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Mahipal
2fb6a9faff
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.
73 lines
2.3 KiB
Markdown
73 lines
2.3 KiB
Markdown
---
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name: performing-ssrf-vulnerability-exploitation
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description: >-
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Tests web application URL parameters for Server-Side Request Forgery by
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probing cloud metadata endpoints (AWS/GCP/Azure at 169.254.169.254),
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internal network services, and protocol handlers (file://, gopher://,
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dict://) using a Python script, including IP-encoding bypass and DNS
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rebinding checks. Use during authorized penetration testing to confirm SSRF
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in a URL-fetching parameter and generate a vulnerability report.
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domain: cybersecurity
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subdomain: security-operations
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tags:
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- ssrf
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- web-application-security
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- cloud-metadata-abuse
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- vulnerability-exploitation
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- penetration-testing
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- DE.CM-01
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- RS.MA-01
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- GV.OV-01
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- DE.AE-02
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mitre_attack:
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- T1078
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- T1190
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- T1059
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- T1078.004
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- T1530
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---
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## When to Use
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- When conducting security assessments that involve performing ssrf vulnerability exploitation
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- When following incident response procedures for related security events
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- When performing scheduled security testing or auditing activities
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- When validating security controls through hands-on testing
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## Prerequisites
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- Familiarity with security operations concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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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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