Wooyun Legacy logo

Wooyun Legacy

Organization
trailofbits
wooyun-legacy

Provides web vulnerability testing methodology distilled from 88,636 real-world cases from the WooYun vulnerability database (2010-2016). Use when performing penetration testing, security audits, code reviews for security flaws, or vulnerability research. Covers SQL injection, XSS, command execution, file upload, path traversal, unauthorized access, information disclosure, and business logic flaws.

Overview

Publishertrailofbits
Repositoryskills-curated
Skill namewooyun-legacy
Stars
513
Forks
35
Bundled files
24
LicenseCC-BY-SA-4.0
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.

  • 24 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Wooyun Legacy 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.
    https://github.com/trailofbits/skills-curated/tree/main/plugins/wooyun-legacy/skills/wooyun-legacy
  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/trailofbits/skills-curated.git /tmp/skills-curated
mkdir -p .claude/skills
cp -r /tmp/skills-curated/plugins/wooyun-legacy/skills/wooyun-legacy .claude/skills/wooyun-legacy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wooyun Legacy 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 Wooyun Legacy 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 Wooyun Legacy 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.

WooYun Vulnerability Analysis Knowledge Base

Methodology and testing patterns extracted from 88,636 real-world vulnerability cases reported to the WooYun platform (2010-2016).


When to Use

All testing described here must be performed only against systems you have written authorization to test.

  • Penetration testing web applications
  • Security code review (server-side or client-side)
  • Vulnerability research against web targets you have explicit authorization to test
  • Building security test cases or checklists
  • Assessing web application attack surface
  • Reviewing remediation effectiveness
  • Training or education in authorized security testing contexts

When NOT to Use

  • Network infrastructure testing (firewalls, routers, switches)
  • Mobile application binary analysis
  • Malware analysis or reverse engineering
  • Compliance-only assessments (PCI-DSS, SOC2 checklists without testing)
  • Physical security assessments
  • Social engineering campaigns
  • Cloud infrastructure misconfigurations (IAM, S3 buckets) — these require cloud-specific tooling, not web vuln patterns

Rationalizations to Reject

These shortcuts lead to missed findings. Reject them:

  • "The WAF will catch it" — WAFs are bypass-able; test the application logic, not the middleware
  • "It's an internal app, so auth doesn't matter" — internal apps get compromised via SSRF, lateral movement, and credential reuse
  • "We already use parameterized queries everywhere" — check for ORM misuse, stored procedures with dynamic SQL, and second-order injection
  • "The framework handles XSS" — template engines have raw output modes, JavaScript contexts bypass HTML encoding, and DOM XSS lives entirely client-side
  • "File uploads are safe because we check the extension" — extension checks are bypassed via null bytes, double extensions, parser discrepancies, and race conditions
  • "We validate on the frontend" — client-side validation is a UX feature, not a security control
  • "Nobody would guess that URL" — security through obscurity fails against directory bruteforcing, referrer leaks, and JS source analysis
  • "Low severity, not worth reporting" — low-severity findings chain into critical attack paths

Core Mental Model

Vulnerability = Expected Behavior - Actual Behavior
             = Developer Assumptions + Attacker Input -> Unexpected State

Analysis chain:
1. Where does data come from?  (Input sources)
   -> GET/POST/Cookie/Header/File/WebSocket
2. Where does data flow?       (Data path)
   -> Validation -> Processing -> Storage -> Output
3. Where is data trusted?      (Trust boundaries)
   -> Client / Server / Database / OS / External service
4. How is data processed?      (Processing logic)
   -> Filter / Escape / Validate / Execute
5. Where does data end up?     (Output sinks)
   -> HTML / SQL / Shell / Filesystem / Log / Email

Attack Surface Mapping

              +-------------------------------------------+
              |         Application Attack Surface         |
              +-------------------------------------------+
                                  |
          +-----------------------+-----------------------+
          |                       |                       |
     +----v----+            +-----v-----+           +-----v-----+
     |  Input  |            | Processing|           |  Output   |
     +---------+            +-----------+           +-----------+
     | GET     |            | Input     |           | HTML page |
     | POST    |    ->      | validation|    ->     | JSON resp |
     | Cookie  |            | Biz logic |           | File DL   |
     | Headers |            | DB query  |           | Error msg |
     | File    |            | File op   |           | Log entry |
     | Upload  |            | Sys call  |           | Email     |
     +---------+            +-----------+           +-----------+

