- Executive Summary
- Architectural Overview
- Core Functionality Analysis
- Component Breakdown
- Data Flow Architecture
- Security Mechanisms
- Proxy Implementation Details
- Attack Vector Methodologies
- Configuration Parameters
- Dependencies & Requirements
- API Documentation
- Error Handling Procedures
- Logging Mechanisms
- Technical Specifications
- Database Schema
- Performance Optimization
- Migration Guide
HibernetV3.0 represents a sophisticated, multi-protocol network stress testing application designed for authorized penetration testing environments. The system has evolved from a legacy text-based proxy management approach to a modern, database-driven architecture supporting HTTP/1.1, HTTP/2, HTTP/3 (QUIC), WebSocket, and SOCKS4/5 protocols.
- Multi-Protocol Support: Native support for HTTP/1.1, HTTP/2, HTTP/3, WebSocket, SOCKS4/5
- Advanced Proxy Management: Database-driven proxy lifecycle with health monitoring
- Intelligent Anti-Detection: 370+ user agent rotation with pattern avoidance
- Connection Pooling: HTTP/1.1 connection reuse and management
- Real-time Analytics: Comprehensive metrics collection and dashboard
- Geographic Distribution: GeoIP-based proxy selection and rotation
- Concurrent Processing: Multi-threaded architecture with configurable parameters
┌─────────────────────────────────────────────────────────────────┐
│ HibernetV3.0 Architecture │
├─────────────────────────────────────────────────────────────────┤
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Legacy Core │ │ Enhanced Core │ │ Modern Core │ │
│ │ │ │ │ │ │ │
│ │ HibernetV3.0.py │ │ HiberProxy_ │ │ hiber_proxy/ │ │
│ │ HiberProxy.py │ │ Enhanced.py │ │ │ │
│ │ HiberSOCKS.py │ │ │ │ │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
├─────────────────────────────────────────────────────────────────┤
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Protocol Layer │ │ Database Layer │ │ Utility Layer │ │
│ │ │ │ │ │ │ │
│ │ • HTTP/1.1 │ │ • SQLite3 │ │ • Configuration │ │
│ │ • HTTP/2 │ │ • Connection │ │ • Error Handler │ │
│ │ • HTTP/3 │ │ Pooling │ │ • User Agents │ │
│ │ • WebSocket │ │ • Statistics │ │ • Validation │ │
│ │ • SOCKS4/5 │ │ • Migration │ │ • Logging │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
The system follows a layered architecture with clear separation of concerns:
- Presentation Layer: CLI interfaces and real-time dashboards
- Business Logic Layer: Stress testing algorithms and proxy management
- Protocol Layer: Multi-protocol handlers and connection management
- Data Access Layer: Database operations and file I/O
- Infrastructure Layer: Configuration, logging, and error handling
- Purpose: Core stress testing application with enhanced protocol support
- Size: 3,357 lines of code
- Key Features:
- HTTP/2 connection management with multiplexing
- HTTP/3 (QUIC) support for modern protocols
- WebSocket stress testing capabilities
- Advanced user agent rotation (370+ signatures)
- Real-time performance monitoring
- Multi-threaded request generation
- Purpose: Original proxy acquisition and validation systems
- HiberProxy.py: 625 lines - HTTP proxy management
- HiberSOCKS.py: 605 lines - SOCKS proxy specialization
- Features:
- Web scraping from multiple sources
- Multi-threaded health checking
- Text-based storage format
- Basic validation and filtering
- Purpose: Modern, database-driven proxy management
- Architecture: Modular design with clear separation
- Key Modules:
- Database management with connection pooling
- Multi-protocol validation and checking
- Intelligent error handling and recovery
- Configuration management system
class HTTP2ConnectionManager:
def __init__(self, proxy_config):
self.connections = {}
self.connection_pool_size = 10
self.max_streams_per_connection = 100
def get_connection(self, host, port):
# Connection pooling with multiplexing support
# Implements HTTP/2 stream management
# Handles connection lifecycleclass WebSocketStressTester:
def __init__(self, target_url, proxy_config):
self.target_url = target_url
self.proxy_config = proxy_config
self.connection_pool = []
def perform_stress_test(self, num_connections, duration):
# Concurrent WebSocket connections
# Message flooding capabilities
# Connection state monitoring- Connection Pooling: Thread-safe SQLite connection management
- Data Models: Structured proxy, statistics, and source tracking
- Schema Management: Automatic table creation and indexing
- Performance Optimization: Query optimization and caching
@dataclass
class ProxyModel:
id: Optional[int] = None
host: str = ""
port: int = 0
protocol: str = "http"
username: Optional[str] = None
password: Optional[str] = None
country: Optional[str] = None
city: Optional[str] = None
is_working: bool = True
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None- HTTPProxyHandler: Standard HTTP proxy connections
- HTTPSProxyHandler: SSL/TLS encrypted connections
- SOCKS4ProxyHandler: SOCKS4 protocol implementation
- SOCKS5ProxyHandler: SOCKS5 with authentication support
class ProxyChecker:
def __init__(self, timeout: int = 30, max_concurrent: int = 50):
self.handlers = {
ProxyProtocol.HTTP: HTTPProxyHandler,
ProxyProtocol.HTTPS: HTTPSProxyHandler,
ProxyProtocol.SOCKS4: SOCKS4ProxyHandler,
ProxyProtocol.SOCKS5: SOCKS5ProxyHandler,
}- IP Validation: IPv4/IPv6 support with private range detection
- Port Validation: Protocol-specific port range checking
- Format Parsing: Multiple proxy string format support
- Configurable Rules: Customizable validation parameters
- Exception Hierarchy: Categorized error types with severity levels
- Recovery Mechanisms: Automated retry strategies
- Context Preservation: Detailed error information for debugging
- User-Friendly Messages: Clear error reporting with suggestions
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ User Input │───▶│ Configuration │───▶│ Validation │
│ │ │ Processing │ │ & Parsing │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Proxy Loading │ │ Protocol Detect │ │ Connection Pool │
│ & Filtering │ │ & Validation │ │ Management │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Thread Creation │ │ Request Generation│ │ Response Handling│
│ & Management │ │ & Transmission │ │ & Statistics │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
▼
┌─────────────────┐
│ Results Export │
│ & Reporting │
└─────────────────┘
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Proxy Discovery │───▶│ Validation │───▶│ Database Insert│
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Health Checking │ │ Statistics Update│ │ Performance Track│
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Status Updates │ │ Cleanup Tasks │ │ Export & Backup│
└─────────────────┘ └─────────────────┘ └─────────────────┘
The system implements sophisticated user agent rotation with 370+ legitimate browser signatures:
class IntelligentUserAgentRotator:
def __init__(self, min_rotation_interval: int = 300,
max_same_agent_usage: int = 10,
detection_threshold: float = 20.0):
self.strategy_weights = {
'popularity': 0.3, # Prefer popular agents
'success_rate': 0.4, # Prefer successful agents
'freshness': 0.2, # Prefer less recently used agents
'randomness': 0.1 # Add some randomness
}- Randomized Timing: Variable delays between requests
- Header Randomization: Dynamic HTTP header modification
- Connection Patterns: Realistic connection behavior simulation
- Traffic Distribution: Geographic proxy rotation
- HTTP Basic Authentication: Username/password combinations
- SOCKS5 Authentication: Username/password for SOCKS5 proxies
- Token-based Authentication: Custom authentication headers
- SSL/TLS Verification: Configurable certificate validation
- Encryption Support: Protocol-specific encryption handling
- Timeout Management: Connection timeout protection
- Rate Limiting: Request rate control mechanisms
PROXY_SOURCES = [
'https://www.proxy-list.download/api/v1/get?type=http',
'https://free-proxy-list.net/',
'http://spys.me/proxy.txt',
'https://raw.githubusercontent.com/clarketm/proxy-list/master/proxy-list-raw.txt'
]- GitHub Repositories: Automated scraping from proxy repositories
- API Endpoints: Direct integration with proxy APIs
- Custom Sources: User-defined proxy sources
- Manual Import: File-based proxy import capabilities
class ProxyValidator:
def validate_proxy_format(self, host: str, port: Union[int, str],
protocol: str = 'http') -> bool:
# IP/hostname validation
# Port range verification
# Protocol compatibility check
# Format parsing validation- IP Address Validation: IPv4/IPv6 with private range detection
- Port Validation: 1-65535 range with protocol-specific checks
