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6cb82c6 d5349e0 6cb82c6 d5349e0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | from __future__ import annotations
import re
import bisect
from pathlib import Path
from typing import Iterable, List, Optional, Sequence
from .models import Confidence, FileRole, Finding, ScanDomain, Severity
TEXT_EXTENSIONS = {
".py", ".ts", ".tsx", ".js", ".jsx", ".mjs", ".cjs", ".json", ".yml", ".yaml", ".tf", ".go",
".java", ".kt", ".rb", ".php", ".sh", ".bash", ".ps1", ".env", ".txt", ".md", ".html", ".htm",
".css", ".scss", ".less", ".dockerfile", ".lock", ".toml", ".ini", ".cfg", ".conf", ".sql",
}
def normalize_source_type(raw: Optional[str]) -> str:
mapping = {
"live_url": "url",
"url": "url",
"github": "github",
"github_repo": "github",
"repo": "github",
"local_upload": "local",
"local": "local",
}
return mapping.get((raw or "").lower(), "url")
def infer_file_role(path: str) -> FileRole:
lower = path.replace("\\", "/").lower()
if "/test" in lower or lower.endswith((".test.ts", ".test.tsx", ".spec.ts", ".spec.tsx", ".spec.js", ".spec.jsx")):
return FileRole.TEST
if any(token in lower for token in ("fixture", "fixtures", "__mocks__", "mock", "sample", "example")):
return FileRole.FIXTURE
if any(token in lower for token in (".github/workflows", "/.github/", "github-actions", "circleci", "jenkins")):
return FileRole.CI
if any(token in lower for token in ("dockerfile", ".tf", ".tfvars", "k8s", "kubernetes", "helm", "chart", "compose")):
return FileRole.INFRA
if any(token in lower for token in ("config", "settings", "env", "infra", "deployment", "deploy")):
return FileRole.CONFIG
if any(token in lower for token in ("vendor", "node_modules", "dist", "build", "coverage")):
return FileRole.VENDOR
return FileRole.PRODUCTION
def guess_language(path: str) -> Optional[str]:
suffix = Path(path).suffix.lower()
return {
".py": "python",
".ts": "typescript",
".tsx": "tsx",
".js": "javascript",
".jsx": "jsx",
".json": "json",
".yml": "yaml",
".yaml": "yaml",
".tf": "hcl",
".html": "html",
".htm": "html",
".sh": "bash",
".sql": "sql",
}.get(suffix)
def is_text_path(path: str) -> bool:
suffix = Path(path).suffix.lower()
return suffix in TEXT_EXTENSIONS or Path(path).name.lower() in {"dockerfile", "makefile", "procfile"}
def normalize_path(path: str) -> str:
return path.replace("\\", "/").lstrip("./")
def should_ignore_path(path: str) -> bool:
lower = normalize_path(path).lower()
return any(token in lower for token in ("/.git/", "/node_modules/", "/dist/", "/build/", "/coverage/", "/vendor/"))
def snippet_for_line(content: str, line_number: Optional[int], radius: int = 2) -> str:
if not line_number or line_number < 1:
return content[:500]
lines = content.splitlines()
start = max(0, line_number - radius - 1)
end = min(len(lines), line_number + radius)
return "\n".join(lines[start:end])[:1500]
def make_finding(
*,
title: str,
description: str,
severity: Severity,
domain: ScanDomain,
file_path: Optional[str] = None,
line_number: Optional[int] = None,
check_id: Optional[str] = None,
check_category: Optional[str] = None,
policy_reference: Optional[str] = None,
explanation: str = "",
suggested_fix: str = "",
confidence: Confidence = Confidence.MEDIUM,
file_role: Optional[FileRole] = None,
category: Optional[str] = None,
secret_type: Optional[str] = None,
raw_secret_value: Optional[str] = None,
taint_path: Optional[object] = None,
confirmed_runtime: bool = False,
is_false_positive: bool = False,
false_positive_reason: Optional[str] = None,
) -> Finding:
return Finding(
title=title,
description=description,
severity=severity,
domain=domain,
file_path=file_path,
line_number=line_number,
check_id=check_id,
check_category=check_category,
policy_reference=policy_reference,
explanation=explanation or description,
suggested_fix=suggested_fix,
confidence=confidence,
file_role=file_role or (infer_file_role(file_path) if file_path else None),
category=category,
secret_type=secret_type,
raw_secret_value=raw_secret_value,
taint_path=taint_path,
confirmed_runtime=confirmed_runtime,
is_false_positive=is_false_positive,
false_positive_reason=false_positive_reason,
)
def dedupe_findings(findings: Sequence[Finding]) -> List[Finding]:
deduped: dict[tuple[str, str, Optional[int], Optional[str]], Finding] = {}
for finding in findings:
key = (
finding.title.lower().strip(),
normalize_path(finding.file_path or ""),
finding.line_number,
(finding.check_id or "").strip() or None,
)
existing = deduped.get(key)
if existing is None:
deduped[key] = finding
continue
if severity_rank(finding.severity) > severity_rank(existing.severity):
deduped[key] = finding
return list(deduped.values())
def severity_rank(severity: Severity | str) -> int:
value = severity.value if isinstance(severity, Severity) else str(severity)
order = {"critical": 5, "high": 4, "medium": 3, "low": 2, "info": 1}
return order.get(value, 0)
def score_from_findings(findings: Sequence[Finding]) -> int:
score = 100
for finding in findings:
if finding.is_false_positive:
continue
severity = finding.severity.value if isinstance(finding.severity, Severity) else str(finding.severity)
weight = {"critical": 25, "high": 15, "medium": 8, "low": 3, "info": 0}.get(severity, 0)
if finding.file_role in {FileRole.TEST, FileRole.FIXTURE, FileRole.VENDOR}:
weight = max(0, weight - 4)
score -= weight
return max(0, min(100, score))
def is_ignored_for_validation(finding: Finding) -> bool:
role = finding.file_role or (infer_file_role(finding.file_path) if finding.file_path else None)
return role in {FileRole.TEST, FileRole.FIXTURE, FileRole.VENDOR}
def split_lines(content: str) -> list[str]:
return content.splitlines() or [content]
def matches_any(patterns: Iterable[str], text: str) -> bool:
return any(re.search(pattern, text, flags=re.IGNORECASE | re.MULTILINE) for pattern in patterns)
class LineCounter:
def __init__(self, content: str):
self.newlines = [i for i, c in enumerate(content) if c == '\n']
def line_of(self, pos: int) -> int:
return bisect.bisect_right(self.newlines, pos) + 1
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