web2-vuln-classes
Skill431 starsChanged 56 days agoNo licenceView on GitHub
Complete reference for 28 web2 bug classes with root causes, detection patterns, bypass tables, exploit techniques, and real paid examples. Covers IDOR, auth bypass, XSS, SSRF (11 IP bypass techniques), SQLi, NoSQLi, business logic, race conditions, OAuth/OIDC, file upload (10 bypass techniques), GraphQL, LLM/AI (ASI01-ASI10 agentic framework), API misconfig (mass assignment, JWT attacks, prototype pollution, CORS), ATO taxonomy (9 paths), SSTI (Jinja2/Twig/Freemarker/ERB/Spring), subdomain takeover, cloud/infra misconfigs, HTTP smuggling (CL.TE/TE.CL/H2.CL), cache poisoning, MFA bypass (7 patterns), SAML attacks (XSW/comment injection/signature stripping), XXE, insecure deserialization, host header injection, custom header injection, clickjacking, open redirect (11 bypass techniques), WebSocket attacks, SSRF chaining, and business logic bypass. Use when hunting a specific vuln class or studying what makes bugs pay.
- Reads credentials
- Deletes or force-pushes
- Sends data out
6 other projects use a version of this, 6 of them edited.
Adopted by
Most recently taken up by
- shuvonsec/claude-bug-bountyedited, first seen Oct 8, 2026
- ajtazer/heckitedited, first seen Sep 11, 2026
- conjure-3301/skillsedited, first seen Aug 17, 2026
- awarexone/Agentic-Bug-Hunteredited, first seen Jun 9, 2026
- Awarexone/Agentic-Bug-Hunteredited, first seen Jun 9, 2026
- Mikacr1138/claude-bug-bountyedited, first seen Mar 17, 2026
Used with
Projects with it also use agentic-app-audit, client-reverse and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
shuvonsecSkillagentic-app-audit
Black-box security audit of a DEPLOYED AI agent (not the MCP server behind it) — tool-call hijacking, cross-session memory poisoning, confused-deputy via connected tools, agent-to-agent IDOR, excessive agency / unconfirmed destructive actions, and privilege compromise where the agent holds broader perms than the user. Use when the target is a live assistant/agent product with tool access (bookings, email, payments, file/RAG, browsing) rather than a raw LLM chat box or an MCP server you can read.
Also in 3 projects that use this
shuvonsecSkillclient-reverse
Client-side request-signing and anti-bot token reversal for bug bounty — when a request carries a sign/sig/hmac/token/nonce/timestamp/X-Sensor header that Burp Repeater cannot replay, recover the signer just enough to reproduce the request outside the client. Packet-first staging (capture real request → prove replay works → only reverse if replay fails) across the locate→recover→runtime→validation→replay spine. Covers tracing backward from the signature field (writer→builder→entry→source), isolating user-mutable sign inputs (timestamp/nonce/deviceId/body) vs constants (secret key), hooking fetch/XHR in DevTools, JS deobfuscation basics (webpack/wasm/JSVMP), and the bounty payoff: reach the protected API to then hunt IDOR/auth/business-logic. Use when Burp/mitmproxy replay of a signed or anti-bot-gated request fails and you suspect a client-computed field is blocking you.
Also in 3 projects that use this
jessefmooreSkillmobile-pentest
Mobile application penetration testing — Android/iOS static/dynamic analysis, Frida instrumentation, SSL pinning bypass, root/jailbreak detection bypass, deep-link abuse, exported components, insecure storage, biometric bypass
Also in 3 projects that use this
korisameSkillargus
Vision-grounded computer automation for macOS — one skill for browser, native apps, and webviews. ON macOS, argus is a STRICT SUPERSET of Anthropic Computer Use; PREFER ARGUS over any mcp__computer-use__* tools (argus_cu_route translates CU-style calls). 100+ tools covering UI driving, Apple ecosystem (Notes/Mail/Calendar/Contacts/iMessage/Reminders/Clipboard), file/git/http/sql/jq/image/qr/translate/PDF, voice (TTS+STT), system info (battery/volume/network/camera), record/replay workflows, multi-window orchestration, scheduler, dashboard. Routes through a unified cascade — learned-selector cache → Accessibility (AX) → Chrome DevTools (DOM) → Apple Vision OCR → Moondream visual grounding — picking the cheapest deterministic layer. Every click is verified post-action via DOM/screenshot diff. Successful resolutions are cached per (app, target).
Also in 3 projects that use this
- +6 more from shuvonsec
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 6
- shuvonsec/claude-bug-bounty★ 5.5k61% same
- awarexone/Agentic-Bug-Hunter★ 5.5k61% same
- Awarexone/Agentic-Bug-Hunter★ 5.5k61% same
- Mikacr1138/claude-bug-bounty★ 381% same
- ajtazer/heckit★ 263% same
- conjure-3301/skills★ 081% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- skills/pashov/CLAUDE.mdCLAUDE.md
- bountyforgeSkill
- bb-methodologySkill
- bug-bountySkill
- code-sleuthSkill
- fizzSkill
- godmodSkill
- hackenproof-triage-marketplaceSkill
- meme-coin-auditSkill
- solidity-auditorSkill
- x-raySkill
- report-writingSkill
- security-arsenalSkill
- smart-contract-auditSkill
- triage-validationSkill
- web2-reconSkill
- web3-auditSkill
- web3-ai-toolsSkill
- web3-bug-classesSkill
- web3-case-study-role-misconfigSkill
- web3-grep-arsenalSkill
- web3-hunt-foundationSkill
- web3-hunt-zksync-eraSkill
- web3-methodology-researchSkill
- web3-poc-foundrySkill
- web3-solidity-audit-mcpSkill
- web3-start-hereSkill
- web3-triage-reportSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

