Deep Eye

Advanced AI-Driven Penetration Testing Tool

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Deep Eye orchestrates multiple AI providers (OpenAI, Claude, Grok, Gemini, OLLAMA, Groq, Mistral, OpenRouter, LiteLLM, LM Studio) for intelligent payload generation, scans targets for 45+ vulnerability types, and produces professional reports with compliance mapping.

Features

• Multi-AI Provider Support — Dynamic switching and failover across 10 AI providers
• 45+ Vulnerability Scanners — SQLi, XSS, SSRF, XXE, SSTI, RCE, deserialization, JWT, OAuth, and more
• Context-Aware Payloads — WAF detection, tech stack fingerprinting, database-specific injection
• CVE Intelligence — RAG-indexed CVE database with real exploit patterns from NVD/MITRE/Exploit-DB
• AI Triage — Automated false-positive filtering and bug bounty report generation
• Nuclei-Style Templates — YAML-based custom vulnerability templates with matchers/extractors
• Browser Automation — Playwright + Browser Use AI for client-side testing
• Challenge Bypass — Cloudflare/Akamai challenge solver with cookie persistence
• Intercepting Proxy — mitmproxy-based traffic interception and modification
• Compliance Mapping — PCI-DSS v4, SOC2 CC, ISO 27001:2022 framework mapping
• Export Formats — HTML, PDF, JSON, JUnit XML, CSV, XLSX
• Scan Diffing — Compare scans to track new/fixed vulnerabilities over time
• Collaborative Scanning — Team-based distributed scanning with session management
• Notifications — Real-time alerts via Email, Slack, Discord

Requirements

• Python 3.8+
• At least one AI provider API key (or local OLLAMA)
• Playwright (optional, for browser-based testing)

Installation

Windows:

.\scripts\install.ps1

Linux/Mac:

chmod +x scripts/install.sh && ./scripts/install.sh

Manual:

pip install -r requirements.txt
cp config/config.example.yaml config/config.yaml
# Edit config.yaml with your API keys

Browser automation (optional):

pip install playwright && playwright install chromium

Usage

Basic Scan

python deep_eye.py -u https://target.com

With Configuration File

python deep_eye.py -c config/config.yaml

Verbose Output

python deep_eye.py -u https://target.com -v

Export in Multiple Formats

python deep_eye.py -u https://target.com --formats junit,csv,xlsx

Scan Diffing

Compare two scan results to see what changed:

python deep_eye.py --diff baseline.json current.json --diff-format html --diff-output diff_report.html

CLI Reference

Flag	Description
-u, --url	Target URL (overrides config)
-c, --config	Config file path (default: config/config.yaml)
-v, --verbose	Verbose output
--version	Show version
--no-banner	Disable ASCII banner
--formats	Comma-separated export formats: junit,csv,xlsx
--diff	Diff two scan JSON files (positional: BASELINE CURRENT)
--diff-output	Output path for diff report
--diff-format	Diff format: html, json, csv

Configuration

All behavior is controlled via config/config.yaml. The CLI is intentionally minimal.

AI Providers

Configure one or more providers:

ai_providers:
  openai:
    enabled: true
    api_key: "sk-..."
    model: "gpt-4o"
  claude:
    enabled: true
    api_key: "sk-ant-..."
    model: "claude-3-5-sonnet-20241022"
  ollama:
    enabled: true
    base_url: "http://localhost:11434"
    model: "llama2"

Supported: openai, claude, grok, ollama, gemini, openrouter, mistral, groq, lmstudio, litellm

Scanner Settings

scanner:
  target_url: "https://target.com"
  default_threads: 5          # 1-50
  default_depth: 2            # crawl depth
  enable_recon: true
  full_scan: false
  ai_provider: "openai"

Vulnerability Checks

vulnerability_scanner:
  enabled_checks:
    - sql_injection
    - xss
    - command_injection
    - ssrf
    - ssti
    - lfi
    - rfi
    - jwt_vulnerabilities
    # ... 45+ available checks
  payload_generation:
    use_ai: true
    context_aware: true
    cve_database: true

Compliance Mapping

compliance:
  enabled: true
  frameworks:
    - pci_dss
    - soc2
    - iso_27001

