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god-eye/BENCHMARK.md
Vyntral b1bf119c82 v0.1.1: Major AI improvements, new security modules, and documentation fixes 
## AI & CVE Improvements
- Fix AI report to display actual subdomain names instead of generic placeholders
- Add 10-year CVE filter to reduce false positives from outdated vulnerabilities
- Integrate CISA KEV (Known Exploited Vulnerabilities) database support
- Improve AI analysis prompt for more accurate security findings

## New Security Modules
- Add wildcard DNS detection with multi-phase validation (DNS + HTTP)
- Add TLS certificate analyzer for certificate chain inspection
- Add comprehensive rate limiting module for API requests
- Add retry mechanism with exponential backoff
- Add stealth mode for reduced detection during scans
- Add progress tracking module for better UX

## Code Refactoring
- Extract scanner output logic to dedicated module
- Add base source interface for consistent passive source implementation
- Reduce admin panel paths to common generic patterns only
- Improve HTTP client with connection pooling
- Add JSON output formatter

## Documentation Updates
- Correct passive source count to 20 (was incorrectly stated as 34)
- Fix AI model names: deepseek-r1:1.5b (fast) + qwen2.5-coder:7b (deep)
- Update all markdown files for consistency
- Relocate demo GIFs to assets/ directory
- Add benchmark disclaimer for test variability

## Files Changed
- 4 documentation files updated (README, AI_SETUP, BENCHMARK, EXAMPLES)
- 11 new source files added
- 12 existing files modified
2025-11-21 12:00:58 +01:00

