BugHunter Pro v7.0 - Vulnerability Scanner

Overview
What's New in v7.0
Key Features
Installation
Usage Examples
Command-Line Options
Configuration
Testing
Performance Metrics
Project Structure
Database Schema
Compliance Mapping
Roadmap
Security and Responsible Use
API Rate Limits
Troubleshooting
Contributing
Comparison with Other Tools
FAQ
Support
License
Acknowledgments
Citations

Overview

BugHunter Pro v7.0 provides a comprehensive solution for identifying vulnerabilities across various systems. It integrates an up-to-date CVE database and uses a realistic approach to vulnerability scanning, focusing on actual implementation and measurable results rather than exaggerated claims.

Architecture Overview

What's New in v7.0

BugHunter Pro v7.0 represents a complete rewrite, moving from a marketing-driven v6.0 to an honest, working implementation.

Metric	v6.0 Claim	v7.0 Reality
Modules	100+	12 working modules
Speed	10,000+ req/s	500+ req/s (localhost), 100-300 req/s (production)
Accuracy	99.99%	100% on 10 test cases (limited dataset)
AI	"AI-powered"	RandomForest ML (synthetic training data)
Tests	None	26 tests (16 unit + 10 accuracy + 8 integration)
False Positives	"Zero"	0% on test dataset (needs validation)

Key Features

Core Infrastructure (Phase 1)

Async HTTP Engine: High-performance asynchronous HTTP client with connection pooling, rate limiting, and batch request processing. (File: core/async_engine.py)
Plugin Architecture: Extensible scanner framework with abstract base classes, dynamic plugin discovery, and category-based organization. (File: core/plugin_manager.py)
Configuration Management: Multi-source configuration system supporting YAML files, environment variables, and command-line arguments. (File: core/config_manager.py)

CVE Database Integration (Phase 2)

NVD API Client: Full NIST National Vulnerability Database REST API 2.0 support with CVSS v2/v3 parsing and rate limiting. (File: modules/cve_database.py)
CVE Synchronization: Automated daily/weekly database updates, delta updates, and SQLite storage. (File: modules/cve_sync.py)
ExploitDB Integration: Local caching of ExploitDB with CVE-to-exploit mapping. (File: modules/exploit_db.py)
GitHub Advisory API: Package vulnerability detection across multiple ecosystems with severity filtering. (File: modules/github_advisory.py)
Dynamic Payload Generator: Context-aware, template-based exploit generation for various vulnerability types. (File: modules/payload_generator.py)

Advanced Scanning (Phase 3)

Advanced Evasion Engine: WAF bypass techniques including 8 encoding methods, case manipulation, and polymorphic payload generation. (File: modules/evasion_advanced.py)
ML Vulnerability Predictor: RandomForest classifier for false positive reduction, trained on 100 synthetic samples. (File: modules/ml_vuln_predictor.py)

Specialized Modules (Phase 4)

Crypto/TLS Analyzer: SSL/TLS security assessment, protocol/cipher suite analysis, and security header validation. (File: modules/crypto_analyzer.py)
Cloud Metadata Scanner: SSRF testing for cloud environments (AWS, Azure, GCP) with 50+ payload variations. (File: modules/cloud_metadata_scanner.py)

Installation

Requirements

Python 3.8 or higher
pip package manager
Virtual environment (recommended)

Quick Start

Clone the repository:

git clone https://github.com/RicheByte/bugHunter.git
cd bugHunter

Create and activate a virtual environment:

python -m venv .venv
# Windows:
.venv\Scripts\activate
# Linux/Mac:
source .venv/bin/activate

Install dependencies:
```
pip install -r requirements.txt
```

Dependencies

Core Requirements:

aiohttp>=3.9.0          # Async HTTP client
pyyaml>=6.0.0           # YAML configuration
apscheduler>=3.10.0     # Task scheduling
scikit-learn>=1.3.0     # Machine learning
numpy>=1.24.0           # Numerical computing
psutil>=5.9.0           # System monitoring
requests>=2.31.0        # HTTP requests
beautifulsoup4>=4.12.0  # HTML parsing

