Penetration Testing Methodology (PTES-Aligned)

SkillSecurity

PTES-aligned penetration testing methodology for backend, frontend, and mobile. Provides attack taxonomy, exploit techniques per vulnerability class, and platform-specific test matrices. Use when executing pentest workflow, planning security assessments, mapping attack surfaces, or building threat models.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Penetration Testing Methodology (PTES-Aligned) skill

What this skill tells your AI

The instructions your AI receives, as published by hoangnguyen0403/agent-skills-standard in skills/common/common-pentest-methodology/SKILL.md and read by ahel’s review.

Priority: P0 (CRITICAL)

Always-Apply Rules

  • No Exploit = No Report: Every finding requires reproducible Proof-of-Concept. Hypotheses without PoC are discarded.
  • No Production Testing: All dynamic probes target local/staging only. Confirm authorization before Phase 1.
  • No Single-Platform Bias: Assess backend, frontend, AND mobile surfaces when in-scope.

Workflow

Load alongside /pentest workflow. Provides methodology backbone for all 7 phases.

  1. Scope → Define test mode (whitebox/greybox/blackbox), platforms, exclusions.
  2. Recon → Build asset inventory per platform. See platform-recon.
  3. Threat Model → Rank endpoints by risk. See threat-modeling.
  4. Analyze → Run vulnerability matrix across all domains. Load common-owasp, common-security-audit, common-dast-tooling.
  5. Exploit → Validate each finding with PoC. See exploit-techniques.
  6. Post-Exploit → Assess blast radius, lateral movement, privilege escalation.
  7. Report → Audit-grade output with CVSS scoring. See report-template and compliance-mapping.

Platform Coverage Matrix

DomainBackend/APIFrontend/WebMobile (iOS/Android)
InjectionSQLi, CMDi, NoSQLi, LDAPiTemplate injection, DOM sinksContent provider SQLi, Intent injection
XSSResponse encodingDOM XSS, innerHTML, framework bypassesWebView loadUrl, JavaScript bridges
AuthJWT, OAuth, Session, MFAToken storage, session managementKeychain/Keystore, biometric bypass
AuthZBOLA/IDOR, BFLA, Mass AssignmentClient-side role gatesLocal permission checks without server
SSRFHTTP client + user URLSSR with user-supplied URLCustom scheme fetching arbitrary URLs
Business LogicRace conditions, workflow bypassClient-only validation, price tamperIAP bypass, receipt validation skip
CryptoWeak hash, missing TLSHTTP calls, weak CSPMissing cert pin, cleartext traffic
ConfigCORS, debug mode, headersSource maps, debug flags in proddebuggable=true, ATS exceptions
Deps/SCAnpm audit, pip-audit, cargo auditBundle vuln analysispod audit, Gradle dependency scan
SecretsEntropy + regex + livenessSecrets in JS bundlesKeys in BuildConfig/Info.plist
LLM/AIPrompt injection, excessive agencyOutput to DOM sinksAgent tools without confirmation

Continuous & Compliance Execution

  • Continuous Testing: Execute Delta scans on PRs or Replay regression PoCs. See continuous-pentest.
  • Compliance Mapping: Map findings to SOC 2, ISO 27001, PCI DSS, or OWASP MASVS. See compliance-mapping.

Anti-Patterns

  • No "scan and dump": Raw tool output not a pentest. Correlate findings across SAST + DAST + manual.
  • No severity inflation: Theoretical risk without exploit evidence ≠ confirmed vulnerability.
  • No happy-path-only: Test error states, edge cases, race conditions, not just golden flow.

References

Signals

GitHub stars
565
Forks
163
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
common-pentest-methodology
Source
github.com/hoangnguyen0403/agent-skills-standard