AI Triage

ai_triage:
  enabled: true
  drop_false_positives: true
  drop_threshold: 0.8
  min_severity: "low"

bug_bounty:
  enabled: true
  format: "markdown"
  min_severity: "medium"
  output_directory: "reports/bounty"

Nuclei-Style Templates

templates:
  enabled: true
  template_directories:
    - "templates/nuclei"
  tag_filters:
    - "cve"
    - "rce"
  severity_filter: "critical,high"

Challenge Solver

challenge_solver:
  enabled: true
  vendors:
    - "cloudflare"
    - "akamai"
  playwright_headless: true
  cookie_ttl_seconds: 1800

Reporting

reporting:
  enabled: true
  output_directory: "reports"
  default_format: "html"
  formats:
    - html
    - pdf
    - json
    - junit
    - csv
    - xlsx

Experimental Features

experimental:
  enable_cve_matching: true
  enable_subdomain_scanning: true
  max_subdomains_to_scan: 50

Scripts

# Update CVE intelligence database from NVD
python scripts/update_cve_database.py

# Build RAG vector index for CVE search
python scripts/build_cve_rag_index.py

Testing

# Run all tests
pytest

# Run specific test
pytest tests/test_export_formats.py -v

# E2E test (requires API key)
python tests/e2e_litellm.py

Project Structure

deep-eye/
├── deep_eye.py              # Entry point
├── core/                    # Orchestration layer
│   ├── scanner_engine.py    # Main scan orchestrator (ThreadPoolExecutor)
│   ├── vulnerability_scanner.py  # 45+ vuln checks
│   ├── ai_payload_generator.py   # AI-powered payload gen
│   ├── report_generator.py       # PDF/HTML/JSON reports
│   ├── scan_diff.py              # Scan comparison
│   └── pentest_state_manager.py  # Phase/progress tracking
├── ai_providers/            # 10 AI provider integrations
├── modules/                 # Specialized security testers
│   ├── ai_triage/           # False-positive filtering + bounty writer
│   ├── template_engine/     # Nuclei-style YAML templates
│   ├── challenge_solver/    # CF/Akamai challenge bypass
│   ├── intercepting_proxy/  # mitmproxy interceptor
│   ├── captcha_detection/   # CAPTCHA detect + login replay
│   ├── cve_intelligence/    # CVE scraper + RAG index
│   ├── browser_automation/  # Playwright + Browser Use AI
│   └── ...                  # 25+ more modules
├── utils/
│   ├── exports/             # JUnit, CSV, XLSX builders
│   ├── compliance/          # PCI-DSS, SOC2, ISO 27001 mapping
│   └── ...                  # http_client, logger, parser, etc.
├── config/
│   └── config.example.yaml  # Full configuration reference
├── scripts/                 # CVE updater, RAG builder
├── tests/                   # pytest test suite
└── reports/                 # Generated output (gitignored)

Vulnerability Coverage

Core (v1.0+)

SQL Injection (error/blind/time-based), XSS (reflected/stored/DOM), Command Injection, SSRF, XXE, Path Traversal, CSRF, Open Redirect, CORS Misconfiguration, Security Headers

Extended (v1.1-1.3)

API Security (OWASP API Top 10), GraphQL, Business Logic, Authentication/Session, File Upload, WebSocket, ML Anomaly Detection, OSINT, Payload Obfuscation, LFI/RFI, SSTI, CRLF, Host Header Injection, LDAP Injection, Insecure Deserialization, JWT, Broken Auth

Advanced (v1.4+)

NoSQL Injection, HTTP Smuggling, Race Conditions, Log4Shell, Mass Assignment, Prototype Pollution, OAuth, Cache Poisoning, Subdomain Takeover, SAML Attacks, Port Scanning, Directory Bruteforce, Secret Scanning

Legal Disclaimer

Deep Eye is designed for authorized security testing only.

• Only use on systems you own or have explicit written permission to test
• Unauthorized access to computer systems is illegal
• Users are responsible for complying with all applicable laws
• The developers assume no liability for misuse

License

MIT License. See LICENSE for details.

Links

• Quick Start Guide
• Architecture
• Changelog
• Issues