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Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills
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
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# API Reference: SSRF Vulnerability Testing
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## Cloud Metadata Endpoints
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| Cloud | URL | Headers |
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|-------|-----|---------|
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| AWS IMDSv1 | `http://169.254.169.254/latest/meta-data/` | None |
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| AWS IMDSv2 | `http://169.254.169.254/latest/api/token` | `X-aws-ec2-metadata-token-ttl-seconds: 21600` |
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| GCP | `http://metadata.google.internal/computeMetadata/v1/` | `Metadata-Flavor: Google` |
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| Azure | `http://169.254.169.254/metadata/instance?api-version=2021-02-01` | `Metadata: true` |
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## IP Encoding Bypass Techniques
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| Technique | 169.254.169.254 Encoded |
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|-----------|------------------------|
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| Decimal | `2852039166` |
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| Hex | `0xa9fea9fe` |
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| Octal | `0251.0376.0251.0376` |
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| IPv6 mapped | `[::ffff:169.254.169.254]` |
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| Shortened | `169.254.169.254` -> `0` (localhost) |
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## Python requests
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```python
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import requests
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resp = requests.get(url, timeout=10, allow_redirects=False, verify=False)
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resp.status_code # HTTP status
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resp.text # Response body
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len(resp.content) # Response size
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resp.headers # Response headers
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```
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## SSRF Impact Levels
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| Access | Impact | Severity |
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|--------|--------|----------|
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| Cloud metadata credentials | Full account compromise | Critical |
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| Internal service access | Lateral movement | High |
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| Local file read (file://) | Information disclosure | High |
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| Internal port scan | Reconnaissance | Medium |
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## MITRE ATT&CK
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- T1190 - Exploit Public-Facing Application
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- T1552.005 - Cloud Instance Metadata API
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