A zero-bloat threat intelligence database containing exactly 1,441,791 verified malware fingerprints.
Most enterprise threat databases (like MalwareBazaar or VirusShare) lock their data behind rate limits, API keys, or force developers to parse massive 3GB+ CSV files that exhaust system memory and crash basic scripts.
This repository solves that engineering bottleneck. It provides a highly concentrated, pure-text database containing over 1.44 million lethal malware hashes. It is entirely stripped of metadata, comments, and headers, meaning it is perfectly optimized to be loaded directly into RAM, Python sets, or SQLite databases for lightning-fast, multi-core scanning.
- Total Records: 1,441,791 hashes
- Format: MD5 (32-character strings)
- File Structure: Pure
.txt(One hash per line, zero metadata) - Primary Threat Vectors Included:
- Infostealers: RedLine, Vidar, AgentTesla, Raccoon
- Remote Access Trojans (RATs): NanoCore, Remcos, NjRAT, AsyncRAT
- Ransomware Payloads: WannaCry, Phobos, LockBit
- Botnets & Droppers: Emotet, TrickBot, Qakbot
Because this is a pure text file with no CSV bloat, you can load the entire 1.4 million hash list into a Python set in under 1 second.
KNOWN_THREATS = load_threat_matrix("14lk41791_hashes.txt") result = scan_file("suspicious_file.exe", KNOWN_THREATS) print(result)