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Ctf Web

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ljagiello
ctf-web

Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.

Overview

Publisherljagiello
Repositoryctf-skills
Skill namectf-web
Stars
3.3K
Forks
380
Bundled files
23
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.

  • 23 bundled files

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

  • Open source

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

Installation

Install the Ctf Web 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/ljagiello/ctf-skills.git /tmp/ctf-skills
mkdir -p .claude/skills
cp -r /tmp/ctf-skills/ctf-web .claude/skills/ctf-web
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ctf Web 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 Ctf Web 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 Ctf Web 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.

CTF Web Exploitation

Use this skill as a routing and execution guide for web-heavy challenges. Keep the first pass short: map the app, confirm the trust boundary, and only then dive into the detailed technique notes.

Prerequisites

Python packages (all platforms):

bash
pip install sqlmap flask-unsign requests httpx

Linux (apt):

bash
apt install hashcat jq curl

macOS (Homebrew):

bash
brew install hashcat jq curl

Go tools (all platforms, requires Go):

bash
go install github.com/ffuf/ffuf/v2@latest

Manual install:

  • ysoserial — GitHub, requires Java (Java deserialization payloads)
  • PayloadsAllTheThings — git clone to ctf-web/payloads/PayloadsAllTheThings (auto via install script or lazy clone)
    bash
    bash scripts/install_ctf_tools.sh pat   # PAT only
    bash scripts/install_ctf_tools.sh all   # all tools including PAT
    # manual fallback:
    git clone --depth 1 https://github.com/swisskyrepo/PayloadsAllTheThings.git ctf-web/payloads/PayloadsAllTheThings

    PAT is optional and on-demand — not required at load time. The skill works without it (graceful degrade): pat-reference.md provides an offline index with exemplar payloads; bulk wordlists require the clone above.

Additional Resources

  • sql-injection.md - SQL injection techniques: auth bypass, UNION extraction, filter bypasses, second-order SQLi, truncation, race-assisted leaks, INSERT ON DUPLICATE KEY UPDATE password overwrite, innodb_table_stats WAF bypass
  • server-side.md - PHP type juggling, php://filter LFI, Python str.format traversal, SSTI (Jinja2, Twig, ERB, Mako, EJS, Vue.js, Smarty), SSRF (Host header, DNS rebinding, curl redirect, unescaped-dot regex, SNI FTP smuggling, mod_vhost_alias), PHP hash_hmac NULL
  • server-side-2.md - XXE (basic, OOB, DOCX upload), XML injection via X-Forwarded-For, PHP variable variables, PHP uniqid predictable filename, sequential regex replacement bypass, command injection (newline, blocklist, sendmail CGI, multi-barcode, git CLI), GraphQL injection (introspection, batching, interpolation)
  • server-side-exec.md - Direct code execution paths, upload-to-RCE, deserialization-adjacent execution, LaTeX injection, header and API abuses
  • server-side-exec-2.md - More execution chains: SQLi fragmentation, path parser tricks, polyglot uploads, wrapper abuse, filename injection, BMP pixel webshell with filename truncation
  • server-side-deser.md - Java/Python/PHP deserialization and race-condition playbooks, PHP SoapClient CRLF SSRF via deserialization
  • server-side-advanced.md - Advanced SSRF, traversal, archive, parser, framework, and modern app-server issues, Nginx alias traversal
  • server-side-advanced-2.md - Docker API SSRF, Castor/XML, Apache expression reads, parser discrepancies, Windows path tricks, rogue MySQL server file read
  • server-side-advanced-3.md - Part 3 (CSAW/35C3/ASIS/PlaidCTF 2018): WAV polyglot upload, multi-slash URL path.startswith bypass, Xalan XSLT math:random() seed guess, SoapClient _user_agent CRLF method smuggling, gopher:/// no-host URL scheme bypass, SSRF credential leak via attacker-specified outbound URL
  • server-side-advanced-4.md - Part 4: WeasyPrint SSRF/file read (CVE-2024-28184), MongoDB regex/$where blind oracle, Pongo2 Go template injection, ZIP PHP webshell, basename() bypass, wget CRLF SSRF→SMTP, Gopher SSRF to MySQL blind SQLi, React Server Components Flight RCE (CVE-2025-55182), AMQP/TLS interception via sslsplit+arpspoof, CairoSVG XXE, Bazaar repo reconstruction
  • client-side.md - XSS, CSRF, cache poisoning, DOM tricks, admin bot abuse, request smuggling, paywall bypass
  • client-side-advanced.md - CSP bypasses, Unicode tricks, XSSI, CSS exfiltration, browser normalization quirks, postMessage null origin bypass
  • auth-and-access.md - Auth/authz bypasses, hidden endpoints, IDOR, redirect chains, subdomain takeover, AI chatbot jailbreaks
  • auth-and-access-2.md - Part 2 (2018-era): std::unordered_set bucket collision auth bypass, nodeprep.prepare Unicode homograph username collision, SRP A=0/A=N auth bypass, ArangoDB AQL MERGE privilege escalation
  • auth-jwt.md - JWT/JWE manipulation, weak secrets, header injection, key confusion, replay
  • auth-infra.md - OAuth/OIDC, SAML, CORS, CI/CD secrets, IdP abuse, login poisoning
  • node-and-prototype.md - Prototype pollution, JS sandbox escape, Node.js attack chains
  • web3.md - Solidity and Web3 challenge notes
  • cves.md - CVE-driven techniques you can match against challenge banners, headers, dependency leaks, or version strings
  • field-notes.md - Long-form exploit notes: quick references for SQLi, XSS, LFI, JWT, SSTI, SSRF, command injection, XXE, deserialization, race conditions, auth bypass, and multi-stage chains
  • python-requests.md - Python requests toolkit: session scaffold, Burp-Intruder-like fuzzer (sync + ThreadPoolExecutor + httpx async), payload deploy from pat-reference.md wordlists, header/param spray, cookie/JWT, proxy
  • pat-reference.md — PayloadsAllTheThings index: bulk payloads for XSS/SQLi/SSRF/SSTI/LFI/Command Injection/Upload (requires PAT clone, see Prerequisites)