Optional Dependencies:

pyOpenSSL>=23.3.0       # TLS/SSL analysis (recommended)
redis>=5.0.0            # Distributed caching (enterprise)
reportlab>=4.0.0        # PDF reporting

Usage Examples

Basic Scan

python bughunter.py -u https://example.com

Full-Featured Scan

python bughunter.py -u https://target.com \
  --threads 50 \
  --depth 3 \
  --enable-ml \
  --enable-evasion \
  --enable-compliance \
  --report-formats json html csv sarif markdown

Quick Scan (Fast, Reduced Coverage)

python bughunter.py -u https://target.com --mode quick

Stealth Scan (Slow, Evasive)

python bughunter.py -u https://target.com \
  --mode stealth \
  --threads 5 \
  --delay 2 \
  --enable-evasion

With NVD API Key (Faster CVE Lookups)

Set the environment variable:

export BUGHUNTER_CVE_DATABASE_NVD_API_KEY="your-api-key"

Or use the config.yaml file.

CI/CD Integration

python bughunter.py -u https://staging.example.com \
  --fail-on-critical \
  --report-formats sarif json \
  --output-dir ./security-reports

Command-Line Options

Basic Options

Option	Description	Default
`-u, --url URL`	Target URL to scan (required)	-
`--threads N`	Number of concurrent threads	50
`--timeout N`	Request timeout in seconds	10
`--depth N`	Maximum crawl depth	3
`--max-pages N`	Maximum pages to crawl	500
`--delay N`	Rate limit delay in seconds	0.1

Advanced Features

Option	Description	Default
`--enable-ml`	Enable ML false positive reduction	Disabled
`--enable-evasion`	Enable WAF evasion techniques	Disabled
`--enable-compliance`	Enable compliance framework mapping	Disabled
`--adaptive-rate-limit`	Enable adaptive rate limiting	Enabled

Scan Modes

Mode	Threads	Depth	Pages	Delay	Use Case
`full`	50	3	500	0.1s	Complete coverage (default)
`quick`	100	2	100	0.05s	Fast preliminary scan
`stealth`	5	2	200	2s	Slow and evasive
`aggressive`	200	5	1000	0.01s	Maximum speed and coverage

Reporting Options

Option	Description
`--report-formats FORMAT [FORMAT ...]`	Output formats: json, html, csv, sarif, markdown
`--output-dir DIR`	Output directory for reports (default: current directory)
`--webhook URL`	Webhook URL for notifications
`--slack-webhook URL`	Slack webhook for notifications
`--fail-on-critical`	Exit with error if critical vulnerabilities found

Verbose Output

Option	Description
`-v, --verbose`	Verbose output
`--debug`	Debug mode (very verbose)

Configuration

Configuration File

Copy config.yaml.example to config.yaml and customize:

# Scanner Configuration
scanner:
  max_threads: 50
  timeout: 10
  max_depth: 3
  max_pages: 500
  rate_limit_delay: 0.1
  user_agent: "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"

# Detection Settings
detection:
  enable_ml: true
  enable_evasion: false
  enable_compliance: true

# CVE Database
cve_database:
  nvd_api_key: ""                  # Optional: Increases rate limit
  sync_enabled: true
  sync_schedule: "daily"           # daily, weekly, or manual
  database_path: "database/cve_database.db"

# Reporting
reporting:
  output_dir: "./reports"
  formats:
    - "json"
    - "html"
    - "csv"
    - "sarif"
  include_compliance: true
  include_remediation: true

Environment Variables

Override configuration with environment variables using the pattern BUGHUNTER_SECTION_KEY:

# Examples
export BUGHUNTER_SCANNER_MAX_THREADS=100
export BUGHUNTER_CVE_DATABASE_NVD_API_KEY="your-api-key"
export BUGHUNTER_LOGGING_LEVEL="DEBUG"
export BUGHUNTER_PERFORMANCE_REDIS_URL="redis://localhost:6379/0"

See config.yaml.example for all 100+ configuration options.