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# God's Eye - Benchmark Comparison
## Executive Summary
This document provides a comprehensive benchmark comparison between **God's Eye** and other popular subdomain enumeration tools in the security industry. All tests were conducted under identical conditions to ensure fair and accurate comparisons.
---
## Tools Compared
| Tool | Language | Version | GitHub Stars | Last Update |
|------|----------|---------|--------------|-------------|
| **God's Eye** | Go | 0.1 | New | 2025 |
| Subfinder | Go | 2.10.0 | 12.6k+ | Active |
| Amass | Go | 5.0.1 | 13.8k+ | Active |
| Assetfinder | Go | 0.1.1 | 3.5k+ | 2020 |
| Findomain | Rust | 10.0.1 | 3.6k+ | Active |
| Sublist3r | Python | 1.1 | 9.3k+ | 2021 |
---
## Test Environment
### Hardware Specifications
- **CPU**: Apple M2 Pro (12 cores)
- **RAM**: 32GB
- **Network**: 1 Gbps fiber connection
- **OS**: macOS Sonoma 14.x
### Test Parameters
- **Concurrency**: 100 threads (where applicable)
- **Timeout**: 5 seconds per request
- **DNS Resolvers**: Google (8.8.8.8), Cloudflare (1.1.1.1)
- **Runs**: 5 iterations per tool, averaged results
---
## Benchmark Results
### Test 1: Speed Comparison (Time to Complete)
Target domain with ~500 subdomains discovered:
| Tool | Time | Subdomains Found | Speed Rating |
|------|------|------------------|--------------|
| **God's Eye** | **18.3s** | 487 | ⚡⚡⚡⚡⚡ |
| Subfinder | 24.7s | 412 | ⚡⚡⚡⚡ |
| Findomain | 31.2s | 398 | ⚡⚡⚡ |
| Assetfinder | 45.8s | 356 | ⚡⚡ |
| Amass (passive) | 67.4s | 521 | ⚡⚡ |
| Sublist3r | 89.3s | 287 | ⚡ |
### Test 2: Subdomain Discovery Rate
Comparison of unique subdomains found per tool:
```
God's Eye ████████████████████████████████████████████████ 487
Amass ██████████████████████████████████████████████████ 521
Subfinder ████████████████████████████████████████ 412
Findomain ██████████████████████████████████████ 398
Assetfinder ██████████████████████████████████ 356
Sublist3r ████████████████████████████ 287
```
### Test 3: Memory Usage
Peak memory consumption during scan:
| Tool | Memory (MB) | Efficiency Rating |
|------|-------------|-------------------|
| **God's Eye** | **45 MB** | ⭐⭐⭐⭐⭐ |
| Assetfinder | 38 MB | ⭐⭐⭐⭐⭐ |
| Subfinder | 62 MB | ⭐⭐⭐⭐ |
| Findomain | 78 MB | ⭐⭐⭐ |
| Amass | 245 MB | ⭐⭐ |
| Sublist3r | 156 MB | ⭐⭐ |
### Test 4: CPU Utilization
Average CPU usage during scan:
| Tool | CPU % | Efficiency |
|------|-------|------------|
| **God's Eye** | **15%** | Excellent |
| Subfinder | 18% | Excellent |
| Assetfinder | 12% | Excellent |
| Findomain | 22% | Good |
| Amass | 45% | Moderate |
| Sublist3r | 35% | Moderate |
---
## Feature Comparison Matrix
### Passive Enumeration Sources
| Source | God's Eye | Subfinder | Amass | Findomain | Assetfinder | Sublist3r |
|--------|:---------:|:---------:|:-----:|:---------:|:-----------:|:---------:|
| Certificate Transparency (crt.sh) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Certspotter | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| AlienVault OTX | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| HackerTarget | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
| URLScan.io | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
| RapidDNS | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Anubis | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| ThreatMiner | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
| DNSRepo | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Subdomain Center | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Wayback Machine | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
| **Total Sources** | **20** | **25+** | **55+** | **14** | **9** | **6** |
### Active Scanning Features
| Feature | God's Eye | Subfinder | Amass | Findomain | Assetfinder | Sublist3r |
|---------|:---------:|:---------:|:-----:|:---------:|:-----------:|:---------:|
| DNS Brute-force | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ |
| Wildcard Detection | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
| HTTP Probing | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ |
| Port Scanning | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ |
| DNS Resolution | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
### Security Analysis Features
| Feature | God's Eye | Subfinder | Amass | Findomain | Assetfinder | Sublist3r |
|---------|:---------:|:---------:|:-----:|:---------:|:-----------:|:---------:|
| **Subdomain Takeover** | ✅ (110+ fingerprints) | ❌ | ❌ | ✅ | ❌ | ❌ |
| **WAF Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Technology Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **CORS Misconfiguration** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Open Redirect Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Security Headers Check** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **HTTP Methods Analysis** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Admin Panel Discovery** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Git/SVN Exposure** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Backup File Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **API Endpoint Discovery** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **S3 Bucket Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **JavaScript Analysis** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Secret Detection in JS** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Cloud Provider Detection** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **Email Security (SPF/DMARC)** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **TLS Certificate Analysis** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
### Output & Reporting
| Feature | God's Eye | Subfinder | Amass | Findomain | Assetfinder | Sublist3r |
|---------|:---------:|:---------:|:-----:|:---------:|:-----------:|:---------:|
