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nox-framework β€” High-performance OSINT/CTI framework for automated identity pivoting and risk analysis across 120+ sources. | Kitploit
Tools/GitHubGitHub/nox-project/nox-framework
OSINT (Open Source Intelligence)Password CrackingReconnaissanceVulnerability AnalysisData ExfiltrationInformation GatheringDigital ForensicsPenetration TestingThreat IntelligenceRed TeamingCrawler
32544365 months agoReviewed by Kitploit

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nox-project/nox-framework

nox-framework

High-performance OSINT/CTI framework for automated identity pivoting and risk analysis across 120+ sources.

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Cyber Threat Intelligence Framework

Status Python License Kali Linux BlackArch Platform Sources

OSINT framework for red teaming, digital forensics, and corporate exposure analysis.


Introduction

NOX is a purpose-built cyber threat intelligence engine designed for operators who require speed, operational security, and depth in a single cohesive framework. It is not a wrapper around existing tools β€” it is a fully async, plugin-driven intelligence platform with a strict separation between execution logic and source definitions.

CapabilityDetail
⚑ Async Execution EngineMassively parallel scanning across 124 intelligence feeds with no sequential bottlenecks and no blocking I/O.
πŸ›‘οΈ Guardian EngineIntegrated OPSEC layer with automatic proxy rotation and SOCKS5 support. Fail-safe kill-switch halts all traffic if the transport circuit is unavailable.
🧠 Risk ScoringDynamic 0–100 scoring with time-decay, source confidence weighting, password complexity analysis, persistence multipliers, and HVT detection.
πŸ”— Recursive Avalanche EngineEvery discovered asset β€” username, email, cracked password, phone β€” is automatically re-injected as a new scan seed. Per-asset pipeline runs sequentially (breach β†’ crack β†’ dork β†’ scrape); child assets run concurrently. Identifiers from all four phases feed the pivot queue. Global deduplication and configurable depth cap prevent runaway recursion.
πŸ” AutoscanSingle command triggers breach scan + recursive pivot + dorking + paste scraping β€” fully automated, no manual chaining.

Features

FeatureDescription
124 JSON Plugin SourcesEvery intelligence source is a JSON plugin. The execution engine contains zero hardcoded source logic.
Async CoreFull asyncio event loop with JA3 fingerprinting, SSL session management, per-request jitter, and configurable concurrency.
Autoscan Pipeline--autoscan triggers: breach scan β†’ recursive pivot β†’ Google/Bing/SearXNG dorking β†’ paste/Telegram scraping β€” all in one command.
Recursive Avalanche EngineEvery identifier discovered β€” from breach records, dork hits, or scraped paste/Telegram content β€” is re-injected as a new seed. Per-asset pipeline is sequential (breach β†’ crack β†’ dork β†’ scrape); child assets run concurrently via asyncio.gather. A global seen_assets set prevents infinite loops. Concurrency and depth are fully configurable at runtime via --threads and --depth.
Hash PivotingHashes found in breach data are automatically identified (MD5/SHA1/SHA256/NTLM/bcrypt) and cracked via concurrent background API queries. Cracked plaintexts are injected into the pivot queue as password-recycling seeds. Failures are logged silently β€” the scan never stops.
Guardian Proxy EngineZero-config OPSEC layer: reads proxies.txt if present; otherwise auto-fetches and validates a high-anonymity proxy pool in-memory. Full SOCKS5/HTTP/S and Tor support.
API Key Rotationapi_key_slots per source β€” NOX round-robins across multiple keys to bypass per-key rate limits.
Identity GraphingUnion-Find correlation engine unifies breach records into identity clusters across all sources, using type-aware pivot classification.
Enterprise Forensic ReportsProfessional PDF/HTML/JSON/CSV/Markdown reports with Executive Summary dashboard (Total Time, Nodes Discovered, Cleartext Passwords, Pivot Depth), interactive Pivot Chain Visualization, and strict data sanitization β€” no technical noise in output. JSON exports are self-describing with a full metadata block.
HVT DetectionAuto-flags C-level, Admin, DevOps, and government domain accounts as High-Value Targets.
Dorking EnginePassive document discovery via Google/Bing/SearXNG dorks with PDF/Office metadata extraction.
Scraping EnginePaste site indexing, Telegram CTI channel monitoring, credential extraction, and misconfiguration discovery. Each autoscan asset gets a dedicated scrape session β€” no shared state.
Proxy / TorSOCKS5, HTTP/S proxy, full Tor routing via stem, and automatic Guardian fallback. SOCKS5 proxies are validated and routed correctly via aiohttp-socks.
Secure Key StoreAPI keys managed via ~/.config/nox-cli/apikeys.json (chmod 0600). Unconfigured keys are silently skipped. Keys set via environment variable are picked up automatically without restarting.
System LoggingAll scan events, phase completions, pivot discoveries, API events, rate-limits, and crack attempts are written to ~/.nox/logs/nox.log. Only actionable intelligence reaches the terminal.
Plugin Debug--list-sources prints a full operator debug table: plugin name, input type, confidence score, key status (configured / not configured / public), and any JSON parse errors.

Architecture

Plugin-Driven Design

NOX operates on a strict separation of concerns: nox.py is a pure, agnostic execution engine β€” it handles async I/O, JA3 fingerprinting, SSL session management, recursive pivoting, and result correlation. It contains no hardcoded intelligence logic.

All intelligence is defined as JSON plugins in sources/. These plugins are the sole source of truth for what NOX queries, how it authenticates, and what it extracts. The build tool build_sources.py is the only authorised way to create or modify them.

build_sources.py  ──►  sources/*.json  ──►  nox.py (runtime loader)
   [Builder]              [Plugins]           [Execution Engine]

[!IMPORTANT] sources/*.json files are auto-generated artifacts. Never edit them directly. All source additions and modifications must be made in build_sources.py and applied by running python build_sources.py. Manual edits will be overwritten on the next build.

Source Schema

{
  "name": "MyPrivateDB",
  "endpoint": "https://api.myprivatedb.com/search?q={target}",
  "method": "GET",
  "headers": { "Authorization": "Bearer {MY_API_KEY}" },
  "regex_pattern": "([\\w.+-]+@[\\w-]+\\.[\\w.]+):([\\S]+)",
  "required_api_key_name": "MY_API_KEY",
  "api_key_slots": ["{MY_API_KEY}"],
  "input_type": "email",
  "output_type": ["username", "ip"],
  "pivot_types": ["email", "username"],
  "confidence": 0.9
}

Supported fields: name, endpoint, method, headers, regex_pattern (or json_root + normalization_map), required_api_key_name, api_key_slots, input_type, output_type, pivot_types, confidence.


Autoscan Pipeline

--autoscan (CLI) / autoscan (REPL) executes the full intelligence pipeline in a single command:

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