assert not report.ok + assert any(item.code == "count" for item in report.issues) + + +def test_broken_timestamps_are_insufficient(): + pack = filter_lab(LAB, "broken") + result = run_pipeline(pack["events"], gold=pack["gold"]) + assert result["verdict"].value == "insufficient_evidence" + + +def test_features_exclude_identity_shortcuts(): + assert "hour" not in FEATURE_COLUMNS + assert "actor_alias" not in FEATURE_COLUMNS + assert "account_alias" not in FEATURE_COLUMNS + assert "resource_alias" not in FEATURE_COLUMNS + assert "event_id" not in FEATURE_COLUMNS + + +def test_ten_change_types_are_mapped(): + frame = events_frame(LAB["events"]) + mapped = set(frame.loc[frame["lab_event_id"].astype(str).str.startswith("EVT-"), "change_type"]) + expected = { + ChangeType.IAM_PRIVILEGE_GRANT.value, + ChangeType.IAM_CREDENTIAL_CREATE.value, + ChangeType.SECURITY_GROUP_INGRESS.value, + ChangeType.S3_PUBLIC_EXPOSURE.value, + ChangeType.TRAIL_LOGGING_CHANGE.value, + ChangeType.ROOT_ACTIVITY.value, + ChangeType.ROLE_TRUST_CHANGE.value, + ChangeType.DETECTOR_DISABLE.value, + } + assert expected <= mapped + + +def test_change_type_accuracy_and_actor_resource_preserved(): + result = RESULT + test = next(row for row in result["comparison"] if row.method == "ariacloudtrail" and row.split == "test") + assert (test.change_type_accuracy or 0) >= 0.9 + for item in result["findings"]: + assert item.actor_alias + assert item.resource_alias + assert "111111111111" not in item.actor_alias + assert "111111111111" not in item.resource_alias + assert "111111111111" not in item.request_summary + + +def test_ariacloudtrail_recalls_held_out_review_events(): + result = RESULT + assert result["verdict"].value == "ready" + test = next(row for row in result["comparison"] if row.method == "ariacloudtrail" and row.split == "test") + assert test.n_review_events >= 6 + assert (test.event_recall or 0) >= 0.75 + families = {item.gold_family for item in result["findings"] if item.alert_class == AlertClass.SECURITY_REVIEW} + assert REVIEW_FAMILIES & families + + +def test_maintenance_is_context_not_security_review(): + result = RESULT + identity = next(row for row in result["comparison"] if row.method == "ariacloudtrail" and row.split == "test") + raw = next(row for row in result["comparison"] if row.method == "rule_severity" and row.split == "test") + assert identity.maintenance_as_security == 0 + assert raw.maintenance_as_security >= 1 + maint = [item for item in result["findings"] if "EVT-MAINT-01" in item.gold_event_ids] + assert maint + assert all(item.tag == Tag.MAINTENANCE for item in maint) + assert all(item.alert_class == AlertClass.CONTEXT for item in maint) + assert all(item.approval_status.value == "approved_window" for item in maint) + assert all(item.severity.value != item.approval_status.value for item in maint) + + +def test_restricted_sg_in_window_is_context(): + result = RESULT + safe = [item for item in result["findings"] if "EVT-SG-SAFE-01" in item.gold_event_ids] + assert safe + assert all(item.alert_class == AlertClass.CONTEXT for item in safe) + assert all(item.cidr_open is False for item in safe) + + +def test_rule_severity_baseline_flags_maintenance(): + result = RESULT + rules = next(row for row in result["comparison"] if row.method == "rule_severity" and row.split == "test") + aria = next(row for row in result["comparison"] if row.method == "ariacloudtrail" and row.split == "test") + assert rules.maintenance_as_security > aria.maintenance_as_security + + +def test_incomplete_event_does_not_claim_current_exposure(): + result = RESULT + missing = [item for item in result["findings"] if "EVT-INSUFF-01" in item.gold_event_ids] + assert missing + assert all(item.alert_class == AlertClass.INSUFFICIENT for item in missing) + assert all(item.before_state.value == "unknown" or item.after_state.value == "unknown" for item in missing) + blob = " ".join(item.action for item in missing).lower() + assert "current exposure" in blob or "insufficient" in blob + assert "bucket is public" not in blob + assert (result["kpis"].ungrounded_claims or 0) == 0 + + +def test_before_after_only_when_both_exist(): + result = RESULT + s3 = [item for item in result["findings"] if "EVT-S3-01" in item.gold_event_ids] + assert s3 + assert any(item.before_state.value == "known" and item.after_state.value == "known" for item in s3) + assert any(item.before_event_id for item in s3) + trail = [item for item in result["findings"] if "EVT-TRAIL-01" in item.gold_event_ids] + assert trail + assert any(item.before_event_id for item in trail) + + +def test_history_uses_only_earlier_events(): + frame = events_frame(LAB["events"]) + later = frame.loc[frame["event_id"].eq("EVT-S3-01")].iloc[0] + assert later["before_event_id"] + before = frame.loc[frame["event_id"].eq(later["before_event_id"])].iloc[0] + assert before["ts"] < later["ts"] + + +def test_threshold_changes_alert_count(): + from src.detectors import apply_detectors + from src.metrics import calibration_curve + + base = RESULT["changes_base"] + loose = apply_detectors(base, 1.5) + tight = apply_detectors(base, 5.0) + assert int(loose["alert_class"].eq("security_review").sum()) >= int(tight["alert_class"].eq("security_review").sum()) + curve = calibration_curve(base, LAB["gold"], apply_detectors) + assert [point.threshold for point in curve] == [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0] + + +def test_evidence_points_to_real_event_ids(): + result = RESULT + assert result["findings"] + ids = set(result["events"]["event_id"]) + for item in result["findings"]: + assert item.evidence_event_ids + assert set(item.evidence_event_ids) <= ids + + +def test_ui_has_no_cloud_write_or_credential_hook(): + source = (Path(__file__).resolve().parents[1] / "src" / "ui.py").read_text(encoding="utf-8") + lowered = source.lower() + assert "aws_access_key" not in lowered + assert "secret_key" not in lowered + assert "apply to cloud" not in lowered + assert "terraform apply" not in lowered + assert "kubeconfig" not in lowered + assert "exploit" not in lowered + assert "never asks for cloud credentials" in (Path(__file__).resolve().parents[1] / "src" / "i18n.py").read_text(encoding="utf-8").lower() diff --git a/showcase/README.md b/showcase/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1c852421aad56d83cbafa9926c067f055ea97a21 --- /dev/null +++ b/showcase/README.md @@ -0,0 +1,18 @@ +--- +title: AriaCloudTrail +emoji: ☁️ +colorFrom: blue +colorTo: indigo +sdk: static +pinned: true +license: apache-2.0 +short_description: CloudTrail changes for human review +tags: + - cybersecurity + - cloud-security + - audit-log + - text-analysis + - data-visualization +--- + +Organization project card for AriaCloudTrail. The interactive Gradio workbench lives on the personal PRO account when `cpu-basic` capacity allows. diff --git a/showcase/index.html b/showcase/index.html new file mode 100644 index 0000000000000000000000000000000000000000..79f6ecad71a5189ba82732d1c184d9cbc712fc60 --- /dev/null +++ b/showcase/index.html @@ -0,0 +1,64 @@ + + + + + + AriaCloudTrail — Aria AI + + + +
+

Aria AI · Project 16 / 25

+

AriaCloudTrail — Sensitive Cloud Change Review

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+ Rank exported CloudTrail changes that need a human look. Approved Sunday + staging maintenance stays context. One event is not current exposure, and + this page never writes to AWS. +

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+ Open live demo + Dataset + Organization + Collection +
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14 days3 aliased accounts, seed 16
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10 typesIAM, logging, exposure
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Before/afterOnly when both events exist
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CPUNo credentials · no cloud write
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+

+ Organization Gradio hosting needs Team/Enterprise. This page is the AriaAICompany project card. + The iframe is the personal PRO workbench when that Space is running. +

+
+

آریاکلودتریل

+

رویداد CloudTrail آزمایشگاهی را به تغییر حساس نگاشت می‌کند. نگهداری تأییدشده حمله نیست. هشدار یعنی نیازمند بررسی. شناسه حساب مستعار می‌شود و تغییری روی ابر اعمال نمی‌شود.

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