DarkScraper v6.0 - Advanced Dark Web Resource Discovery Engine

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DarkScraper is a cutting-edge, Tor-powered reconnaissance tool designed for systematic discovery and cataloging of hidden services on the dark web. Unlike basic scrapers, DarkScraper employs multi-layered discovery techniques, adaptive resource management, and intelligent classification to uncover valuable resources while maintaining operational security.

Powered by a sophisticated architecture, DarkScraper combines:

• Tor-based anonymous crawling with automatic circuit rebuilding
• Machine-learning inspired resource classification
• Multi-threaded exploration with depth-controlled crawling
• Real-time resource monitoring and adaptive throttling
• Comprehensive metadata extraction and relationship mapping

Feature Highlights: ───────────────────

1. Autonomous Discovery System:

   • Multi-source seed generation from 5+ dark web search engines
   • Priority URL handling with specialized crawling rules
   • Automatic search engine discovery and integration

2. Intelligent Resource Classification:

   • 7-layer detection algorithm combining:
     • Content pattern recognition
     • Structural analysis (forms, tables, listings)
     • URL path heuristics
     • Semantic keyword scoring
   • Real-time classification of forums, markets, leak databases
   • Dynamic resource typing with confidence scoring

3. Adaptive Operation System:

   • Real-time CPU/RAM monitoring with auto-throttling
   • Low-resource mode activation (75% threshold default)
   • Progressive backoff during service degradation
   • Automatic garbage collection and memory optimization

4. Advanced Anonymity Features:

   • Tor identity rotation every 25 requests (configurable)
   • Randomized request timing with human-like patterns
   • Dynamic user-agent rotation from 100+ profiles
   • Referer spoofing from legitimate dark web sources

5. Comprehensive Data Collection:

   • Full metadata extraction (headers, forms, links)
   • Resource relationship mapping
   • Size-based content filtering (10MB max)
   • Content validation (500-character minimum)

6. Resilient Operation:

   • State persistence with auto-resume capability
   • Error assessment and intelligent recovery
   • Multi-phase interrupt handling
   • Deep exploration mode on demand

7. Enterprise-grade Reporting:

   • Statistical analysis of operations
   • Resource type distribution
   • Size-based categorization
   • Error diagnostics with remediation guidance

Command Reference with Complete Examples: ─────────────────────────────────────────

1. Standard Discovery Cycle: python darkscraper.py

   • Basic keyword discovery (25 built-in terms)
   • Depth-limited crawling (3 levels)
   • Output to default resources/ directory

2. Extended Discovery with Custom Parameters: python darkscraper.py
   --keywords "vpn,encryption,whistleblower"
   --max-depth 5
   --max-concurrent 8
   --delay-min 2.5
   --delay-max 5.0
   --resource-dir sensitive_data/

   • Custom keyword set
   • Deeper crawling (5 levels)
   • Increased concurrency (8 threads)
   • Longer delays between requests
   • Custom output directory

3. Endless Operation with Deep Exploration: python darkscraper.py
   -e -ed
   --auto-continue
   --merge-keywords
   --low-threshold 85

   • Continuous discovery cycles
   • Deeper exploration on interrupt
   • Auto-continue without prompts
   • Merged keyword processing
   • Higher resource threshold (85%)

4. Clearnet Research Mode: python darkscraper.py
   --no-tor
   --tor-port 9150
   --control-port 9151
   --keywords "privacy,tools,security"
   --resource-dir clearnet_research/

   • Disables Tor routing
   • Uses custom ports
   • Focused clearnet research
   • Dedicated output directory

5. Resource-Constrained Operation: python darkscraper.py
   --min-concurrent 1
   --max-concurrent 3
   --low-threshold 60
   --timeout 120

   • Conservative threading (1-3 concurrent)
   • Early low-resource activation (60% CPU/MEM)
   • Extended timeout (120 seconds)

6. Targeted Dark Web Investigation: python darkscraper.py
   --keywords "marketplace,vendor,cvv"
   --max-depth 4
   --delay-min 3.0
   --delay-max 7.0
   --merge-keywords

   • Focused high-risk keyword set
   • Extended crawl depth
   • Increased operational delays
   • Merged keyword analysis

7. Resume Interrupted Operation:

   After Ctrl+C interruption

   python darkscraper.py --auto-continue

   • Automatically resumes from last state
   • Preserves visited URLs and resources
   • Continues discovery cycle

Advanced Operational Guide: ──────────────────────────

Discovery Workflow:

1. Seed Generation:

   • Query multiple dark web search engines
   • Extract 150-300 seed URLs per keyword
   • Prioritize .onion domains and known resources

2. Depth-based Crawling:

   • Level 0: Seed URLs (direct search results)
   • Level 1: Discovered links from seed pages
   • Level 2: Links from promising resources
   • Level 3+: Specialized exploration of high-value targets

3. Resource Processing:

   • Content type detection
   • Metadata extraction
   • Relationship mapping
   • Classification and scoring

4. Continuous Enrichment:

   • New search engines added automatically
   • Priority URLs receive deeper analysis
   • Resource cross-linking between keywords

Performance Tuning:

• Increase --max-concurrent for high-bandwidth connections
• Adjust --delay-min/--delay-max for target responsiveness
• Lower --low-threshold for resource-constrained systems
• Use --merge-keywords for broad-scope investigations

Security Protocols:

• Tor circuit renewal every 25 requests (default)
• Strict .onion domain validation
• No JavaScript execution
• Automatic cleartext avoidance
• Zero persistent cookies

Output Analysis Tools:

1. Resource Explorer: jq '. | select(.type == "forum")' resources/*.json

   • Filter resources by type

2. Relationship Mapper: jq '.metadata.internal_links' resources/*.json | sort | uniq -c | sort -nr

   • Identify frequently linked resources

3. Timeline Analysis: jq '.discovered' resources/*.json | sort

   • Track discovery chronology

4. Content Analysis: jq -r 'select(.content_length > 10000) | .url' resources/*.json

   • Find large resources

Ethical Guidelines:

1. Legal Compliance:

   • Research only legal content
   • Check local jurisdiction laws
   • Never access prohibited materials

2. Operational Security:

   • Use on isolated systems
   • Enable full-disk encryption
   • Route through VPN+Tor (double anonymization)

3. Responsible Disclosure:

   • Report vulnerabilities to service owners
   • Never exploit discovered resources
   • Anonymize all research data

Warning: This tool provides access to unregulated networks. You may encounter:

• Illegal content and services
• Malicious actors and honeypots
• Disturbing and harmful materials
• Advanced monitoring systems

Use only with proper authorization, legal counsel, and psychological preparation. Maintain strict operational security protocols at all times.