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 risks
Install / Use
npx skills add hypnguyen1209/offensive-claude --skill vulnerability-analysisInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of vulnerability-analysis
vulnerability-analysis scores 86/100 on our quality scale, 725th of 1,096 Security skills we index.
Its SKILL.md is 11 KB long, well organised into 14 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
It has 377 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 14 days ago, so vulnerability-analysis is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-05. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
vulnerability-analysis compared with similar skills
All 4 of these similar skills score higher than vulnerability-analysis; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| vulnerability-analysis (this skill)by hypnguyen1209 | 86 | 377 | 14d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.8k | 19d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 12d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 12d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 13d ago | SKILL.md |
Frequently asked questions
- How do I install vulnerability-analysis?
- Run
npx skills add hypnguyen1209/offensive-claude --skill vulnerability-analysis. The install tabs above show the steps for each supported agent. - Which AI agents does vulnerability-analysis work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is vulnerability-analysis safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is vulnerability-analysis still maintained?
- The repository was last updated 14 days ago, so vulnerability-analysis is actively maintained.
Skill content
View source on GitHubname: vulnerability-analysis description: 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 risks metadata: type: offensive phase: analysis tools: codeql, semgrep, joern, opengrep, trufflehog, gitleaks, kingfisher, osv-scanner, syft, grype, trivy, npm-audit, pip-audit, ysoserial, phpggc mitre: [T1190, T1059, T1552.001, T1195.001, T1213] kill_chain: phase: [recon, exploit] step: [1, 4] attck_tactics: [TA0043, TA0002, TA0001] attck_techniques: [T1190, T1059, T1552.001, T1195.001, T1195.002] depends_on: [recon-osint] feeds_into: [exploit-development, web-pentest] inputs: [attack_surface_map, source_code] outputs: [vulnerability_list, taint_analysis_report, finding_record, sbom] references:
- references/taint-engines-static-analysis.md
- references/injection-source-patterns.md
- references/memory-safety-c-cpp.md
- references/deserialization-prototype-pollution.md
- references/secrets-crypto-authz-concurrency.md
- references/supply-chain-dependency-audit.md
- references/variant-hunting.md scripts:
- scripts/taint_trace.py
- scripts/sast_runner.py
- scripts/joern_taint.sc
- scripts/deser_gadget_scan.py
- scripts/secret_crypto_audit.py
- scripts/dep_audit.py
- scripts/validate_findings.py
- scripts/evidence_kit.py
- scripts/variant_hunt.py
- scripts/path_conditions.py
- scripts/merge_runtime_evidence.py
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
| Technique | ATT&CK | CWE | Reference | Script | |-----------|--------|-----|-----------|--------| | Taint analysis (source/sink/sanitizer modeling) | T1190 | CWE-20 | references/taint-engines-static-analysis.md | scripts/taint_trace.py | | CodeQL/Semgrep/Joern engine orchestration + merge | T1190 | CWE-20 | references/taint-engines-static-analysis.md | scripts/sast_runner.py, scripts/joern_taint.sc | | SQL injection (raw/ORM/identifier/2nd-order/NoSQL) | T1190 | CWE-89 | references/injection-source-patterns.md | scripts/taint_trace.py | | OS command / argument injection | T1059 | CWE-78 / CWE-88 | references/injection-source-patterns.md | scripts/taint_trace.py | | Server-side template injection | T1190 | CWE-1336 | references/injection-source-patterns.md | scripts/taint_trace.py | | Path traversal | T1083 | CWE-22 | references/injection-source-patterns.md | scripts/taint_trace.py | | SSRF (tainted server-side URL) | T1190 | CWE-918 | references/injection-source-patterns.md | scripts/taint_trace.py | | Integer overflow -> heap/stack overflow | T1203 | CWE-190 / CWE-787 | references/memory-safety-c-cpp.md | scripts/joern_taint.sc | | Use-after-free / double-free | T1203 | CWE-416 / CWE-415 | references/memory-safety-c-cpp.md | scripts/joern_taint.sc | | Unbounded copy / NULL deref | T1203 | CWE-120 / CWE-476 | references/memory-safety-c-cpp.md | scripts/joern_taint.sc | | Insecure deserialization + gadget preconditions | T1059 | CWE-502 | references/deserialization-prototype-pollution.md | scripts/deser_gadget_scan.py | | Prototype pollution -> gadget -> RCE | T1059.007 | CWE-1321 | references/deserialization-prototype-pollution.md | scripts/deser_gadget_scan.py | | Hardcoded secrets / high-entropy literals | T1552.001 | CWE-798 / CWE-321 | references/secrets-crypto-authz-concurrency.md | scripts/secret_crypto_audit.py | | Weak / misused cryptography | T1600 | CWE-327 / CWE-328 / CWE-330 / CWE-347 | references/secrets-crypto-authz-concurrency.md | scripts/secret_crypto_audit.py | | Broken authorization / IDOR / BOLA | T1190 | CWE-639 / CWE-862 | references/secrets-crypto-authz-concurrency.md | scripts/secret_crypto_audit.py | | TOCTOU / race condition | T1190 | CWE-367 / CWE-362 | references/secrets-crypto-authz-concurrency.md | scripts/secret_crypto_audit.py | | Known-CVE dependency (SCA) | T1195.001 | CWE-1395 / CWE-1104 | references/supply-chain-dependency-audit.md | scripts/dep_audit.py | | Malicious package / install worm / typosquat | T1195.002 | CWE-506 / CWE-829 / CWE-1357 | references/supply-chain-dependency-audit.md | scripts/dep_audit.py | | Variant hunting — one finding -> all siblings, root-cause clustered | T1190 | CWE-20 | references/variant-hunting.md | scripts/variant_hunt.py | | Path feasibility — branch guards -> tri-state SAT/UNSAT (Z3 optional) | T1190 | CWE-20 | references/taint-engines-static-analysis.md | scripts/path_conditions.py | | Evidence grounding + FP gate (structured proof, EVD citations) | T1190 | CWE-20 | references/finding-validation-runtime.md | scripts/validate_findings.py, scripts/evidence_kit.py | | Runtime reachability confirmation (Frida sink-executed) | T1190 | CWE-20 | references/dynamic-instrumentation.md | scripts/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)
| Technique | Telemetry / IOC | Detection (Sigma/EDR) | OPSEC note |
|-----------|-----------------|------------------------|------------|
| SAST engine runs | codeql database create, semgrep --sarif, joern-parse process trees; large codeql-db//cpg.bin | CI 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 DNS | webserver regex + EDR child-shell Sigma | source review is noiseless; validate with time-based/DNS-OOB, never --dump |
| Memory safety (C/C++) | SIGSEGV/SIGABRT, glibc corrupted/double free, ASan reports | auditd ANOM_ABEND Sigma; EDR RWX/W^X alerts | CPG review silent; fuzz a local copy in a container, purge cores (may hold secrets) |
| Deserialization / proto-pollution | Java rO0AB/.NET AAEAAAD///// in bodies; JVM->LDAP/RMI; POST / w/ Next-Action (CVE-2025-55182) | egress Sigma to 389/636/1099/1389; body-marker rules | prove gadget chain exists; id/DNS callback not reverse shell; proto-pollution is global -> revert |
| Secrets / crypto / authz / TOCTOU | AKIA*/ghp_* patterns; alg:none; sequential-id 200s; symlink-race auditd | secret-scanning push protection; symlink/PATH auditd | secret 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 repo | install-script process-creation Sigma; agentless SBOM lookup | never 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;
unsafeRust 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 withevidence_kit.py(re-verifiable EVD evidence),path_conditions.py(Z3 path-prune, tri-state), andmerge_runtime_evidence.py(Frida runtime sink confirmation).
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