SQL Injection

Cases: 27,732 | Reference: sql-injection.md | Checklist: sql-injection-checklist.md

High-risk parameters: id, sort_id, username, password, search, keyword, page, order, cat_id

Injection point detection:

  • String terminators: ' " ) ') ") -- # /*
  • DB fingerprint: @@version (MSSQL), version() (MySQL), v$version (Oracle)

Bypass techniques:

  • Whitespace: /**/ %09 %0a ()
  • Keywords: SeLeCt sel%00ect /*!select*/
  • Equals: LIKE REGEXP BETWEEN IN
  • Quotes: 0x hex, char(), concat()

Core defense: parameterized queries (PreparedStatement / ORM binding).


Cross-Site Scripting (XSS)

Cases: 7,532 | Reference: xss.md | Checklist: xss-checklist.md

Output points: user profile fields (nickname, bio), search reflections, file metadata (filename, alt text), email content (subject, body)

Bypass techniques:

  • Tag mutation: <ScRiPt> <script/x> <script\n>
  • Event handlers: onerror onload onmouseover onfocus
  • Encoding: HTML entities, JS Unicode, URL encoding
  • Protocol handlers: javascript: data: vbscript:

Core defense: context-aware output encoding + Content Security Policy.


Command Execution

Cases: 6,826 | Reference: command-execution.md | Checklist: command-execution-checklist.md

Entry points: system command wrappers (ping, traceroute, nslookup), file operations (compress, decompress, image processing), code eval (eval, assert, preg_replace(/e)), framework vulnerabilities (Struts2, WebLogic, JBoss)

Command chaining:

  • Linux: ; | || && \ $()`
  • Windows: & | || &&

Bypass techniques:

  • Whitespace: ${IFS} $IFS$9 %09 < <>
  • Keywords: ca\t ca''t c$@at /???/??t
  • Encoding: $(printf "\x63\x61\x74"), `echo Y2F0|base64 -d`

Core defense: avoid shell invocation; use execFile over exec, allowlist acceptable inputs.


File Upload

Cases: 2,711 | Reference: file-upload.md | Checklist: file-upload-checklist.md

Bypass detection:

  • Client-side validation: modify JS or send request directly
  • Content-Type: image/gif header + PHP code body
  • Extension: .php5 .phtml .pht .php. .php::$DATA
  • Content inspection: GIF89a + <?php or image-based webshell
  • Parser discrepancy: /upload/1.asp;.jpg (IIS 6.0)

Parser-specific vulnerabilities:

  • IIS 6.0: /test.asp/1.jpg, test.asp;.jpg
  • Apache: .php.xxx (unknown extension fallback)
  • Nginx: /1.jpg/1.php (cgi.fix_pathinfo)
  • Tomcat: test.jsp%00.jpg

Core defense: allowlist extensions, rename uploads, store outside webroot, validate content type server-side.


Path Traversal

Cases: 2,854 | Reference: path-traversal.md | Checklist: path-traversal-checklist.md

High-risk parameters: file, path, filename, url, dir, template, page, include, download

Traversal payloads:

  • Basic: ../../../etc/passwd
  • Encoded: %2e%2e%2f, ..%252f, %c0%ae%c0%ae/
  • Null byte: ../../../etc/passwd%00.jpg
  • Windows: ..\..\..\windows\win.ini

Target files (Linux): /etc/passwd, /etc/shadow, /proc/self/environ, /var/log/apache2/access.log

Core defense: resolve canonical paths, validate against allowlisted directories, never use user input in file paths directly.


Unauthorized Access

Cases: 14,377 | Reference: unauthorized-access.md | Checklist: unauthorized-access-checklist.md

Access types:

  • Admin panel exposure: /admin, /manager, /console
  • API without authentication: missing token validation, predictable tokens
  • Exposed services: Redis (6379), MongoDB (27017), Elasticsearch (9200), Memcached (11211), Docker (2375)
  • IDOR: horizontal privilege escalation via ID enumeration

Core defense: authentication + authorization on every endpoint, session management, principle of least privilege.


