Malicious MD5 Hashes
Free feed of MD5 file hashes for known malware shared by Twitter/X researchers
Malicious MD5 Hashes
MD5 file hashes for known malware
MD5 hashes by window
-
MD5 hashes
-
MD5 hashes
-
MD5 hashes
-
MD5 hashes
What this list contains
- Sourced from ~95 Twitter/X security researchers, refreshed every 15 minutes.
- MD5 hashes of malware samples: RATs, infostealers, ransomware, droppers, loaders.
- MD5 has known collisions; for high-confidence detection, prefer the SHA-256 feed.
- Cross-reference against VirusTotal or your sandbox for sample verdicts and family attribution.
Recent samples
Latest 10 MD5 hashes from the past 7 days. Live from api.tweetfeed.live/v1/week/md5.
Top tags for MD5 hashes
Frequently asked questions
What is an MD5 hash?
MD5 is a cryptographic hash function that produces a 32-character hexadecimal fingerprint of a file. Identical files produce identical hashes, so MD5 is a fast way to identify a known sample without exchanging the binary. Antivirus signatures, sandbox reports and Threat Intelligence feeds commonly cite MD5 hashes alongside SHA-1 and SHA-256.
How is this list updated?
Every 15 minutes. The pipeline scrapes RSS feeds from public Twitter/X researcher accounts and lists, extracts 32-character hex MD5 hashes from tweets, deduplicates against the past year, tags them with malware family, and republishes the result in CSV, JSON and RSS.
Why MD5 if SHA-256 is more secure?
MD5 is faster and shorter, which matters for large-scale endpoint scanning where every byte saved on signature storage adds up. Many legacy AV and IDS systems index by MD5. For high-confidence detection or when collision resistance matters (e.g. forensic chain of custody), SHA-256 is preferred. TweetFeed publishes both.
Are these hashes verified malicious?
TweetFeed is OSINT, not a sandbox. Hashes are sourced from public posts by infosec researchers, then deduplicated and tagged. Most posts include sandbox links; cross-reference VirusTotal, MalwareBazaar or your own sandbox to confirm a sample's verdict and gather family attribution before action.
License
Source code for the pipeline: github.com/0xDanielLopez/TweetFeed (MIT).