Attack Patterns Reference logo

Attack Patterns Reference

CommunityPopular
uphiago
attack-patterns-reference

Use when classifying a verified web or WordPress behavior and selecting a related validation skill.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill nameattack-patterns-reference
Stars
1.3K
Forks
213
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 uphiago on GitHub. Read the source before you install it.

Installation

Install the Attack Patterns Reference 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/attack-patterns-reference .claude/skills/attack-patterns-reference
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Attack Patterns Reference 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 Attack Patterns Reference 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 Attack Patterns Reference 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.

Attack Patterns Reference

This catalog maps observed web and WordPress behavior to the skill that owns its validation. Pattern IDs are navigation labels. They do not establish exploitability, severity, prevalence, or a confirmed attack path.

When to Use

  • A recon result needs to be classified before focused testing.
  • Several verified behaviors may form a candidate attack path.
  • A WordPress, CORS, XML-RPC, source-leak, or exposed-service signal needs an owning validation procedure.

Do not use the catalog as a scanner finding list or a substitute for the verification section of the owning skill.

Prerequisites

  • An authorized target and current scope constraints.
  • Captured evidence for the observation being classified.
  • The tools and identities required by the selected follow-up skill.

How to Run

  1. Match the observed behavior to the closest pattern.
  2. Open the owning skill listed in the table.
  3. Check its prerequisites and side effects.
  4. Run the smallest validation and negative control that can falsify the hypothesis.
  5. Record the result as observed, inferred, confirmed, or not tested.

Procedure

General Web Patterns

PatternInitial signalOwning skill
WordPress user exposureREST or author route returns user metadatawp-mass-recon
Credentialed CORSUntrusted origin reflected with credentialscors-credential-wordpress
XML-RPC methodsProtocol-valid system.listMethods responsexmlrpc-exploitation
XML-RPC SSRFpingback.ping reaches a controlled callbackxmlrpc-exploitation
Public registrationRegistration is enabledwp-mass-recon
Plugin surfaceREST namespace, asset, or version markerwordpress-plugin-hunt
Staging differenceNon-production host has weaker controlsstaging-subdomain-hunt
Exposed error logResponse contains real application errorserror-log-mining
PHPInfo exposurePHP configuration page is reachablephpinfo-to-rce
Source or backup leakResponse contains repository, configuration, or database contentsource-leak-hunt
JavaScript secret candidateBundle contains a credential-shaped valuejs-secrets-extraction
Public serviceNon-HTTP or administrative service is internet reachableport-service-discovery

See references/p-patterns.md for the extended pattern notes.

CORS Variants

VariantInitial signalRequired validation
Origin reflection with credentialsUntrusted origin plus ACAC: trueCredentialed browser reads non-public data
Null-origin trustACAO: null plus ACAC: trueSandboxed browser reads non-public data
Wildcard without credentialsACAO: *Determine whether the response is already public
Credentialed preflightOPTIONS accepts origin, method, and headersActual request succeeds and browser exposes response
Auth-route CORSCORS headers appear on a protected routeApproved session returns readable protected data
Plugin-specific CORSOnly one plugin namespace accepts the originResponse contains protected data or performs an authorized test action
Environment-specific CORSStaging and production policies differDemonstrate impact in the authorized environment
Third-party allowlistOne external service origin is trustedEstablish control of that origin and protected-data access

Candidate Attack Paths

These are composition templates, not confirmed findings:

PathPreconditions that must be verified
CORS to protected-data readApproved session, untrusted origin, browser-readable non-public response
XML-RPC SSRF to cloud metadataControlled callback, reachable metadata service, usable secondary impact
Open registration to uploadApproved synthetic account, upload-capable role, executable file path
Exposed log to account accessCurrent credential material, approved identity, valid authentication control
Staging exposure to production impactShared trust boundary, reusable secret or deployment path, explicit scope

Use cross-attack-chains only after every prerequisite is independently verified.

Pitfalls

  • Historical frequency is not evidence about the current target.
  • A product name, version, status code, or header does not prove impact.
  • A catch-all route can make sensitive paths appear reachable.
  • Public client identifiers and intentionally public APIs are not automatically credentials or authorization failures.
  • Pattern prerequisites change across product and plugin versions.
  • An attack path inherits the uncertainty of its weakest step.

Verification

  • Match every pattern to captured request and response evidence.
  • Run a negative control that distinguishes the result from public or generic behavior.
  • Use a browser for CORS impact; headers alone are insufficient.
  • Use a controlled callback for blind SSRF; a protocol status alone is insufficient.
  • Use exact component and prerequisite checks before associating a CVE.
  • Report only the impact reproduced within scope.

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 Attack Patterns Reference AI skill do?

Use when classifying a verified web or WordPress behavior and selecting a related validation skill.

Why use Attack Patterns Reference on TypingMind?

Because you install it once and use it with any model. Attack Patterns Reference 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 Attack Patterns Reference in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/meta/attack-patterns-reference. 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 Attack Patterns Reference?

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 Attack Patterns Reference?

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

Is the Attack Patterns Reference 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.

View all

Set up your own AI workspace now

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