| name | performing-blind-ssrf-exploitation |
| description | Detect and exploit blind Server-Side Request Forgery vulnerabilities using out-of-band techniques, DNS interactions, and timing analysis to access internal services and cloud metadata endpoints. Use when detecting and exploit blind server-side request forgery vulnerabilities using out-of-band. |
| domain | cybersecurity |
| tags | ["blind-ssrf","ssrf","out-of-band","burp-collaborator","cloud-metadata","internal-network","oob-detection"] |
| subdomain | web-application-security |
| version | 1.0 |
| author | oyi77 |
| license | Apache-2.0 |
| nist_csf | ["PR.PS-01","ID.RA-01","PR.DS-10","DE.CM-01"] |
Performing Blind Ssrf Exploitation
Overview
Cybersecurity skill for performing blind ssrf exploitation. Follows industry best practices and security standards.
When to Use
Trigger phrases:
-
"performing blind ssrf exploitation"
-
"Detect and exploit blind Server-Side Request Forgery vulnerabilities using out-o"
-
When testing URL/webhook input parameters where server-side responses are not reflected
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During assessment of applications that fetch external resources (avatars, previews, imports)
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When testing PDF generators, image processors, or document converters for SSRF
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During cloud security assessments to detect metadata endpoint access
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When evaluating webhook functionality and URL validation implementations
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Burp Suite Professional with Burp Collaborator for OOB detection
- interact.sh or webhook.site for external callback monitoring
- Understanding of SSRF attack vectors and internal network enumeration
- Knowledge of cloud metadata endpoints (AWS, GCP, Azure)
- VPS or controlled server for advanced exploitation callback handling
- Python with requests library for automation scripts
Workflow
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v IOC_PATTERNS.items()}