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Pentest Playbook

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uphiago
pentest-playbook

7-phase pentest pipeline from passive recon to exploitation.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namepentest-playbook
Stars
1.3K
Forks
213
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by uphiago on GitHub. Read the source before you install it.

Installation

Install the Pentest Playbook AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uphiago/recon-skills.git /tmp/recon-skills
mkdir -p .claude/skills
cp -r /tmp/recon-skills/meta/pentest-playbook .claude/skills/pentest-playbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pentest Playbook in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pentest Playbook on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pentest Playbook is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pentest Playbook Skill

7-phase master pentest pipeline covering the full lifecycle from passive reconnaissance to exploitation and reporting. Distilled from 100+ targets across government, healthtech, fintech, e-commerce, ISP, and SMB sectors. This is the "meta-playbook" — it tells you what to do at each stage of an engagement and which skills to load for each phase.

When to Use

  • Starting a new pentest engagement with an unknown target.
  • You need the canonical workflow for any type of target.
  • After surface recon — this playbook tells you what to do next.
  • Training — understand the full lifecycle of a professional pentest.

The 7-Phase Pipeline

PhaseNameFocusKey SkillsDuration
1Passive ReconOSINT, subdomains, leaks, tech stacksubdomain-enumeration, offensive-osint30-60 min
2Active ReconPort scans, live hosts, tech detectionport-mass-scan, port-service-discovery, web2-recon30-60 min
3Web EnumerationSensitive files, .env, CORS, JS secretsweb-enumeration, cors-credential-wordpress, js-secrets-extraction20-40 min
4Framework ExploitWordPress, Laravel, Spring, .NEThunt-wordpress, hunt-laravel, hunt-springboot, hunt-aspnet30-60 min
5Cloud & InfrastructureFirebase, Supabase, S3, Cloud Functionshunt-firebase, hunt-supabase, cloud-iam-deep30-60 min
6Deep ExploitationSQLi, SSRF, RCE, ATO, chainshunt-sqli, hunt-ssrf, cross-attack-chains1-4 hours
7Report & RemediationDocumentation, PoC, CVSS scoringreport-writing, triage-validation, evidence-hygiene1-3 hours

Per-Phase Procedure

Phase 1 — Passive Recon

bash
# 1. Subdomain enumeration
subfinder -d $TARGET -silent | tee subs.txt
curl --max-time 30 --connect-timeout 10 -s "https://crt.sh/?q=%.$TARGET&output=json" | jq -r '.[].name_value' >> subs.txt

# 2. Tech stack detection via response headers
curl --max-time 30 --connect-timeout 10 -sI "https://$TARGET" | grep -iE "server|x-powered-by|x-aspnet|x-generator|x-runtime"

# 3. Google dorks
# site:$TARGET filetype:env DB_PASSWORD
# site:$TARGET "-----BEGIN RSA PRIVATE KEY-----"

# 4. GitHub code search (SA keys, .env, credentials)
# See google-dorks-catalog skill for full list

Phase 2 — Active Recon

bash
# 1. Port scan (top 1000 ports)
rustscan -a $TARGET --ulimit 5000 -g | tee ports.txt

# 2. HTTP probe on alive hosts
cat subs.txt | httpx -silent -status-code -title -tech-detect | tee live.txt

# 3. CORS quick test
curl --max-time 30 --connect-timeout 10 -skI "https://$TARGET/wp-json/wp/v2/users" -H "Origin: https://evil.com" | grep -i "access-control"

Phase 3 — Web Enumeration

Run the full web-enumeration skill — 200+ sensitive file paths, .env extraction, path traversal bypass, vHost enum.

Phase 4 — Framework Exploitation

Load the relevant hunt-* skill based on detected framework:

  • WordPress: hunt-wordpress + wp-mass-recon
  • Laravel: hunt-laravel
  • Spring Boot: hunt-springboot
  • ASP.NET: hunt-aspnet

Phase 5 — Cloud & Infrastructure

  • Firebase: hunt-firebase (API key → Firestore → Storage)
  • Supabase: hunt-supabase (anon key → RLS bypass)
  • Cloud IAM: cloud-iam-deep (SA key → GCP token → IAM policy)
  • Docker: docker-privesc (if container access)

Phase 6 — Deep Exploitation

Chain findings using cross-attack-chains skill. The 5 confirmed chains (A-E) turn individual Medium/High findings into Critical impact.

Phase 7 — Report

Use report-writing skill for bug bounty or redteam-report-template for client deliverables. Apply triage-validation 7-question gate before submitting.

Lateral Pivot Decision Points (Critical Methodology)

When brute force / direct attacks aren't producing results, DO NOT persist — pivot to lateral discovery. This is the single most important judgment call in a pentest.

Pivot Triggers — Know When to Switch Vectors

SignalCurrent VectorPivot To
100+ passwords tested, zero hitsBrute force (login)SSRF, CORS, subdomain enum, API discovery, source leak, open registration, Firebase/Supabase
All common creds fail on MySQL/SSHDatabase/SSH bruteAPI discovery (port scan for HTTP services), JS bundle secrets, Firebase config, CORS exfil
WAF/403 on every payloadWeb exploitationCDN bypass (origin IP discovery), subdomain enum (staging/dev may lack WAF), API on non-standard ports, HTTP method/header tampering
rate limit / captcha / lockoutAuth bruteSameSite bypass, OAuth misconfig, MFA fatigue, password-reset poisoning, SSO token reuse
401/403 on all API endpointsAPI exploitationOPTIONS preflight, method tampering (GET→POST, PUT→PATCH), content-type switching (JSON→XML→form), header injection (X-Forwarded-User, X-Original-URL), JWT alg=none
SPA returns same HTML for all pathsPath enumerationCheck API on other ports (8080, 8443, 3000, 5000, 8084), JS bundle route extraction, source maps, Firebase/Supabase, CORS exfil
No vulns found on main appApp exploitationSister apps (same IP/cert/headers → same code), subdomains, staging/dev instances, mobile APKs, CMS admin panels, forum/community software

Lateral Discovery Checklist (run this when stuck)

When a vector isn't paying off, systematically check these BEFORE declaring the target clean:

  1. Ports beyond top-20 — nmap -p- on critical targets, masscan on /24 ranges
  2. Non-standard API ports — 8080, 8081, 8084, 8443, 3000, 5000, 9090, 9000
  3. Subdomains — subfinder + crt.sh (staging, dev, admin, api, mail, cpanel, shop)
  4. JS bundle secrets — Firebase API keys, AWS/GCP credentials, internal endpoints, JWTs
  5. Open registration — wp-login.php?action=register, /signup, /register endpoints
  6. CORS exfiltration — ACAO reflection + ACAC:true = browser-readable data from authenticated victims
  7. Firebase / Supabase — API key in JS → anonymous auth → Firestore/RTDB read
  8. Error logs — /error_log, /debug.log, /wp-content/debug.log (often 1MB+ of paths, SQL, creds)
  9. Source code leaks — .git/HEAD, .env, sitemap.xml, robots.txt disallow paths, source maps
  10. Sister-app sweep — same IP / cert / headers → same vulnerable code template on other paths

The 3-Attempt Rule

Before spending more than 5 minutes on any SINGLE attack vector:

  1. Try the primary approach (e.g., 100 pwds via multicall)
  2. Try one lateral pivot (e.g., check open registration)
  3. Try one creative alternative (e.g., check CORS, Firebase, JS secrets)

If none worked in 3 distinct attempts, the vector is low-probability. Document what was tried and move on. Do NOT cycle back to the same vector with more of the same — find a qualitatively different angle.

Anti-Pattern: The Brute Force Trap

"Let me just try 100 more passwords..."
"Maybe I need a bigger wordlist..."
"Let me try one more round..."

🚫 STOP. If the first 100 targeted passwords didn't work, the next 10,000 won't either (for real-world passwords). Instead:

  • Check if there's ANY authentication at all (CORS no-auth endpoints)
  • Check if registration is open (create your own account)
  • Check if the auth uses JWTs you can forge (alg=none, weak HMAC)
  • Check if there's a different auth path (SSO, OAuth, SAML)
  • Move on to a different target entirely

Pitfalls

  • Don't skip Phase 1. Many critical findings come from passive recon (source leaks, GitHub SA keys).
  • Don't spend more than 15 min on Phase 2. Quick filter is enough — save deep probing for Phase 6.
  • OPSEC is not optional. Use proxy-ns or proxychains + Tor from the start. Never burn your source IP.
  • .env is not always a finding. Verify content contains actual credentials (DB_, APP_KEY), not just SPA catch-all HTML.
  • Document as you go. Don't wait until Phase 7 — you'll forget exact commands.
  • Don't brute-force past the pivot trigger. 100 targeted passwords per vector is the max before lateralizing.

Verification

  • Each phase has a clear exit criterion (e.g., "score >= 6 → escalate to Phase 6").
  • Every finding must be reproducible with the exact command.
  • All findings must pass the 7-question gate before reporting.

Frequently asked questions

What does the Pentest Playbook AI skill do?

7-phase pentest pipeline from passive recon to exploitation.

Why use Pentest Playbook on TypingMind?

Because you install it once and use it with any model. Pentest Playbook is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pentest Playbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/meta/pentest-playbook. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pentest Playbook?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pentest Playbook?

As many as you like. As long as a model supports skills, you can use Pentest Playbook with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pentest Playbook AI skill free?

Yes. It is published on GitHub by uphiago under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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