- Protocol Detection: Automatic protocol identification
- Format Parsing: Multiple input format support
class ProxyChecker:
def check_proxy(self, host: str, port: int, protocol: ProxyProtocol,
username: Optional[str] = None, password: Optional[str] = None,
test_url: Optional[str] = None) -> ProxyCheckResult:
# Multi-protocol connectivity testing
# Response time measurement
# Success rate tracking
# Error categorization- Response Time: Connection latency measurement
- Success Rate: Percentage of successful connections
- Availability: Uptime tracking over time
- Geographic Performance: Location-based performance analysis
class RequestProxyHTTP:
def __init__(self, target, proxy=None, user_agent=None):
self.target = target
self.proxy = proxy
self.user_agent = user_agent
self.session = requests.Session()
def flood_attack(self, num_requests, duration):
# High-volume HTTP request generation
# Connection pooling for efficiency
# Error handling and retry logic
# Performance monitoring- Volume-based: High request rate targeting
- Resource Exhaustion: Server resource consumption
- Connection Flooding: TCP connection exhaustion
- Application-layer: Protocol-specific targeting
class WebSocketStressTester:
async def stress_test_websocket(self, num_connections, duration):
# Concurrent WebSocket connections
# Message flooding capabilities
# Connection state monitoring
# Resource usage tracking- Connection Flooding: Maximum connection attempts
- Message Flooding: High-frequency message transmission
- Protocol Abuse: WebSocket protocol edge cases
- Resource Consumption: Memory and CPU utilization
- Stream Flooding: Multiple stream creation
- Header Compression: HPACK manipulation
- Flow Control: Window size manipulation
- Priority Manipulation: Stream priority abuse
- Connection Migration: IP address changes
- Packet Loss Simulation: Network condition testing
- Stream Multiplexing: Concurrent stream handling
- 0-RTT Attacks: Connection resumption abuse
{
"description": "HibernetV3.0 Configuration File",
"test_settings": {
"threads": 1000,
"duration": 120,
"multiplication": 2,
"rate_limit": null,
"protocol": "auto",
"test_type": "http_flood"
},
"proxy_settings": {
"proxy_file": "proxies.txt",
"proxy_type": "http",
"proxy_rotation": "health_based",
"geoip_db": null
},
"output_settings": {
"real_time_dashboard": true,
"dashboard_interval": 3.0,
"quiet": false,
"verbose": false,
"export_csv": "results.csv",
"export_json": "report.json"
},
"advanced_settings": {
"user_agents_file": null,
"headers_file": null,
"session_id": "hibernet-test"
}
}@dataclass
class DatabaseConfig:
path: str = "hiber_proxy.db"
connection_pool_size: int = 10
timeout: int = 30
backup_enabled: bool = True
backup_interval: int = 3600@dataclass
class LoggingConfig:
level: str = "INFO"
log_dir: str = "logs"
enable_console: bool = True
enable_file: bool = True
enable_json: bool = False
max_file_size: int = 10 * 1024 * 1024
backup_count: int = 5@dataclass
class ValidationConfig:
strict_ip_validation: bool = True
allow_private_ips: bool = False
allow_localhost: bool = False
port_range_min: int = 1
port_range_max: int = 65535# Database Configuration
HIBER_DB_PATH=/path/to/database.db
HIBER_LOG_LEVEL=DEBUG
HIBER_LOG_DIR=/path/to/logs
# Testing Configuration
HIBER_SCRAPE_TIMEOUT=30
HIBER_CHECK_TIMEOUT=60
HIBER_CHECK_URL=http://www.google.com
HIBER_CONCURRENT_CHECKS=50# HTTP/2 support
h2>=4.1.0
# HTTP/3 (QUIC) support
aioquic>=0.9.20
# WebSocket support
websockets>=11.0
# GeoIP support for proxy geolocation
geoip2>=4.6.0
# SOCKS proxy support
PySocks>=1.7.1
# Additional useful libraries
requests>=2.28.0- Python: 3.8+
- RAM: 512MB minimum, 2GB recommended
- Storage: 100MB for application, additional for databases
- Network: Stable internet connection
- Python: 3.10+
- RAM: 4GB for large-scale testing
- Storage: 1GB for comprehensive proxy databases
- Network: High-bandwidth connection for optimal performance
- Linux: Full support (primary platform)
- Windows: Full support with minor path adjustments
- macOS: Full support
- Docker: Containerization support available
class DatabaseManager:
def __init__(self, db_path: str = "hiber_proxy.db", pool_size: int = 10):
"""Initialize database manager with connection pooling"""
def add_proxy(self, proxy: ProxyModel) -> int:
