Performing ssrf vulnerability exploitation
Open-source security arsenal for AI coding agents: 784 cybersecurity skills, scanner integrations, and a security MCP for Claude Code, Cursor, opencode, Gemini CLI, Cline, and any agentskills.io agent. Mapped to OWASP, MITRE ATT&CK, NIST CSF, D3FEND, ATLAS.
npx -y skills add Mikaru0Mystic/sectinel --skill performing-ssrf-vulnerability-exploitationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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.
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.1 KB, 339 tokens by cl100k_base, as published. Nobody here has run it
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
- 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.
What ships with it: 3 files
19.8 KB alongside SKILL.md, 1 of them executable
references/
- api-reference.md1.4 KB
scripts/
- agent.pyruns7.4 KB
- LICENSE11.0 KB