muki-fingerprint
MUKI asset fingerprinting tool for red team reconnaissance. Use when performing authorized penetration testing, asset discovery, service fingerprinting, vulnerability scanning, and attack surface mapping. Supports active/passive fingerprinting with 30,000+ signatures, sensitive path detection, and sensitive information extraction. Requires explicit authorization for target systems.
安装 / 下载方式
TotalClaw CLI推荐
totalclaw install clawskills:clawskills~admin4giter-muki-fingerprintcURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/clawskills%3Aclawskills~admin4giter-muki-fingerprint/file -o admin4giter-muki-fingerprint.md# MUKI Asset Fingerprinting Tool
MUKI is an active asset fingerprinting tool built for red team operations. It enables security researchers to rapidly pinpoint vulnerable systems from chaotic C-class segments and massive asset lists.
## Prerequisites
- Linux amd64 system
- Network access to target systems
- **Explicit written authorization** for all target systems
## Quick Start
```bash
# Scan single URL
muki -u https://target.com
# Scan multiple URLs from file
muki -l targets.txt
# Scan with proxy
muki -u https://target.com -p socks5://127.0.0.1:1080
# Disable specific modules
muki -u https://target.com -A -N # No active, no directory scan
```
## Command Options
```
-h, --help Show help
-u, --url string Single URL to scan
-l, --list string File containing URLs (one per line)
-o, --output string Output file path
-p, --proxy string Proxy server (http:// or socks5://)
-t, --thread int Number of threads (default: 20, max: 100)
-A, --no-active Disable active fingerprint scanning
-N, --no-dir Disable directory scanning
-x, --no-passive Disable passive fingerprint scanning
```
## Core Modules
### 1. Active Fingerprinting (-A to disable)
Sends protocol-specific probes to identify services with high confidence.
- 300+ active fingerprint rules
- Covers SSH, RDP, web servers, databases
- Protocol-specific probes
### 2. Passive Fingerprinting (-x to disable)
Analyzes response artifacts without additional traffic.
- 30,000+ precision fingerprints
- HTTP headers analysis
- TLS JA3 signatures
- HTML/CMS patterns
- WAF detection
### 3. Sensitive Path Detection (-N to disable)
Checks for high-risk paths using curated dictionaries.
- Admin interfaces (/admin, /manage)
- Config files (.env, config.php)
- Version control (/.git, /.svn)
- Vulnerability endpoints (Actuator, ThinkPHP routes)
- Backup files (.sql, .tar.gz)
### 4. Sensitive Information Extraction
Automatically extracts high-risk information from responses.
**Categories:**
- **Credentials**: Passwords, API keys, JDBC strings
- **Personal Data**: Phone numbers, emails, ID cards
- **Financial**: Bank cards
- **System Info**: Internal IPs, versions
- **Vulnerability Indicators**: ID parameters, redirect URLs
## Output Formats
### JSON Output
```json
{
"target": "https://example.com",
"fingerprints": [
{
"service": "Apache",
"version": "2.4.41",
"confidence": "high"
}
],
"sensitive_paths": [
{
"path": "/admin",
"status": 200,
"risk": "high"
}
],
"sensitive_data": [
{
"type": "email",
"value": "admin@example.com",
"source": "response body"
}
]
}
```
### Excel Output
Structured .xlsx report with multiple sheets:
- Asset inventory
- Service fingerprints
- Sensitive paths
- Extracted data
## Workflow
### Standard Reconnaissance
```bash
# 1. Prepare target list
cat > targets.txt << 'EOF'
https://target1.com
https://target2.com
192.168.1.0/24
EOF
# 2. Run full scan
muki -l targets.txt -o results.json
# 3. Review results
cat results.json | jq '.fingerprints[]'
# 4. Generate Excel report
muki -l targets.txt -o report.xlsx
```
### Stealth Scan (with proxy)
```bash
# Use Tor proxy for anonymity
muki -u https://target.com -p socks5://127.0.0.1:9050
# Or use HTTP proxy
muki -u https://target.com -p http://127.0.0.1:8080
```
### Targeted Scan
```bash
# Fast scan - only passive fingerprinting
muki -u https://target.com -A -N
# Deep scan - all modules
muki -u https://target.com -t 50
```
## Fingerprint Databases
### finger.json (30,000+ fingerprints)
Passive fingerprint database covering:
- Web frameworks (React, Vue, Django, Spring)
- Middleware (Apache, Nginx, IIS, Tomcat)
- CMS (WordPress, Drupal, Joomla)
- WAFs (Cloudflare, ModSecurity, AWS WAF)
- APIs (GraphQL, REST, SOAP)
- Known vulnerabilities (CVE signatures)
### active_finger.json (300+ rules)
Active probing rules for:
- Web servers
- Databases (MySQL, PostgreSQL, MongoDB)
- Remote access (SSH, RDP, Telnet)
- Services (Redis, Elasticsearch, Docker)
### Rules.yml
Sensitive information extraction rules organized by groups:
- **疑似漏洞**: ID parameters (SQLi indicators)
- **指纹信息**: URL redirects, sensitive paths
- **敏感信息**: Passwords, accounts, JDBC strings
- **基础信息**: Emails, ID cards, phones, bank cards
## Best Practices
### 1. Authorization
- Always obtain written authorization before scanning
- Define scope clearly (IPs, domains, time windows)
- Respect rate limits and business hours
### 2. Stealth
- Use proxies for external targets
- Adjust thread count to avoid detection
- Consider using -A -N for passive-only recon
### 3. Data Handling
- Store results securely
- Encrypt sensitive findings
- Limit access to authorized personnel only
- Delete data after engagement ends
### 4. False Positive Reduction
- Cross-reference findings with manual verification
- Use multiple detection methods
- Check context of extracted sensitive data
## Legal and Ethical Considerations
**WARNING**: This tool is for authorized security testing only.
- Unauthorized scanning may violate laws (CFAA, Computer Misuse Act, etc.)
- Only use on systems you own or have explicit permission to test
- Extracting sensitive data without authorization is illegal
- Report findings responsibly through proper channels
## Integration
### With Other Tools
```bash
# Chain with nuclei for vulnerability scanning
cat muki_output.txt | nuclei -t cves/
# Import to Burp Suite
cat results.json | jq -r '.sensitive_paths[].path' > burp_scope.txt
# Feed to SQLMap for SQL injection testing
cat results.json | jq -r '.vulnerable_params[]' | sqlmap -m -
```
## Troubleshooting
### High Memory Usage
- Reduce thread count: `-t 10`
- Scan in smaller batches
- Disable passive fingerprinting: `-x`
### False Positives
- Verify findings manually
- Check rule specificity in Rules.yml
- Adjust confidence thresholds
### Connection Issues
- Check proxy configuration
- Verify network connectivity
- Increase timeout values
## References
- Original Repository: https://github.com/yingfff123/MUKI
- Fingerprint Databases: See references/finger.json, active_finger.json
- Extraction Rules: See references/Rules.yml
## License
MIT License - See original repository for details.