SSRF Vulnerability Testing and Reporting Guide

---
name: performing-ssrf-vulnerability-exploitation
description: "Test for Server-Side Request Forgery vulnerabilities by probing cloud metadata endpoints, internal network services,"
---
## 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 is confirmed with critical impact.