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Publish Layerfault deep challenge LF-CH-SER-0011

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CHALLENGE_ORACLE.json ADDED
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+ {
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+ "attack_surface": [
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+ "serialization-mutation"
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+ ],
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+ "control_type": "positive",
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+ "corpus_id": "LF-CH-SER-0011",
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+ "difficulty": "basic",
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+ "expected_decision": "WARN",
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+ "ground_truth": "synthetic-generated",
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+ "layerfault_rule_expectations": {
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+ "candidate_rules": [],
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+ "expected_rules": [
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+ "LF-NPY-PICKLE"
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+ ],
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+ "must_not_rules": []
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+ },
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+ "oracle_ids": [
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+ "LF-ORACLE-SER-0011"
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+ ],
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+ "related_cases": [],
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+ "repo_name": "serialization-numpy-object-array",
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+ "safe_fixture": true,
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+ "schema": 2,
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+ "severity": "low",
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+ "techniques": [
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+ "numpy"
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+ ],
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+ "transformations": []
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+ }
FIXTURE_LAYOUT.json ADDED
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+ {
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+ "artifacts": [
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+ "array.npy"
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+ ],
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+ "family": "serialization",
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+ "note": "All content is synthetic and inert. Do not treat this as a production model.",
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+ "repo_name": "serialization-numpy-object-array"
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+ }
LAYERFAULT_CORPUS.json ADDED
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+ {
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+ "candidate_rules": [],
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+ "challenge": {
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+ "attack_surface": [
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+ "serialization-mutation"
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+ ],
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+ "control_type": "positive",
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+ "difficulty": "basic",
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+ "expected_decision": "WARN",
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+ "oracle_ids": [
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+ "LF-ORACLE-SER-0011"
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+ ],
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+ "related_cases": [],
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+ "severity": "low",
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+ "techniques": [
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+ "numpy"
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+ ],
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+ "transformations": []
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+ },
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+ "corpus_id": "LF-CH-SER-0011",
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+ "description": "Serialization numpy object array.",
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+ "expected_rules": [
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+ "LF-NPY-PICKLE"
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+ ],
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+ "generator": "challenges.generate_challenge",
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+ "ground_truth": "synthetic-generated",
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+ "must_not_rules": [],
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+ "repo_name": "serialization-numpy-object-array",
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+ "repo_type": "model",
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+ "safe_fixture": true,
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+ "safety": "inert/canary-only",
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+ "schema": 1,
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+ "validation": {
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+ "kind": "verify-package",
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+ "target": "array.npy"
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+ }
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+ }
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - layerfault
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+ - security-research
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+ - model-security
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+ - synthetic
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+ - adversarial-testing
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+ extra_gated_prompt: >-
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+ This repository is a synthetic security-test artifact from the Layerfault
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+ corpus. It intentionally contains adversarial characteristics (e.g.
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+ suspicious pickle opcodes, executable-format smuggling, prompt-injection
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+ strings) designed to exercise security scanner detection rules. It is
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+ **not** a usable ML model and must never be loaded or executed outside an
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+ isolated scanner-testing environment. By accepting, you confirm you
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+ understand this repository is a test fixture, not production model
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+ weights.
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+ extra_gated_button_content: I understand this is a security test fixture and accept the risk
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+ gated: auto
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+ ---
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+
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+ # serialization-numpy-object-array
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+
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+ > **SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL**
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+
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+ This repository is part of the Layerfault synthetic security corpus.
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+ It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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+
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+ **Corpus ID:** `LF-CH-SER-0011`
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+
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+ ## Purpose
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+
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+ Serialization numpy object array.
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+
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+ ## Direct expected Layerfault rules
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+
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+ - `LF-NPY-PICKLE`
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+
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+ ## Candidate rules
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+
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+ These are deliberately plausible targets that remain marked as candidates until the exact
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+ Layerfault build used for certification confirms them.
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+
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+ - None
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+
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+ ## Negative-control rules
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+
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+ These should remain silent for this corpus item.
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+
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+ - None
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+
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+ ## Safety
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+
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+ The corpus uses fake secrets, loopback/`.invalid` network destinations, harmless marker output,
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+ and synthetic model behavior only. It is intended for static scanning and isolated security testing.
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+
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+ ## Challenge classification
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+
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+ - Severity: **low**
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+ - Difficulty: **basic**
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+ - Expected admission decision: **WARN**
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+ - Control type: **positive**
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+ - Attack surface: serialization-mutation
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+ - Techniques: numpy
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+ - Transformations: none
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+
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+ ### Ground-truth oracle IDs
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+
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+ - `LF-ORACLE-SER-0011`
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+
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+ These oracle IDs describe synthetic ground truth. They do not claim that a
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+ matching Layerfault detector already exists. A challenge may intentionally expose
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+ a scanner blind spot and remain unmapped until the detector is implemented.
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