# Testing For JSON Web Token Vulnerabilities

> Use when test JWT implementations for critical vulnerabilities including algorithm confusion, none algorithm bypass, kid parameter injection, and weak secret exploitation to achieve authentication bypass and privilege escalation. Use when testing jwt implementations for critical vulnerabilities including algorithm confusion, none.

- Skill: `oyi77/testing-for-json-web-token-vulnerabilities` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/testing-for-json-web-token-vulnerabilities`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/testing-for-json-web-token-vulnerabilities/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/testing-for-json-web-token-vulnerabilities

---


# Testing For Json Web Token Vulnerabilities

## Overview

Cybersecurity skill for testing for json web token vulnerabilities. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "testing for json web token vulnerabilities"
- "Test JWT implementations for critical vulnerabilities including algorithm confus"

- When testing applications using JWT for authentication and session management
- During API security assessments where JWTs are used for authorization
- When evaluating OAuth 2.0 or OpenID Connect implementations using JWT
- During penetration testing of single sign-on (SSO) systems
- When auditing JWT library configurations for known vulnerabilities


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites
- jwt_tool (Python JWT exploitation toolkit)
- Burp Suite with JWT Editor extension
- jwt.io for decoding and inspecting JWT structure
- Understanding of JWT structure (header.payload.signature) and algorithms (HS256, RS256)
- hashcat or john for brute-forcing weak JWT secrets
- Python PyJWT library for custom JWT forging scripts
- Access to application using JWT-based authentication


> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Reconnaissance** — Gather information about the target related to . Identify attack surface.
2. **Vulnerability Identification** — Enumerate potential  weaknesses using automated and manual techniques.
3. **Exploit Development/Selection** — Use json web token vulnerabilities to identify and test  vulnerabilities.
4. **Execution** — Execute the  test in a controlled manner with proper authorization.
5. **Post-Exploitation** — Document the impact and extent of successful exploitation.
6. **Reporting** — Write detailed findings with reproduction steps, impact assessment, and remediation guidance.

## Tools

- **json web token vulnerabilities** — Primary tool for this skill
- **Vulnerability Scanner** — Automated weakness identification
- **Exploitation Framework** — Controlled exploitation testing
- **Reporting Tool** — Findings documentation and tracking


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All  procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |