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Vulnerability analysis

Skill hypnguyen1209/offensive-claude/skills/vulnerability-analysis

Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risksFrom its SKILL.md

Install
npx -y skills add hypnguyen1209/offensive-claude --skill vulnerability-analysis

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SKILL.md

11.4 KB, ~2.7k tokens by cl100k_base, as published. Nobody here has run it

Vulnerability Analysis

Every vulnerability you miss is one an attacker finds first. Systematic source auditing traces untrusted data from source to sink, evaluates every sanitizer for bypass, and questions each trust-boundary assumption. This skill is the router; depth lives in references/, and every technique cluster is backed by a runnable tool in scripts/.

When to Activate

  • Auditing any codebase (white/grey box) for security vulnerabilities
  • Writing/driving CodeQL queries, Semgrep taint rules, or Joern CPGQL flows
  • Tracing injection, deserialization, prototype-pollution, or memory-safety paths
  • Reviewing auth/authorization (IDOR/BOLA), cryptography, or concurrency (TOCTOU)
  • Triaging dependency CVEs and hunting malicious/compromised packages (SCA)
  • Variant hunting — generalizing one finding into a codebase-wide pattern

Technique Map

TechniqueATT&CKCWEReferenceScript
Taint analysis (source/sink/sanitizer modeling)T1190CWE-20references/taint-engines-static-analysis.mdscripts/taint_trace.py
CodeQL/Semgrep/Joern engine orchestration + mergeT1190CWE-20references/taint-engines-static-analysis.mdscripts/sast_runner.py, scripts/joern_taint.sc
SQL injection (raw/ORM/identifier/2nd-order/NoSQL)T1190CWE-89references/injection-source-patterns.mdscripts/taint_trace.py
OS command / argument injectionT1059CWE-78 / CWE-88references/injection-source-patterns.mdscripts/taint_trace.py
Server-side template injectionT1190CWE-1336references/injection-source-patterns.mdscripts/taint_trace.py
Path traversalT1083CWE-22references/injection-source-patterns.mdscripts/taint_trace.py
SSRF (tainted server-side URL)T1190CWE-918references/injection-source-patterns.mdscripts/taint_trace.py
Integer overflow -> heap/stack overflowT1203CWE-190 / CWE-787references/memory-safety-c-cpp.mdscripts/joern_taint.sc
Use-after-free / double-freeT1203CWE-416 / CWE-415references/memory-safety-c-cpp.mdscripts/joern_taint.sc
Unbounded copy / NULL derefT1203CWE-120 / CWE-476references/memory-safety-c-cpp.mdscripts/joern_taint.sc
Insecure deserialization + gadget preconditionsT1059CWE-502references/deserialization-prototype-pollution.mdscripts/deser_gadget_scan.py
Prototype pollution -> gadget -> RCET1059.007CWE-1321references/deserialization-prototype-pollution.mdscripts/deser_gadget_scan.py
Hardcoded secrets / high-entropy literalsT1552.001CWE-798 / CWE-321references/secrets-crypto-authz-concurrency.mdscripts/secret_crypto_audit.py
Weak / misused cryptographyT1600CWE-327 / CWE-328 / CWE-330 / CWE-347references/secrets-crypto-authz-concurrency.mdscripts/secret_crypto_audit.py
Broken authorization / IDOR / BOLAT1190CWE-639 / CWE-862references/secrets-crypto-authz-concurrency.mdscripts/secret_crypto_audit.py
TOCTOU / race conditionT1190CWE-367 / CWE-362references/secrets-crypto-authz-concurrency.mdscripts/secret_crypto_audit.py
Known-CVE dependency (SCA)T1195.001CWE-1395 / CWE-1104references/supply-chain-dependency-audit.mdscripts/dep_audit.py
Malicious package / install worm / typosquatT1195.002CWE-506 / CWE-829 / CWE-1357references/supply-chain-dependency-audit.mdscripts/dep_audit.py
Variant hunting — one finding -> all siblings, root-cause clusteredT1190CWE-20references/variant-hunting.mdscripts/variant_hunt.py
Path feasibility — branch guards -> tri-state SAT/UNSAT (Z3 optional)T1190CWE-20references/taint-engines-static-analysis.mdscripts/path_conditions.py
Evidence grounding + FP gate (structured proof, EVD citations)T1190CWE-20references/finding-validation-runtime.mdscripts/validate_findings.py, scripts/evidence_kit.py
Runtime reachability confirmation (Frida sink-executed)T1190CWE-20references/dynamic-instrumentation.mdscripts/merge_runtime_evidence.py

Quick Start

# 0. Intake from recon-osint: languages, frameworks, trust boundaries, entry points.

# 1. Fast triage — rank files by unsanitized source->sink flows (heuristic, multi-lang)
python3 scripts/taint_trace.py trace ./src --lang py,js,php,java --json triage.json
python3 scripts/taint_trace.py config --lang py > seed.semgrep.yml   # seed a real rule

# 2. Deep interprocedural — drive the real engines, then merge into one ranked list
python3 scripts/sast_runner.py semgrep --src ./src --config p/owasp-top-ten --pro --out sg.sarif
python3 scripts/sast_runner.py codeql  --src ./src --lang python \
    --suite codeql/python-queries:codeql-suites/python-security-extended.qls --out cq.sarif
python3 scripts/sast_runner.py joern   --src ./src --script scripts/joern_taint.sc --out joern.json
python3 scripts/sast_runner.py merge   sg.sarif cq.sarif joern.json --out merged.json --top 50

# 3. Class-specific deep passes
python3 scripts/deser_gadget_scan.py  all ./src --json deser.json     # deser sinks + gadget libs
python3 scripts/secret_crypto_audit.py all ./src --json sca.json      # secrets+crypto+authz+TOCTOU
python3 scripts/dep_audit.py          all ./repo --json dep.json      # CVE SCA + worm/typosquat
trufflehog filesystem ./src --only-verified                          # confirm LIVE secrets

# 4. Exploitability gate (per finding): reachable? controllable? real impact? sanitizer real?
#    -> write confirmed issues to templates/exploit/findings/ with
#       severity, CWE, CVSS, taint path, PoC, evidence, ATT&CK ID, remediation.
python3 scripts/evidence_kit.py verify --store evidence.json            # re-hash every artifact
python3 scripts/validate_findings.py --findings findings.json \
    --evidence ./evidence --evidence-store evidence.json --strict       # tier + EVD-citation gate

# 5. After a CONFIRMED finding: hunt every sibling, then prune false-positive paths
python3 scripts/variant_hunt.py ./src --seed-finding findings.json --lang py,js --json variants.json
python3 scripts/taint_trace.py trace ./src --lang py --json trace.json   # trace carries branch guards
python3 scripts/path_conditions.py --trace trace.json --json feasibility.json  # Z3 prune (tri-state)
python3 scripts/merge_runtime_evidence.py --events events.jsonl --findings findings.json --out merged.json

OPSEC & Detection (summary)

TechniqueTelemetry / IOCDetection (Sigma/EDR)OPSEC note
SAST engine runscodeql database create, semgrep --sarif, joern-parse process trees; large codeql-db//cpg.binCI process-creation Sigma (informational)offline & silent; CodeQL --command runs target build -> sandbox hostile repos; purge DBs/SARIF on teardown
Injection (SQLi/cmdi/SSTI/SSRF)SQL keywords/SLEEP, web svc spawning sh/curl, template engine errors, OOB DNSwebserver regex + EDR child-shell Sigmasource review is noiseless; validate with time-based/DNS-OOB, never --dump
Memory safety (C/C++)SIGSEGV/SIGABRT, glibc corrupted/double free, ASan reportsauditd ANOM_ABEND Sigma; EDR RWX/W^X alertsCPG review silent; fuzz a local copy in a container, purge cores (may hold secrets)
Deserialization / proto-pollutionJava rO0AB/.NET AAEAAAD///// in bodies; JVM->LDAP/RMI; POST / w/ Next-Action (CVE-2025-55182)egress Sigma to 389/636/1099/1389; body-marker rulesprove gadget chain exists; id/DNS callback not reverse shell; proto-pollution is global -> revert
Secrets / crypto / authz / TOCTOUAKIA*/ghp_* patterns; alg:none; sequential-id 200s; symlink-race auditdsecret-scanning push protection; symlink/PATH auditdsecret verification makes a logged provider API call -> only in scope; read one record for IDOR/TOCTOU evidence
Supply chain (SCA / worm)install hook spawning shell/net; bundle.js/setup_bun.js; new public Shai-Hulud repoinstall-script process-creation Sigma; agentless SBOM lookupnever npm install a suspect tree; --ignore-scripts in a disposable container; treat a compromised dep as full host compromise