"""Add a new proxy to the database"""
def get_proxies(self, protocol: Optional[str] = None,
working_only: bool = True, limit: Optional[int] = None) -> List[ProxyModel]:
"""Get list of proxies with optional filtering"""
def update_proxy_stats(self, proxy_id: int, success: bool,
response_time: Optional[float] = None):
"""Update proxy statistics after a check"""class ProxyChecker:
def __init__(self, timeout: int = 30, max_concurrent: int = 50):
"""Initialize proxy checker with concurrency limits"""
def check_proxy(self, host: str, port: int, protocol: ProxyProtocol,
username: Optional[str] = None, password: Optional[str] = None) -> ProxyCheckResult:
"""Check a single proxy for connectivity"""
def check_multiple_protocols(self, host: str, port: int,
protocols: List[ProxyProtocol]) -> Dict[ProxyProtocol, ProxyCheckResult]:
"""Check a proxy against multiple protocols"""class IntelligentUserAgentRotator:
def __init__(self, min_rotation_interval: int = 300,
max_same_agent_usage: int = 10):
"""Initialize intelligent user agent rotation system"""
def get_user_agent(self, force_rotation: bool = False,
preferred_category: Optional[UserAgentCategory] = None) -> str:
"""Get a user agent with intelligent rotation"""
def report_result(self, success: bool, detected: bool = False):
"""Report the result of using current user agent"""python HibernetV3.0.py --help
Usage: HibernetV3.0.py [OPTIONS] TARGET
Options:
--threads INTEGER Number of concurrent threads (default: 100)
--duration INTEGER Test duration in seconds (default: 60)
--proxy-file TEXT Path to proxy file
--protocol [http|http2|http3|websocket] Protocol to use
--user-agents TEXT Path to user agents file
--output-csv TEXT CSV output file
--output-json TEXT JSON output file
--quiet Suppress output
--verbose Verbose loggingpython -m hiber_proxy --help
Commands:
scrape Scrape proxies from various sources
check Check proxy connectivity
export Export proxies to file
import Import proxies from file
stats Show proxy statistics
clean Clean failed proxiesclass HiberProxyError(Exception):
"""Base exception class for HiberProxy Enhanced"""
def __init__(self, message: str, category: ErrorCategory = ErrorCategory.NETWORK,
severity: ErrorSeverity = ErrorSeverity.MEDIUM,
recoverable: bool = True, recovery_suggestions: Optional[List[str]] = None):class ProxyConnectionError(HiberProxyError):
"""Raised when proxy connection fails"""
recovery_suggestions = [
"Check if proxy server is running",
"Verify network connectivity",
"Try increasing timeout value",
"Check firewall settings"
]class ProxyValidationError(HiberProxyError):
"""Raised when proxy validation fails"""
recovery_suggestions = [
"Check proxy format (IP:PORT or protocol://IP:PORT)",
"Verify IP address is valid",
"Ensure port is in valid range (1-65535)"
]@handle_errors(operation="proxy_check", max_retries=3, retry_delay=2.0)
def check_proxy_with_retry(proxy_info):
# Automatic retry with exponential backoff
# Error categorization and logging
# Recovery suggestion generation- Proxy Failures: Automatic fallback to alternative proxies
- Protocol Failures: Fallback to alternative protocols
- Database Errors: Temporary file-based storage
- Network Issues: Retry with increased timeouts
@dataclass
class LoggingConfig:
level: str = "INFO"
log_dir: str = "logs"
enable_console: bool = True
enable_file: bool = True
enable_json: bool = False
max_file_size: int = 10 * 1024 * 1024 # 10MB
backup_count: int = 5- INFO: General application flow
- DEBUG: Detailed debugging information
- WARNING: Non-critical issues
- ERROR: Error conditions
- CRITICAL: Critical system failures
- Response Times: Request/response latency
- Throughput: Requests per second
- Resource Usage: CPU and memory utilization
- Connection Statistics: Active connections and pools
- Authentication Events: Login attempts and failures
- Access Control: Permission violations
- Detection Events: Anti-detection system triggers
- Proxy Status: Proxy health and availability
2024-01-15 10:30:45,123 - hiber_proxy.database - INFO - Added proxy: 192.168.1.100:8080 (http)
2024-01-15 10:30:46,456 - hiber_proxy.protocols - DEBUG - Proxy check: 192.168.1.100:8080 (http) - Success: True, Time: 1.234s
2024-01-15 10:30:47,789 - hiber_proxy.user_agents - WARNING - Detection incident reported for agent: Mozilla/5.0...
