AppSecBench / scripts /validate.py
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#!/usr/bin/env python3
"""AppSecBench v1.1.0 validation + QA report.
Checks (full list documented in the dataset card / docs/methodology.md):
- JSON validity & duplicate ids
- All required fields present & non-empty
- Enums: language, framework, severity, difficulty, confidence, source_type
- CWE / OWASP / OWASP-API / OWASP-LLM format
- CVSS 3.1 vector format + recomputed score consistency vs expected_cvss_score
- Reference URLs well-formed
- Tag list non-empty; vulnerable != secure; label consistency vs catalog
- Metadata completeness & internal consistency
- Syntax checks per language via compile_check
Emits validation_report.md + validation_summary.json under validation/.
"""
from __future__ import annotations
import json
import os
import re
from collections import Counter
import compile_check
from vuln_catalog import CATALOG_BY_NAME
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DATASET_DIR = os.path.join(ROOT, "dataset")
VALID_DIR = os.path.join(ROOT, "validation")
REQUIRED = [
"benchmark_id", "title", "category", "language", "framework", "application_type",
"source_type", "vulnerability_name", "vulnerability_description", "vulnerable_code",
"secure_code", "exploit_example", "exploitability_explanation", "attack_prerequisites",
"expected_llm_analysis", "expected_detection", "expected_fix", "expected_secure_code",
"expected_severity", "expected_confidence", "expected_cwe", "expected_owasp",
"expected_cvss", "expected_cvss_score", "expected_false_positive_probability",
"expected_false_negative_probability", "evaluation_rubric", "scoring_criteria",
"tags", "references", "metadata",
]
LANGUAGES = {"Python", "Java", "JavaScript", "TypeScript", "Go", "Rust", "PHP",
"C#", "Kotlin", "Swift", "C", "C++", "Ruby", "Scala", "YAML", "Dockerfile", "Bash"}
FRAMEWORKS = {"Flask", "FastAPI", "Django", "Spring Boot", "Express", "NestJS",
"Next.js", "Laravel", "ASP.NET Core", "Gin", "Echo", "Fiber",
"Android", "iOS", "Rails", "Angular", "Vue", "None", ""}
SEVERITIES = {"Low", "Medium", "High", "Critical"}
DIFFICULTIES = {"Beginner", "Intermediate", "Advanced", "Expert", "Real-world enterprise"}
CONFIDENCES = {"Low", "Medium", "High"}
SOURCE_TYPES = {"synthetic", "recreated", "educational"}
CVSS_RE = re.compile(r"^CVSS:3\.1/AV:[NALP]/AC:[LH]/PR:[NLH]/UI:[NR]/S:[CU]/C:[NLH]/I:[NLH]/A:[NLH]$")
CWE_RE = re.compile(r"^CWE-\d+$")
OWASP_RE = re.compile(r"^A\d{2}:2021$")
OWASP_API_RE = re.compile(r"^API\d{1,2}:2023$")
OWASP_LLM_RE = re.compile(r"^LLM\d{2}:2025$")
URL_RE = re.compile(r"^https?://[^\s]+$")
SPLITS = ("train", "validation", "test")
def recompute_cvss_score(vector: str) -> float:
from cvss import compute_base_vector
parts = dict(p.split(":") for p in vector.split("/")[1:])
_, score = compute_base_vector(av=parts["AV"], ac=parts["AC"], pr=parts["PR"],
ui=parts["UI"], s=parts["S"], c=parts["C"],
i=parts["I"], a=parts["A"])
return score
def main():
errors, warnings = [], []
all_ids, all_recs = Counter(), []
for name in SPLITS:
path = os.path.join(DATASET_DIR, f"{name}.jsonl")
with open(path, encoding="utf-8") as f:
for i, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
try:
obj = json.loads(line)
except json.JSONDecodeError as e:
errors.append(f"{name}:{i}: bad JSON {e}")
continue
all_recs.append(obj)
rid = obj.get("benchmark_id", f"<no-id:{name}:{i}>")
all_ids[rid] += 1
for fld in REQUIRED:
v = obj.get(fld)
if isinstance(v, str) and not v.strip():
errors.append(f"{rid}: empty {fld}")
elif v is None:
errors.append(f"{rid}: missing {fld}")
if obj.get("language") not in LANGUAGES:
errors.append(f"{rid}: bad language {obj.get('language')}")
if obj.get("framework") not in FRAMEWORKS:
errors.append(f"{rid}: bad framework {obj.get('framework')}")
if obj.get("expected_severity") not in SEVERITIES:
errors.append(f"{rid}: bad severity {obj.get('expected_severity')}")
diff = obj.get("metadata", {}).get("difficulty")
if diff not in DIFFICULTIES:
errors.append(f"{rid}: bad difficulty {diff}")
if obj.get("expected_confidence") not in CONFIDENCES:
errors.append(f"{rid}: bad confidence {obj.get('expected_confidence')}")
if obj.get("source_type") not in SOURCE_TYPES:
errors.append(f"{rid}: bad source_type {obj.get('source_type')}")
if not CWE_RE.match(obj.get("expected_cwe", "")):
errors.append(f"{rid}: bad cwe {obj.get('expected_cwe')}")