Deep Dives

  • references/taint-engines-static-analysis.md — taint theory + propagation rules; Semgrep (taint mode, Pro interfile, Opengrep), CodeQL modular dataflow API, Joern CPG/reachableBy; engine orchestration + multi-tool merge; CPG+LLM (2025).
  • references/injection-source-patterns.md — source-code shapes of SQLi (incl. identifier/ORDER BY/2nd-order/NoSQL), OS command & argument injection, SSTI, path traversal, SSRF; per-language safe/vuln pairs; Joern/Semgrep confirmation.
  • references/memory-safety-c-cpp.md — integer overflow->overflow, UAF/double-free, unbounded copy, NULL deref; the 2025 libxml2 CVE cluster; ASan/UBSan + fuzzing confirmation; unsafe Rust surface.
  • references/deserialization-prototype-pollution.md — CWE-502 sinks + gadget preconditions (ysoserial/phpggc/ysoserial.net), JS prototype pollution->RCE; React2Shell CVE-2025-55182, Tomcat CVE-2025-24813, lodash CVE-2025-13465, Silent Spring.
  • references/secrets-crypto-authz-concurrency.md — hardcoded secrets (gitleaks/ trufflehog/Kingfisher), weak crypto, IDOR/BOLA, TOCTOU/race; LLM-augmented secret detection (2025).
  • references/supply-chain-dependency-audit.md — OSV/SCA, malicious-package & install worm heuristics, typosquats; Shai-Hulud 1.0/2.0/Mini (CVE-2026-45321), the SLSA provenance-bypass lesson.
  • references/variant-hunting.md — HUNT protocol: one confirmed finding -> tree-wide sibling sweep, same-function taint qualification, root-cause clustering (copy-paste/shared-util/ framework-misuse) to decide one-fix-or-many; backed by variant_hunt.py. Pairs with evidence_kit.py (re-verifiable EVD evidence), path_conditions.py (Z3 path-prune, tri-state), and merge_runtime_evidence.py (Frida runtime sink confirmation).

What ships with it: 18 files

170.5 KB alongside SKILL.md, 10 of them executable

Gives 0 of the 12 instructions most research analysis skills give in ~2.7k tokens

Counted across 1,213 of the 2,113 authors here whose files we hold, read 2026-09-06

  • Cite sources for every important claimin 47 of 1213, across 38 files
  • Separate facts from inferences and recommendationsin 21 of 1213, across 12 files
  • Write findings to a markdown filein 19 of 1213
  • Label every insight with a confidence levelin 18 of 1213, across 8 files
  • Read product marketing context before asking questionsin 18 of 1213, across 8 files
  • Rank themes by frequency and intensityin 16 of 1213, across 6 files
  • Establish research mode before proceedingin 16 of 1213, across 6 files
  • Segment survey responses by customer tier or tenurein 16 of 1213, across 6 files
  • Categorize support tickets before analyzingin 16 of 1213, across 6 files
  • Weight research sources from the last twelve monthsin 16 of 1213, across 6 files
  • Use at least five data points per segmentin 15 of 1213, across 5 files
  • Extract verbatim quotes for all research findingsin 15 of 1213, across 5 files

Said here and by no other author read

  • evaluate every sanitizer for bypass
  • question each trust boundary assumption
  • rank files by unsanitized source to sink flows
  • merge findings from multiple analysis engines
  • write confirmed issues to templates
  • hunt for sibling vulnerabilities after confirmation

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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