Testing

BugHunter v7.0 includes comprehensive testing across 3 categories:

Test Suite

Unit Tests (16 tests):
```
python tests/test_core_modules.py
```
Tests individual modules: AsyncEngine, PluginManager, ConfigManager, Evasion, PayloadGenerator, ML Predictor, Crypto Analyzer, Cloud Scanner.
Accuracy Tests (10 tests):
```
python tests/accuracy_test.py
```
DVWA-style vulnerability detection tests with pattern-based validation.
Integration Tests (8 tests):
```
python tests/integration_test.py
```
End-to-end workflows: full scan pipeline, CVE database, ML prediction, crypto analysis, error handling, config integration, plugin system.

Performance Benchmarking

python benchmark/performance_test.py

Measures:

Async engine throughput (requests/second)
Response latency (min, max, avg, p95, p99)
Resource utilization (CPU, memory)
Concurrent request handling

Test Results Summary

Unit Tests:        16/16 passing (100%)
Accuracy Tests:    10/10 passing (100%)
Integration Tests:  8/8  passing (100%)
Total:            26/26 passing (100%)

Performance Metrics

Honest Performance Numbers

Metric	Value	Test Methodology
Throughput (localhost)	500+ req/s	`benchmark/performance_test.py` on localhost
Throughput (production)	100-300 req/s	Live testing on real targets
Accuracy	100%	Pattern matching on 10 DVWA test cases
Precision	100%	True positives / (TP + FP) on test set
Recall	100%	True positives / (TP + FN) on test set
False Positive Rate	0%	On limited test dataset only
Test Coverage	26 tests	16 unit + 10 accuracy + 8 integration

Important Caveats

Accuracy (100%): Achieved on a limited test set of 10 cases. More extensive testing will likely reveal false positives.
False Positives (0%): Measured on test dataset only. Production use may differ.
ML Model: Trained on synthetic data (100 samples). Requires real-world training data for production use.
Performance: Tested on localhost and small-scale targets. Large-scale deployments may experience different performance.
Test Coverage: 26 tests provide basic validation but do not guarantee bug-free operation.

Project Structure

bugHunter/
├── core/                          # Phase 1: Core Infrastructure
│   ├── async_engine.py           # Async HTTP engine (500+ req/s)
│   ├── plugin_manager.py         # Plugin architecture (450 lines)
│   └── config_manager.py         # Configuration management (350 lines)
│
├── modules/                       # Phases 2-4: Detection Modules
│   ├── cve_database.py           # NVD API client (450 lines)
│   ├── cve_sync.py               # CVE synchronization (350 lines)
│   ├── exploit_db.py             # ExploitDB integration (400 lines)
│   ├── github_advisory.py        # GitHub Security Advisory (400 lines)
│   ├── payload_generator.py      # Dynamic payloads (450 lines)
│   ├── evasion_advanced.py       # WAF evasion (120 lines)
│   ├── ml_vuln_predictor.py      # ML predictor (360 lines)
│   ├── crypto_analyzer.py        # TLS/SSL analysis (330 lines)
│   └── cloud_metadata_scanner.py # Cloud SSRF testing (330 lines)
│
├── tests/                         # Phases 5-7: Testing Suite
│   ├── test_core_modules.py      # 16 unit tests
│   ├── accuracy_test.py          # 10 accuracy tests
│   └── integration_test.py       # 8 integration tests
│
├── benchmark/
│   └── performance_test.py       # Performance benchmarking
│
├── database/
│   ├── schema.sql                # SQLite schema (6 tables)
│   └── cve_database.db          # CVE database (generated)
│
├── bughunter.py                  # Main scanner (v7.0)
├── config.yaml.example           # Example configuration (100+ options)
├── requirements.txt              # Python dependencies
├── CHANGELOG.md                  # Version history and changes
├── ACCURACY_REPORT.md            # Detailed accuracy metrics
└── README.md                     # This file

Database Schema

BugHunter uses SQLite for local storage with 6 optimized tables:

cves: CVE vulnerability data (indexes on: cve_id, severity, published_date, platform)
exploits: ExploitDB exploit database (indexes on: edb_id, cve_id, exploit_type, platform)
findings: Scan results and discoveries (indexes on: scan_id, url, severity, timestamp)
scan_history: Historical scan metadata (indexes on: target_url, start_time, status)
payloads: Generated payload templates (indexes on: vuln_type, cve_id, effectiveness_score)
sync_metadata: Synchronization tracking (indexes on: source, last_sync, status)

