Individual skill

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.

skills/performing-ssrf-vulnerability-exploitation/SKILL.md

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Scanner rules are current: Yes
Repository scan complete: No
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Observed behavior: Network or broad shell
Last checked: Nov 9, 2026

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Repository context

Repository stars (not skill ratings): 35,817
Repository last updated: Aug 31, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai-agents Repository topic
claude-code Repository topic
cybersecurity Repository topic
incident-response Repository topic
mitre-attack Repository topic
penetration-testing Repository topic
red-team Repository topic
security Repository topic
cloud-security Repository topic
malware-analysis Repository topic
ssrf Declared skill tag
web-application-security Declared skill tag
cloud-metadata-abuse Declared skill tag
vulnerability-exploitation Declared skill tag
penetration-testing Declared skill tag
security Derived category
testing Derived category

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LICENSEasset · 11,255 bytes
SKILL.mdcore · 2,373 bytes
SKILL.mdcore · 2,373 bytes
references/api-reference.mddoc · 1,469 bytes
scripts/agent.pyruns · 7,602 bytes

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## 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