{
"timestamp": "2024-01-15T10:30:45.123Z",
"level": "INFO",
"logger": "hiber_proxy.database",
"message": "Added proxy: 192.168.1.100:8080 (http)",
"context": {
"operation": "add_proxy",
"host": "192.168.1.100",
"port": 8080,
"protocol": "http"
}
}- HTTP Requests: Up to 10,000 requests/second per thread
- Concurrent Connections: 1000+ simultaneous connections
- Proxy Processing: 100+ proxies checked per minute
- Database Operations: 1000+ insert/update operations per second
- Memory Usage: ~50MB base + ~1MB per 1000 proxies
- CPU Usage: Scales with thread count and request rate
- Network Bandwidth: Variable based on target and proxy count
- Storage: ~1KB per proxy record in database
| Protocol | Version | Authentication | Encryption | Status |
|---|---|---|---|---|
| HTTP | 1.1 | Basic, Digest | Optional | ✅ Full |
| HTTP | 2.0 | Basic, Digest | TLS | ✅ Full |
| HTTP | 3.0 | Basic, Digest | QUIC/TLS | ✅ Full |
| WebSocket | RFC6455 | Basic | TLS | ✅ Full |
| SOCKS | 4 | None | None | ✅ Full |
| SOCKS | 5 | User/Pass | Optional | ✅ Full |
- Schema Version: 1.0
- SQLite Version: 3.35+
- WAL Mode: Enabled for concurrent access
- Foreign Keys: Enabled for referential integrity
- Indexes: Composite indexes on frequently queried columns
- Connection Pooling: Thread-safe connection management
- Prepared Statements: Optimized query execution
- Batch Operations: Bulk insert/update capabilities
CREATE TABLE proxies (
id INTEGER PRIMARY KEY AUTOINCREMENT,
host TEXT NOT NULL,
port INTEGER NOT NULL,
protocol TEXT NOT NULL DEFAULT 'http',
username TEXT,
password TEXT,
country TEXT,
city TEXT,
is_working BOOLEAN DEFAULT 1,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(host, port, protocol)
);CREATE TABLE proxy_stats (
id INTEGER PRIMARY KEY AUTOINCREMENT,
proxy_id INTEGER NOT NULL,
success_count INTEGER DEFAULT 0,
failure_count INTEGER DEFAULT 0,
total_response_time REAL DEFAULT 0.0,
last_used TIMESTAMP,
last_check TIMESTAMP,
consecutive_failures INTEGER DEFAULT 0,
average_response_time REAL DEFAULT 0.0,
FOREIGN KEY (proxy_id) REFERENCES proxies (id) ON DELETE CASCADE
);CREATE TABLE proxy_sources (
id INTEGER PRIMARY KEY AUTOINCREMENT,
url TEXT UNIQUE NOT NULL,
name TEXT NOT NULL,
is_active BOOLEAN DEFAULT 1,
last_scraped TIMESTAMP,
success_count INTEGER DEFAULT 0,
failure_count INTEGER DEFAULT 0,
proxies_found INTEGER DEFAULT 0,
scrape_interval INTEGER DEFAULT 3600
);CREATE INDEX idx_proxies_host_port ON proxies(host, port);
CREATE INDEX idx_proxies_protocol ON proxies(protocol);
CREATE INDEX idx_proxies_working ON proxies(is_working);
CREATE INDEX idx_stats_proxy_id ON proxy_stats(proxy_id);
CREATE INDEX idx_sources_active ON proxy_sources(is_active);class ThreadPoolManager:
def __init__(self, max_workers: int = 100):
self.executor = ThreadPoolExecutor(max_workers=max_workers)
self.active_tasks = {}
self.completed_tasks = 0
def submit_task(self, func, *args, **kwargs):
future = self.executor.submit(func, *args, **kwargs)
self.active_tasks[future] = (func.__name__, time
future = self.executor.submit(func, *args, **kwargs)
self.active_tasks[future] = (func.__name__, time.time())
return future- HTTP/1.1 Keep-Alive: Connection reuse for multiple requests
- HTTP/2 Multiplexing: Multiple streams over single connection
- Database Connection Pooling: Thread-safe SQLite connection management
- Proxy Connection Caching: Validated proxy connection reuse
- Lazy Loading: Load proxies on-demand
- Garbage Collection: Automatic cleanup of unused objects
- Memory Pools: Reuse of memory allocations
- Data Compression: Efficient storage of proxy data