Compliance Mapping

BugHunter maps vulnerabilities to compliance frameworks:

NIST Cybersecurity Framework (CSF)

IDENTIFY: Asset Management, Risk Assessment
PROTECT: Access Control, Data Security
DETECT: Security Monitoring, Anomalies
RESPOND: Response Planning, Mitigation
RECOVER: Recovery Planning

PCI DSS (Payment Card Industry Data Security Standard)

Requirement 6: Secure Systems and Applications
Requirement 11: Regular Security Testing

ISO 27001

A.12.6: Technical Vulnerability Management
A.14.2: Security in Development

CIS Controls

Control 7: Continuous Vulnerability Management
Control 16: Application Software Security

OWASP Top 10 (2021)

A01: Broken Access Control
A02: Cryptographic Failures
A03: Injection
A04: Insecure Design
A05: Security Misconfiguration
A06: Vulnerable and Outdated Components
A07: Identification and Authentication Failures
A08: Software and Data Integrity Failures
A09: Security Logging and Monitoring Failures
A10: Server-Side Request Forgery (SSRF)

Roadmap

v7.1.0 (Q1 2026)

Real Dataset Integration: Include public benchmark scan reports and anonymized test data to elevate credibility from anecdotal to peer-review ready. This will provide verifiable validation metrics against industry-standard test suites (OWASP Benchmark, NIST SAMATE).
Expand ML training dataset with real-world examples (target: 1000+ samples)
Add 40+ more test cases (target: 50 total accuracy tests)
Implement Redis caching for distributed scanning
Add PostgreSQL support for enterprise deployments
Expand WAF detection signatures (Cloudflare, Akamai, Imperva, F5)
Support additional cloud providers (Alibaba Cloud, Oracle Cloud, IBM Cloud)
Improve payload generation with context-aware templates
Add authentication module (OAuth, JWT, SAML testing)

v8.0.0 (Q2-Q3 2026)

Distributed scanning architecture (multi-node coordination)
Real-time threat intelligence integration (AlienVault OTX, Shodan)
Advanced PDF report generation with charts and graphs
CI/CD pipeline integration (GitHub Actions, GitLab CI, Jenkins)
SIEM integration (Splunk, ELK Stack, QRadar)
Automated remediation suggestions with code examples
Web UI dashboard for scan management
API endpoint for programmatic access
Docker containerization
Kubernetes deployment support

Security and Responsible Use

Legal Notice

FOR AUTHORIZED SECURITY TESTING ONLY

This tool is designed for legitimate security testing and research. Users must:

Obtain written authorization before scanning any systems
Comply with all applicable laws and regulations
Use the tool ethically and responsibly
Respect bug bounty program rules and scope

Unauthorized scanning is illegal and unethical. The authors assume no liability for misuse.

Ethical Guidelines

Authorization Required: Never scan systems without explicit permission.
Respect Rate Limits: Do not overwhelm target servers.
Responsible Disclosure: Report vulnerabilities through proper channels.
Bug Bounty Rules: Follow program scope, rules, and disclosure timelines.
No Exploitation: Do not exploit vulnerabilities without authorization.
Privacy: Do not access, modify, or exfiltrate data.
Compliance: Follow organizational security policies.

Getting Authorization

For Corporate Networks: Obtain written approval, define scope, set schedule, establish communication.
For Bug Bounty Programs: Read program rules carefully, stay within scope, follow disclosure timelines, use provided communication.
For Personal Projects: Own the infrastructure, scan only your domains/servers, document for audit purposes.

API Rate Limits

NVD (National Vulnerability Database)

Without API Key: 5 requests per 30 seconds (~14,400 requests daily).
With API Key (Free): 50 requests per 30 seconds (~144,000 requests daily).
Request key: https://nvd.nist.gov/developers/request-an-api-key

GitHub Advisory API

Unauthenticated: 60 requests per hour (no daily limit).
Authenticated (GitHub Token): 5,000 requests per hour.
Create token: https://github.com/settings/tokens

ExploitDB

No authentication required.
CSV mirror updated daily.
Local caching reduces requests.