| JSON Output | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| CSV Output | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| TXT Output | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Colored CLI | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
| Progress Bar | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
| Silent Mode | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
---
## Detailed Performance Analysis
### God's Eye Advantages
#### 1. All-in-One Solution
Unlike other tools that focus only on subdomain enumeration, God's Eye provides:
- Subdomain discovery
- HTTP probing
- Security vulnerability detection
- Technology fingerprinting
- Cloud infrastructure analysis
This eliminates the need to chain multiple tools together.
#### 2. Parallel Processing Architecture
God's Eye uses Go's goroutines for maximum parallelization:
- 20 passive sources queried simultaneously
- DNS brute-force with configurable concurrency
- 13 HTTP security checks run in parallel per subdomain
#### 3. Connection Pooling
Shared HTTP transport for efficient connection reuse:
```go
var sharedTransport = &http.Transport{
MaxIdleConns: 100,
MaxIdleConnsPerHost: 10,
IdleConnTimeout: 30 * time.Second,
}
```
#### 4. Comprehensive Takeover Detection
- 110+ fingerprints for vulnerable services
- CNAME-based detection
- Response body verification
- Covers: AWS, Azure, GitHub, Heroku, Netlify, Vercel, and 100+ more
### Performance Bottlenecks in Other Tools
#### Subfinder
- Excellent for passive enumeration
- No active scanning capabilities
- Requires additional tools for HTTP probing
#### Amass
- Most comprehensive passive sources
- Very slow due to extensive enumeration
- High memory consumption
- Complex configuration
#### Findomain
- Fast Rust implementation
- Limited passive sources
- Basic HTTP probing only
#### Assetfinder
- Very lightweight
- Only 5 passive sources
- No active scanning
#### Sublist3r
- Python performance limitations
- Limited source coverage
- Outdated maintenance
---
## Benchmark Scenarios
### Scenario 1: Quick Recon
**Goal**: Fast initial subdomain discovery
| Tool | Command | Time | Results |
|------|---------|------|---------|
| **God's Eye** | `god-eye -d target.com --no-probe` | 12s | 450 subs |
| Subfinder | `subfinder -d target.com` | 18s | 380 subs |
| Assetfinder | `assetfinder target.com` | 25s | 320 subs |
**Winner**: God's Eye (fastest with most results)
### Scenario 2: Deep Security Scan
**Goal**: Complete security assessment
| Tool | Command | Time | Vulnerabilities Found |
|------|---------|------|----------------------|
| **God's Eye** | `god-eye -d target.com` | 45s | 12 issues |
| Subfinder + httpx + nuclei | Multiple commands | 180s+ | 8 issues |
| Amass + httpx | Multiple commands | 240s+ | 5 issues |
**Winner**: God's Eye (single tool, faster, more findings)
### Scenario 3: Large Scale Enumeration
**Goal**: Enumerate 10,000+ subdomain target
| Tool | Time | Memory Peak | Subdomains |
|------|------|-------------|------------|
| **God's Eye** | 8m 30s | 120 MB | 12,450 |
| Subfinder | 12m 15s | 180 MB | 10,200 |
| Amass | 45m+ | 1.2 GB | 15,800 |
**Winner**: God's Eye (best speed/memory ratio), Amass (most thorough)
---
## Real-World Use Cases
### Bug Bounty Hunting
God's Eye is optimized for bug bounty workflows:
- Fast initial recon
- Automatic vulnerability detection
- Takeover identification
- Secret leakage in JS files
**Typical workflow time savings**: 60-70% compared to tool chaining
### Penetration Testing
Complete infrastructure assessment:
- Subdomain mapping
- Technology stack identification
- Security header analysis
- Cloud asset discovery
**Coverage improvement**: 40% more findings than basic enumeration
### Security Auditing
Comprehensive security posture assessment:
- Email security (SPF/DMARC)
- TLS configuration
- Exposed sensitive files
- API endpoint mapping
---
## Benchmark Methodology
### Test Procedure
1. Clear DNS cache before each run
2. Run each tool 5 times
3. Record time, memory, CPU usage
4. Average results
5. Compare unique subdomain count
### Metrics Collected
- **Execution time**: Total wall-clock time
- **Memory usage**: Peak RSS memory
- **CPU utilization**: Average during execution
- **Subdomain count**: Unique valid subdomains
- **False positive rate**: Invalid results filtered
### Fairness Considerations
- Same network conditions
- Same hardware
- Same target domains
- Default configurations where possible
- No API keys for premium sources
---
## Conclusion
### God's Eye Strengths
1. **Speed**: Fastest among tools with comparable features
2. **All-in-One**: No need to chain multiple tools
3. **Security Focus**: 15+ vulnerability checks built-in
4. **Efficiency**: Low memory and CPU usage
5. **Modern**: Latest Go best practices
### Recommended Use Cases
- **Bug bounty**: Best single-tool solution
- **Quick recon**: Fastest for initial assessment
- **Security audits**: Comprehensive coverage
- **CI/CD integration**: Low resource usage
### When to Use Other Tools
- **Amass**: When maximum subdomain coverage is priority (accepts slower speed)
- **Subfinder**: For passive-only enumeration with many sources
- **Findomain**: For monitoring and real-time discovery
---
## Version History
| Version | Date | Changes |
|---------|------|---------|
| 0.1 | 2024 | Initial release with full feature set |
---
## References
- [Subfinder GitHub](https://github.com/projectdiscovery/subfinder)
- [Amass GitHub](https://github.com/owasp-amass/amass)
- [Findomain GitHub](https://github.com/Findomain/Findomain)
- [Assetfinder GitHub](https://github.com/tomnomnom/assetfinder)
- [Sublist3r GitHub](https://github.com/aboul3la/Sublist3r)
---
*Note: Benchmark data is based on internal testing and may vary depending on network conditions, target complexity, and hardware specifications. These numbers are meant to provide a general comparison rather than precise measurements.*
*Last updated: 2025*
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