# Estimated memory usage per component:
# - Base application: ~50MB
# - Per proxy record: ~1KB
# - Per active connection: ~10KB
# - User agent database: ~2MB
# - Statistics cache: ~5MB per 1000 proxies- Export Legacy Data: Extract proxies from text files
- Validate Format: Ensure proxy format compatibility
- Database Import: Bulk import to SQLite database
- Verification: Validate data integrity
- Performance Testing: Verify system performance
def migrate_legacy_proxies():
"""Migrate proxies from legacy text format to enhanced database"""
# Read legacy proxy files
legacy_proxies = read_legacy_proxy_file("proxies.txt")
# Initialize enhanced database
db_manager = DatabaseManager("hiber_proxy.db")
validator = ProxyValidator()
migrated_count = 0
for proxy_string in legacy_proxies:
is_valid, parsed = validator.validate_proxy_string(proxy_string)
if is_valid:
proxy = ProxyModel(
host=parsed['host'],
port=int(parsed['port']),
protocol=parsed['protocol'],
username=parsed.get('username'),
password=parsed.get('password')
)
db_manager.add_proxy(proxy)
migrated_count += 1
print(f"Successfully migrated {migrated_count} proxies")# Old format (hardcoded values)
THREADS = 100
DURATION = 60
PROXY_FILE = "proxies.txt"{
"test_settings": {
"threads": 100,
"duration": 60
},
"proxy_settings": {
"proxy_file": "proxies.txt",
"database_path": "hiber_proxy.db"
}
}Issue: Database locked error Solution:
# Enable WAL mode for concurrent access
connection.execute("PRAGMA journal_mode=WAL")Issue: Connection pool exhaustion Solution: Increase pool size or implement connection recycling
Issue: High proxy failure rate Solution:
- Increase validation timeout
- Enable automatic proxy rotation
- Check proxy source quality
Issue: Detection by target servers Solution:
- Enable user agent rotation
- Increase request delays
- Use geographic proxy distribution
Issue: High memory usage Solution:
- Reduce proxy cache size
- Enable garbage collection
- Use streaming operations for large datasets
Issue: Slow response times Solution:
- Optimize database queries
- Increase connection pool size
- Enable connection keep-alive
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('debug.log'),
logging.StreamHandler()
]
)import cProfile
import pstats
def profile_stress_test():
profiler = cProfile.Profile()
profiler.enable()
# Run stress test
run_stress_test()
profiler.disable()
stats = pstats.Stats(profiler)
stats.sort_stats('cumulative')
stats.print_stats(20)- Written Authorization: Always obtain explicit written permission
- Scope Definition: Clearly define testing boundaries
- Legal Compliance: Ensure compliance with local laws
- Documentation: Maintain detailed testing records
- Vulnerability Reporting: Report findings through proper channels
- Evidence Preservation: Maintain evidence for analysis
- Remediation Support: Assist with vulnerability remediation
- Timeline Management: Follow responsible disclosure timelines
- Network Isolation: Use isolated testing networks
- Access Control: Implement proper authentication
- Audit Logging: Maintain comprehensive audit trails
- Data Protection: Encrypt sensitive configuration data
- Authentication: Use authenticated proxies when possible
- Encryption: Prefer HTTPS and SOCKS5 with encryption
- Validation: Verify proxy authenticity and ownership
- Rotation: Implement proper proxy rotation strategies
HibernetV3.0 represents a comprehensive evolution of network stress testing capabilities, transitioning from a legacy text-based system to a modern, database-driven architecture. The system demonstrates sophisticated engineering with support for multiple protocols, intelligent anti-detection mechanisms, and comprehensive proxy management.
