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pentest

pentest

PTES-aligned adversarial security audit for backend, frontend, and mobile applications. Produces a CVSS-scored Hacker Report with verified PoCs and phased remediation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: pentest description: "PTES-aligned adversarial security audit for backend, frontend, and mobile applications. Produces a CVSS-scored Hacker Report with verified PoCs and phased remediation." metadata: internal: true triggers: keywords: - pentest - workflow

Pentest Skill

[!IMPORTANT] PTES-aligned adversarial security audit for backend, frontend, and mobile applications. Produces a CVSS-scored Hacker Report with verified PoCs and phased remediation.

Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.

Instructions

When the user asks to perform this workflow, execute the following steps:

🕵️‍♂️ Penetration Test (PTES-Aligned)

Goal: Execute a red-team assessment across backend, frontend, and mobile targets with verified PoCs and audit-grade evidence.

Steps

  1. Scope and authorization:

    • Determine mode (whitebox, greybox, blackbox) and targets.
    • Verify explicit, current authorization, target exclusions, permitted techniques, time window and stop contact. Require demonstrated runtime controls for live actions; unsupported controls block execution, not offline planning.
  2. Intel and threat model:

    • Identify stack, endpoints, parameters, local storage, schemes, and secrets.
    • Use common-security-audit, common-dast-tooling, and architecture docs when available.
    • Map trust boundaries, secrets, external integrations, and privileged workflows before exploit attempts.
  3. Vulnerability analysis:

    • Run scans and delegate: SAST/SCA to specialist-aspm-correlator, dynamic/logic to specialist-logic-hacker, binary/mobile to specialist-mobile-reverser.
    • Rank targets by exposure × sensitivity × auth_coverage.
  4. Exploit verification:

    • Confirm findings only with reproducible evidence within scope; never force unsafe exploitation.
    • Preserve suspected, blocked, not-tested and false-positive dispositions separately from confirmed; record missing evidence, preconditions and blast radius.
    • Use synthetic identities/data; no real sensitive-data extraction. Stop on scope drift or impact; obtain approval before restarting.
  5. Reporting:

    • Write artifacts/security-review.md with assumptions, source provenance, review context, runtime contract, PoCs, blast radius, finding confidence, exploit path, evidence gaps, and handoff notes.
    • Emit artifacts/security-review.dev.md, artifacts/security-review.appsec.md, or artifacts/security-review.exec.md only when leadership, client, or AppSec reporting is in scope.
    • Score from 100: Critical -25 (cap 25), High -15 (cap 40), Medium -8, Low -3.
    • Reuse the existing security-review.md record when pentest follows earlier design or PR security review work.
    • Deliver findings in the standard template below.

Output Template

Executive Summary

  • Hacker Score: X/100 ([Critical/Vulnerable/Moderate/Hardened])
  • Target Scope: [repos, URLs, mobile apps]
  • Findings: [Critical/High/Medium/Low counts]

Findings Table

IDTitlePlatformSeverityCVSSCWEPoC
SEC-01[title][backend|frontend|mobile][Critical|High|Medium|Low][score][CWE-id][Yes|No]
Gespeicherte Skills