When to Pivot

  • If the target is a native binary, custom VM, or firmware image, switch to /ctf-reverse first.
  • If the HTTP bug only gives you code execution and the hard part becomes memory corruption or seccomp escape, switch to /ctf-pwn.
  • If the "web" challenge really turns on JWT math, custom MACs, or crypto primitives, switch to /ctf-crypto.
  • If the web challenge involves analyzing logs, PCAPs, or recovering artifacts from a web server, switch to /ctf-forensics.
  • If the challenge requires gathering intelligence from public web sources, DNS records, or social media before exploitation, switch to /ctf-osint.

First-Pass Workflow

  1. Identify the real boundary: browser only, backend only, mixed app, or auth flow.
  2. Capture one normal request/response pair for every major feature before fuzzing.
  3. Enumerate hidden functionality from JS bundles, response headers, routes, and alternate methods.
  4. Classify the likely bug family: injection, authz, parser mismatch, upload, trust proxy, state machine, or client-side execution.
  5. Build the smallest proof first: leak, bypass, or primitive. Save full exploit chaining for later.

Bulk payloads (PayloadsAllTheThings — on-demand)

This skill works without PAT at load time (graceful degrade): pat-reference.md and inline exemplars are available offline; bulk payloads require a PAT clone. After mapping the trust boundary (First-Pass Workflow), check pat-reference.md for the PAT directory that matches your bug class, then search bulk payloads:

bash
# PAT payload search (requires PAT clone — see Prerequisites; gracefully skipped if missing)
ls ctf-web/payloads/PayloadsAllTheThings 2>/dev/null | head
grep -R "onerror" "ctf-web/payloads/PayloadsAllTheThings/XSS Injection" 2>/dev/null | head

Or via agent tools (no clone required for the index itself):