Troubleshooting

Common Issues

Problem: Module import errors
- Solution: Ensure all dependencies are installed pip install -r requirements.txt.
Problem: NVD API rate limit exceeded
- Solution: Get API key or reduce sync frequency export BUGHUNTER_CVE_DATABASE_NVD_API_KEY="your-key".
Problem: SSL certificate errors
- Solution: Disable SSL verification for testing python bughunter.py -u https://target.com --verify-ssl false.
Problem: High memory usage
- Solution: Reduce threads and max pages python bughunter.py -u https://target.com --threads 20 --max-pages 100.
Problem: Slow scanning
- Solution: Increase threads and reduce delay python bughunter.py -u https://target.com --threads 100 --delay 0.01.

Contributing

Contributions are welcome! Please follow these guidelines:

Development Setup

# Clone repository
git clone https://github.com/RicheByte/bugHunter.git
cd bugHunter

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run tests
python tests/test_core_modules.py
python tests/accuracy_test.py
python tests/integration_test.py

Contribution Process

Fork the repository.
Create a feature branch (git checkout -b feature/amazing-feature).
Add tests for new features.
Ensure all tests pass (26/26).
Update documentation (README.md, CHANGELOG.md).
Commit changes (git commit -m 'Add amazing feature').
Push to branch (git push origin feature/amazing-feature).
Submit Pull Request.

Code Standards

Python 3.8+ compatibility
Type hints for all functions
Docstrings for all classes and methods
Unit tests for new features (target: 100% pass rate)
Integration tests for workflows
Honest metrics and documentation

Comparison with Other Tools

Feature	BugHunter v7.0	SQLMap	Nikto	Burp Community	OWASP ZAP
SQL Injection	Yes	Excellent	No	Good	Good
XSS Detection	Yes	No	Yes	Good	Good
CVE Database	Yes (45K)	No	Yes	No	No
ML Filtering	Yes (basic)	No	No	No	No
TLS Analysis	Yes	No	Yes	Yes	Limited
Cloud Scanning	Yes	No	No	Limited	No
Async Engine	Yes (500 req/s)	No	No	Excellent	Good
Plugin System	Yes	No	Yes	Excellent	Excellent
Price	Free	Free	Free	Free / $399 Pro	Free
Accuracy	100% (10 tests)	95%+	~70%	~98%	~85%

Honest Assessment:

BugHunter v7.0 is a solid tool for automated vulnerability scanning with integrated CVE database support. However, specialized tools excel in their domains:

SQLMap: Superior for SQL injection testing with advanced techniques.
Burp Suite Pro: Best for manual testing and advanced exploitation.
OWASP ZAP: Excellent for automated web app scanning with proxy.
Nikto: Fast web server scanning but higher false positives.

Recommendation: Use BugHunter v7.0 for comprehensive automated scanning with CVE integration, then deep-dive with specialized tools for specific vulnerability types.

FAQ

General Questions

Q: What makes v7.0 different from v6.0?
- A: v6.0 was marketing-driven with unimplemented claims ("100+ modules", "AI-powered", "10,000+ req/s"). v7.0 is a complete honest rewrite with 12 real modules, 26 passing tests, and documented limitations.
Q: Is this better than Burp Suite Pro?
- A: No. Burp Pro has 15+ years of development and is far more mature. BugHunter v7.0 is better for automated scanning with CVE database integration. Use Burp Pro for manual testing and advanced exploitation.
Q: Can I use this for bug bounties?
- A: Yes, if the program allows automated scanning. Always read program rules first. Some programs prohibit automated scanners.
Q: Is it production-ready?
- A: Yes, with caveats. It's stable and tested (26/26 tests passing), but the ML model needs real-world training data and more extensive testing is recommended before enterprise use.

Technical Questions

Q: How do I get an NVD API key?
- A: Request one at https://nvd.nist.gov/developers/request-an-api-key (free). This increases the rate limit from 5 req/30s to 50 req/30s.
Q: Can this detect zero-day vulnerabilities?
- A: No. It detects known vulnerability patterns and CVEs. Zero-day discovery requires manual analysis and research.
Q: Why is accuracy 100% but FP rate might differ in production?
- A: 100% accuracy is on a limited test set (10 cases). Production environments have more variability, which may reveal false positives not seen in testing.
Q: Does it support authenticated scanning?
- A: Basic cookie-based authentication is supported. OAuth, JWT, and SAML testing modules are planned for v7.1.0.
Q: Can I run distributed scans?
- A: Not yet. Distributed architecture is planned for v8.0.0. The current version supports Redis caching but not multi-node coordination.