Information Disclosure

Cases: 7,337 | Reference: info-disclosure.md | Checklist: info-disclosure-checklist.md

Disclosure sources: error messages with stack traces, exposed .git or .svn directories, backup files (.bak, .sql, .tar.gz), configuration files, debug endpoints, directory listings

Core defense: custom error pages, disable directory listing, remove debug endpoints in production, audit publicly accessible files.


Business Logic Flaws

Cases: 8,292 | Reference: logic-flaws.md | Checklist: logic-flaws-checklist.md

Vulnerability patterns:

  • Password reset: verification code in response body, step skipping, controllable reset tokens
  • Authorization bypass: horizontal (ID enumeration), vertical (role escalation)
  • Payment logic: amount tampering, quantity manipulation, coupon stacking
  • CAPTCHA: not refreshed, reusable, brute-forceable, client-side only

Testing approach:

  1. Map the business flow -> draw state transition diagram
  2. Identify critical checks -> which parameters determine outcomes
  3. Attempt bypass -> modify parameters / skip steps / replay / race
  4. Verify impact -> prove the scope of harm

Core defense: server-side validation of all business-critical logic.


Additional Categories

These categories are derived from case data without full reference documents. Each has a testing checklist extracted from real cases.

CategoryChecklist
CSRFcsrf-checklist.md
SSRFssrf-checklist.md
Weak Passwordsweak-password-checklist.md
Misconfigurationmisconfig-checklist.md
Remote Code Executionrce-checklist.md
XML External Entity (XXE)xxe-checklist.md

Note: The RCE checklist covers deserialization, OGNL injection, and framework-specific remote code execution — distinct from the OS command injection focus of the Command Execution reference above.


Methodology Case Studies

Real-world penetration testing methodology examples (anonymized):

Case StudyDescription
bank-penetration.mdMulti-stage attack chain against a financial institution
telecom-penetration.mdInfrastructure penetration of a telecom carrier

These demonstrate how individual vulnerabilities chain together into full compromise scenarios.


Testing Priority Framework

High Priority (test first)

  1. SQL Injection — direct data access, highest case count (27,732)
  2. Command Execution — OS-level compromise
  3. File Upload — arbitrary code execution via webshell

Medium Priority

  1. Unauthorized Access — second-highest case count (14,377)
  2. Business Logic Flaws — application-specific, hard to automate
  3. XSS — session hijacking, phishing

Lower Priority (but still important)

  1. Path Traversal — file read, sometimes write
  2. Information Disclosure — reconnaissance value, enables chaining
  3. CSRF/SSRF/XXE — context-dependent severity

Defense Quick Reference

VulnerabilityCore DefenseImplementation
SQL InjectionParameterized queriesPreparedStatement / ORM
XSSOutput encodingContext-aware escaping + CSP
Command ExecutionAvoid shellexecFile not exec, allowlist
File UploadStrict validationAllowlist ext, rename, isolate
Path TraversalCanonical pathsResolve + validate against allowlist
Unauthorized AccessAccess controlAuthN + AuthZ + session mgmt
Logic FlawsServer-side checksValidate all business logic server-side
Info DisclosureMinimize exposureCustom errors, no debug in prod

Key Insight

All 88,636 vulnerabilities in this database share a common root cause: the gap between what developers assumed and what attackers actually provided. Effective security testing means systematically challenging every assumption at every trust boundary.

Four principles from the data:

  1. Boundary thinking — all vulnerabilities occur at trust boundaries
  2. Data flow tracing — follow data from input to output completely
  3. Assumption challenging — question every "obvious" validation
  4. Chain composition — individual low-severity findings combine into critical attack paths

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wooyun Legacy AI skill do?

Provides web vulnerability testing methodology distilled from 88,636 real-world cases from the WooYun vulnerability database (2010-2016). Use when performing penetration testing, security audits, code reviews for security flaws, or vulnerability research. Covers SQL injection, XSS, command execution, file upload, path traversal, unauthorized access, information disclosure, and business logic flaws.

Why use Wooyun Legacy on TypingMind?

Because you install it once and use it with any model. Wooyun Legacy 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 Wooyun Legacy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills-curated/tree/main/plugins/wooyun-legacy/skills/wooyun-legacy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wooyun Legacy?

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 Wooyun Legacy?

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

Is the Wooyun Legacy AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