Glob ctf-web/payloads/PayloadsAllTheThings/**/*.md
Grep "union select" ctf-web/payloads/PayloadsAllTheThings

If ctf-web/payloads/PayloadsAllTheThings/.git is missing, the agent lazy-clones on demand:

bash
[ -d "ctf-web/payloads/PayloadsAllTheThings/.git" ] || git clone --depth 1 https://github.com/swisskyrepo/PayloadsAllTheThings.git ctf-web/payloads/PayloadsAllTheThings

Quick Start Commands

bash
# Recon
curl -sI https://target.com
ffuf -u https://target.com/FUZZ -w wordlist.txt
curl -s https://target.com/robots.txt

# SQLi quick test
sqlmap -u "https://target.com/page?id=1" --batch --dbs

# JWT decode (no verification)
echo '<token>' | cut -d. -f2 | base64 -d 2>/dev/null | jq .

# Cookie decode (Flask)
flask-unsign --decode --cookie '<cookie>'
flask-unsign --unsign --cookie '<cookie>' --wordlist rockyou.txt

# SSTI probes
curl "https://target.com/page?name={{7*7}}"
curl "https://target.com/page?name={{config}}"

# Request inspection
curl -v -X POST https://target.com/api -H "Content-Type: application/json" -d '{}'

First Questions to Answer

  • Is the flag likely in the browser, an API response, a local file, a database row, or an internal service?
  • Does the app trust user-controlled data in templates, redirects, file paths, headers, serialized objects, or background jobs?
  • Are there multiple parsers disagreeing with each other: proxy vs app, URL parser vs fetcher, sanitizer vs browser, serializer vs filter?
  • Can you turn the bug into a smaller primitive first: read one file, forge one token, call one internal endpoint, trigger one bot visit?

High-Value Recon Checks

  • Read the HTML, inline scripts, and bundled JS before guessing the API surface.
  • Compare what the UI submits with what the backend accepts; optional JSON fields often unlock hidden paths.
  • Check obvious metadata and helper paths early: /robots.txt, /sitemap.xml, /.well-known/, /admin, /debug, /.git/, /.env.
  • Try alternate verbs and content types on interesting routes: GET, POST, PUT, PATCH, TRACE, JSON, form, multipart, XML.
  • Treat file upload, PDF/export, webhook, OAuth callback, and admin bot features as likely exploit multipliers.

Fast Pattern Map

Common Chain Shapes

  • Recon -> hidden route -> auth bypass -> internal file read -> token or flag
  • XSS or HTML injection -> admin bot -> privileged action -> secret leak
  • Traversal or upload -> config/source leak -> secret recovery -> session forgery
  • SSRF -> metadata or internal API -> credential leak -> code execution
  • SQLi or NoSQL injection -> credential bypass -> second-stage template or upload abuse

Deep-Dive Notes

Use field-notes.md once you have confirmed the challenge is truly web-heavy and you need the long exploit catalog.

  • Recon, SQLi, XSS, traversal, JWT, SSTI, SSRF, XXE, and command injection quick notes
  • Deserialization, race conditions, file upload to RCE, and multi-stage chain examples
  • Node, OAuth/SAML, CI/CD, Web3, bot abuse, CSP bypasses, and modern browser tricks
  • CVE-shaped playbooks and older challenge patterns that still show up in modern CTFs

Common Flag Locations

  • Files: /flag.txt, /flag, /app/flag.txt, /home/*/flag*
  • Environment: /proc/self/environ, process command line, debug config dumps
  • Database: tables named flag, flags, secret, or seeded challenge content
  • HTTP: custom headers, archived responses, hidden routes, admin exports
  • Browser: hidden DOM nodes, data-* attributes, inline state objects, source maps

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 Ctf Web AI skill do?

Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.

Why use Ctf Web on TypingMind?

Because you install it once and use it with any model. Ctf Web 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 Ctf Web in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ljagiello/ctf-skills/tree/main/ctf-web. 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 Ctf Web?

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 Ctf Web?

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

Is the Ctf Web AI skill free?

Yes. It is published on GitHub by ljagiello 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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