Configuration Questions

Q: How do I configure scan intensity?
- A: Use scan modes (--mode quick|full|stealth|aggressive) or customize threads, depth, and delay parameters.
Q: How do I reduce false positives?
- A: Enable ML filtering (--enable-ml) and review for known limitations.
Q: Can I scan password-protected sites?
- A: Yes, use cookie-based authentication. Set cookies in the session or provide authentication credentials via the config file.

Support

Documentation

config.yaml.example: Complete configuration reference (100+ options).

Community

GitHub Issues: https://github.com/RicheByte/bugHunter/issues
GitHub Discussions: https://github.com/RicheByte/bugHunter/discussions

Reporting Bugs

When reporting bugs, please include:

BugHunter version (python bughunter.py --version)
Python version (python --version)
Operating system
Full command used
Error messages or unexpected behavior
Minimal reproducible example

Acknowledgments

Data Sources

NIST NVD: National Vulnerability Database.
ExploitDB: Offensive Security Exploit Database.
GitHub Security Advisory: Package vulnerability database.

Frameworks and Standards

OWASP: Testing methodologies and Top 10.
NIST CSF: Cybersecurity Framework.
PCI DSS: Payment Card Industry standards.
ISO 27001: Information security management.
CIS Controls: Center for Internet Security.

Open Source Libraries

aiohttp: Async HTTP client/server.
scikit-learn: Machine learning library.
BeautifulSoup: HTML/XML parsing.
APScheduler: Task scheduling.
pyOpenSSL: TLS/SSL analysis.

Community

Security researchers worldwide.
Bug bounty platforms (HackerOne, Bugcrowd, Synack).
Open source contributors.
Ethical hacking community.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
__pycache__		__pycache__
assets		assets
benchmark		benchmark
core		core
database		database
models		models
modules		modules
tests		tests
.audit_key		.audit_key
LICENSE		LICENSE
README.md		README.md
audit.db		audit.db
audit.jsonl		audit.jsonl
bughunter.py		bughunter.py
config.yaml.example		config.yaml.example
requirements.txt		requirements.txt

License

RicheByte/bugHunter

Folders and files

Latest commit

History

Repository files navigation

BugHunter Pro v7.0 - Vulnerability Scanner

Table of Contents

Overview

Architecture Overview

What's New in v7.0

Key Features

Core Infrastructure (Phase 1)

CVE Database Integration (Phase 2)

Advanced Scanning (Phase 3)

Specialized Modules (Phase 4)

Installation

Requirements

Quick Start

Dependencies

Usage Examples

Basic Scan

Full-Featured Scan

Quick Scan (Fast, Reduced Coverage)

Stealth Scan (Slow, Evasive)

With NVD API Key (Faster CVE Lookups)

CI/CD Integration

Command-Line Options

Basic Options

Advanced Features

Scan Modes

Reporting Options

Verbose Output

Configuration

Configuration File

Environment Variables

Testing

Test Suite

Performance Benchmarking

Test Results Summary

Performance Metrics

Honest Performance Numbers

Important Caveats

Project Structure

Database Schema

Compliance Mapping

NIST Cybersecurity Framework (CSF)

PCI DSS (Payment Card Industry Data Security Standard)

ISO 27001

CIS Controls

OWASP Top 10 (2021)

Roadmap

v7.1.0 (Q1 2026)

v8.0.0 (Q2-Q3 2026)

Security and Responsible Use

Legal Notice

Ethical Guidelines

Getting Authorization

API Rate Limits

NVD (National Vulnerability Database)

GitHub Advisory API

ExploitDB

Troubleshooting

Common Issues

Contributing

Development Setup

Contribution Process

Code Standards

Comparison with Other Tools

FAQ

General Questions

Technical Questions

Configuration Questions

Support

Documentation

Community

Reporting Bugs

Acknowledgments

Data Sources

Frameworks and Standards

Packages