- Multi-Protocol Support: Native implementation of HTTP/1.1, HTTP/2, HTTP/3, WebSocket, and SOCKS protocols
- Advanced Proxy Management: Database-driven lifecycle management with health monitoring
- Intelligent Anti-Detection: Sophisticated user agent rotation and pattern avoidance
- Scalable Architecture: Thread-safe, concurrent design supporting high-volume testing
- Comprehensive Documentation: Detailed technical specifications and usage guidelines
- Container Support: Docker containerization for deployment flexibility
- API Interface: RESTful API for programmatic access
- Distributed Testing: Multi-node testing coordination
- Enhanced Analytics: Machine learning-based performance optimization
- Cloud Integration: Native cloud platform support
This documentation serves as the definitive technical reference for HibernetV3.0. Regular updates should be maintained to reflect system evolution and ensure continued effectiveness for authorized penetration testing activities.
Document Version: 1.0
Last Updated: January 2024
Compatibility: HibernetV3.0 and Enhanced Proxy System
Author: Network Security Research Team
# Basic stress test
python HibernetV3.0.py http://target.example.com --threads 100 --duration 60
# With custom proxy file
python HibernetV3.0.py http://target.example.com --proxy-file custom_proxies.txt
# Enhanced proxy management
python -m hiber_proxy scrape --sources github --validate
python -m hiber_proxy check --protocol http --timeout 30
python -m hiber_proxy export --format json --output proxies.json# Environment variable configuration
export HIBER_DB_PATH=/opt/hibernet/database.db
export HIBER_LOG_LEVEL=DEBUG
export HIBER_CONCURRENT_CHECKS=100
# Database operations
python -m hiber_proxy stats --detailed
python -m hiber_proxy clean --max-failures 5
python -m hiber_proxy backup --output backup_$(date +%Y%m%d).dbHibernetV3.0/
├── HibernetV3.0.py # Main stress testing application
├── HiberProxy.py # Legacy HTTP proxy management
├── HiberSOCKS.py # Legacy SOCKS proxy management
├── HiberProxy_Enhanced.py # Bridge between legacy and modern
├── config.json # Main configuration file
├── requirements.txt # Python dependencies
├── targets.txt # Target list file
├── hiber_proxy/ # Modern proxy management system
│ ├── __init__.py
│ ├── main.py # CLI interface
│ ├── core/
│ │ ├── database.py # Database management
│ │ ├── protocols.py # Multi-protocol support
│ │ ├── validation.py # Validation framework
│ │ ├── exceptions.py # Exception handling
│ │ ├── error_handler.py # Error management
│ │ └── user_agents.py # User agent rotation
│ ├── utils/
│ │ └── config.py # Configuration management
│ └── scrapers/
│ └── github_scrapers.py # GitHub proxy scrapers
└── TECHNICAL_DOCUMENTATION.md # This documentation
-- Optimize database performance
PRAGMA journal_mode=WAL;
PRAGMA synchronous=NORMAL;
PRAGMA cache_size=10000;
PRAGMA temp_store=memory;# Optimal thread counts based on system resources
CPU_COUNT = os.cpu_count()
OPTIMAL_THREADS = {
'io_bound': CPU_COUNT * 4, # For network operations
'cpu_bound': CPU_COUNT, # For processing tasks
'mixed': CPU_COUNT * 2 # For mixed workloads
}# Memory-efficient proxy processing
def process_proxies_in_batches(proxies, batch_size=1000):
for i in range(0, len(proxies), batch_size):
batch = proxies[i:i + batch_size]
yield batch
# Allow garbage collection between batches
gc.collect()End of Documentation