if not OWASP_RE.match(obj.get("expected_owasp", "")):
errors.append(f"{rid}: bad owasp {obj.get('expected_owasp')}")
owl = obj.get("expected_owasp_llm", "")
if owl and not OWASP_LLM_RE.match(owl):
warnings.append(f"{rid}: odd owasp_llm {owl}")
oapi = obj.get("expected_owasp_api", "")
if oapi and not OWASP_API_RE.match(oapi):
warnings.append(f"{rid}: odd owasp_api {oapi}")
cvss = obj.get("expected_cvss", "")
if not CVSS_RE.match(cvss):
errors.append(f"{rid}: bad cvss vector {cvss}")
else:
try:
recomputed = recompute_cvss_score(cvss)
stated = float(obj.get("expected_cvss_score", -1))
if abs(recomputed - stated) > 0.05:
errors.append(f"{rid}: cvss score mismatch recomputed={recomputed} stated={stated}")
except Exception as e:
errors.append(f"{rid}: cvss recompute failed {e}")
refs = obj.get("references", [])
if not isinstance(refs, list) or not refs:
errors.append(f"{rid}: references must be non-empty list")
else:
for u in refs:
if not URL_RE.match(str(u)):
warnings.append(f"{rid}: odd reference {u}")
if not isinstance(obj.get("tags"), list) or not obj["tags"]:
errors.append(f"{rid}: tags must be non-empty list")
if obj.get("vulnerable_code") == obj.get("secure_code"):
errors.append(f"{rid}: vulnerable_code equals secure_code")
cat = CATALOG_BY_NAME.get(obj.get("vulnerability_name", ""))
if cat:
if obj.get("expected_cwe") != cat["cwe"]:
errors.append(f"{rid}: cwe mismatch catalog")
if obj.get("expected_owasp") != cat["owasp"]:
errors.append(f"{rid}: owasp mismatch catalog")
else:
errors.append(f"{rid}: unknown vulnerability_name {obj.get('vulnerability_name')}")
md = obj.get("metadata", {})
if md.get("cwe") != obj.get("expected_cwe"):
errors.append(f"{rid}: metadata.cwe mismatch")
if md.get("cvss_vector") != cvss:
errors.append(f"{rid}: metadata.cvss_vector mismatch")
if not isinstance(md.get("cvss_score"), (int, float)):
errors.append(f"{rid}: metadata.cvss_score missing")
for fld in ("vulnerable_code", "secure_code"):
code = obj.get(fld, "")
ok, detail = compile_check.check(obj.get("language"), code)
if ok is False:
errors.append(f"{rid}: {fld} [{obj.get('language')}] {detail}")
elif ok is None:
warnings.append(f"{rid}: {fld} [{obj.get('language')}] unchecked ({detail})")
for rid, c in all_ids.items():
if c > 1:
errors.append(f"duplicate id {rid} x{c}")
stats = {
"total_records": len(all_recs),
"by_language": dict(Counter(r["language"] for r in all_recs)),
"by_framework": dict(Counter(r["framework"] for r in all_recs if r["framework"] != "None")),
"by_severity": dict(Counter(r["expected_severity"] for r in all_recs)),
"by_cwe": dict(Counter(r["expected_cwe"] for r in all_recs)),
"by_owasp": dict(Counter(r["expected_owasp"] for r in all_recs)),
"by_category": dict(Counter(r["category"] for r in all_recs)),
"by_difficulty": dict(Counter(r["metadata"]["difficulty"] for r in all_recs)),
"by_vulnerability": dict(Counter(r["vulnerability_name"] for r in all_recs)),
"unique_cwe": sorted({r["expected_cwe"] for r in all_recs}),
"unique_owasp": sorted({r["expected_owasp"] for r in all_recs}),
"unique_vulnerabilities": sorted({r["vulnerability_name"] for r in all_recs}),
}
os.makedirs(VALID_DIR, exist_ok=True)
with open(os.path.join(VALID_DIR, "validation_summary.json"), "w", encoding="utf-8") as f:
json.dump({"errors": errors, "warnings": warnings, "stats": stats}, f, indent=2, ensure_ascii=False)
status = "PASS" if not errors else "FAIL"
report_lines = (
["# AppSecBench Validation Report", "", f"**Status:** {status}",
f"**Records:** {stats['total_records']}",
f"**Errors:** {len(errors)} | **Warnings:** {len(warnings)}", "",
"## Distributions", "",
f"- Languages: {len(stats['by_language'])}", f"- Frameworks: {len(stats['by_framework'])}",
f"- CWEs: {len(stats['unique_cwe'])}", f"- OWASP: {len(stats['unique_owasp'])}",
f"- Vulnerabilities: {len(stats['unique_vulnerabilities'])}", "",
"## Errors"]
+ ([f"- {e}" for e in errors] or ["(none)"]) + [""]
+ ["## Warnings (sample)"]
+ ([f"- {w}" for w in warnings[:50]] or ["(none)"])
)
with open(os.path.join(VALID_DIR, "validation_report.md"), "w", encoding="utf-8") as f:
f.write("\n".join(report_lines))
print(status)
print(f"records={stats['total_records']} errors={len(errors)} warnings={len(warnings)}")
for e in errors[:30]:
print(" ERR", e)
return 0 if status == "PASS" else 1
if __name__ == "__main__":
raise SystemExit(main())