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security-patterns

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UpdatedMay 22, 2026 at 15:43

Reusable attack patterns distilled from disclosed vulnerability reports. Use when hunting for vulnerabilities to understand common exploitation chains, or when you're stuck and need to think about what typically goes wrong in a given feature type.

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JesusConwellpy

JesusConwellpy/ai-security-methodology

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Related occupationsSOC

Based on SOC occupation classification

Information Security AnalystsComputer and Mathematical Occupations·SOC 15-1212

SKILL.md

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name	security-patterns
description	Reusable attack patterns distilled from disclosed vulnerability reports. Use when hunting for vulnerabilities to understand common exploitation chains, or when you're stuck and need to think about what typically goes wrong in a given feature type.
license	MIT
compatibility	Requires filesystem-based agent with read access to the patterns directory.
allowed-tools	Bash Read Glob Grep
metadata	{"user-invocable":"true","argument-hint":"<pattern-category>"}

Attack Patterns

Distilled patterns from disclosed cases. Each pattern describes: what it is, signals to look for, typical exploitation flow, and generalized examples.

Pattern Index

Category	Document	Focus
Password reset step-skip, SSO token theft, weak session keys, remember-me tokens	Auth Vulnerabilities	Authentication flaws
Direct input concatenation, NoSQL operator injection, blind SQL, second-order injection	Injection Patterns	Injection variants
Email verification bypass, unauthenticated API access, subscription manipulation, IDOR	Authorization Bypass	AuthZ bypass
Payment tampering, race conditions, password reset logic, CAPTCHA bypass, coupon abuse	Business Logic Flaws	Logic flaws
Hop-by-hop header leakage, Alt-Svc credential leak, directory/file enumeration	Information Disclosure	Info leaks
Unauthenticated endpoints, IDOR, BOLA, mass assignment, GraphQL introspection	API Vulnerabilities	API issues
Multi-step chains combining multiple low-severity issues into critical impact	Chained Attacks	Attack chains

How to Use

1. Identify the feature type you're testing (auth, API, payment, file handling)
2. Load the corresponding pattern document
3. Check each pattern against the target: "Does our target have this signal?"
4. For each matching signal, follow the exploitation flow
5. Chain low-severity findings using chained-attacks patterns

Reference Data

For vendor-specific fingerprints and default credentials (especially China-market enterprise software), load:

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name	security-patterns
description	Reusable attack patterns distilled from disclosed vulnerability reports. Use when hunting for vulnerabilities to understand common exploitation chains, or when you're stuck and need to think about what typically goes wrong in a given feature type.
license	MIT
compatibility	Requires filesystem-based agent with read access to the patterns directory.
allowed-tools	Bash Read Glob Grep
metadata	{"user-invocable":"true","argument-hint":"<pattern-category>"}

Attack Patterns

Distilled patterns from disclosed cases. Each pattern describes: what it is, signals to look for, typical exploitation flow, and generalized examples.

Pattern Index

Category	Document	Focus
Password reset step-skip, SSO token theft, weak session keys, remember-me tokens	Auth Vulnerabilities	Authentication flaws
Direct input concatenation, NoSQL operator injection, blind SQL, second-order injection	Injection Patterns	Injection variants
Email verification bypass, unauthenticated API access, subscription manipulation, IDOR	Authorization Bypass	AuthZ bypass
Payment tampering, race conditions, password reset logic, CAPTCHA bypass, coupon abuse	Business Logic Flaws	Logic flaws
Hop-by-hop header leakage, Alt-Svc credential leak, directory/file enumeration	Information Disclosure	Info leaks
Unauthenticated endpoints, IDOR, BOLA, mass assignment, GraphQL introspection	API Vulnerabilities	API issues
Multi-step chains combining multiple low-severity issues into critical impact	Chained Attacks	Attack chains

How to Use

1. Identify the feature type you're testing (auth, API, payment, file handling)
2. Load the corresponding pattern document
3. Check each pattern against the target: "Does our target have this signal?"
4. For each matching signal, follow the exploitation flow
5. Chain low-severity findings using chained-attacks patterns

Reference Data

For vendor-specific fingerprints and default credentials (especially China-market enterprise software), load: