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数据与研究 · SKILL.md

performing-ssrf-vulnerability-exploitation

performing-ssrf-vulnerability-exploitation

【数据与研究】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 S…

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GitHub

name: performing-ssrf-vulnerability-exploitation description: >- 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. domain: cybersecurity subdomain: security-operations tags:

  • ssrf
  • web-application-security
  • cloud-metadata-abuse
  • vulnerability-exploitation
  • penetration-testing version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
  • DE.CM-01
  • RS.MA-01
  • GV.OV-01
  • DE.AE-02 mitre_attack:
  • T1078
  • T1190
  • T1059
  • T1078.004
  • T1530

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

  1. Install dependencies: pip install requests
  2. Identify URL parameters in the target application that accept URLs or hostnames.
  3. 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
  4. Analyze responses for information disclosure or internal access confirmation.
  5. 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.

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