AI-powered open-source cyber threat intelligence and hunting platform.
Monitoremerging cybersecurity threats with Django, React, and Hugging Face AI.
Watcher is an open-source cyber threat intelligence and hunting platform built with Django and React. It uses AI models like Hugging Face's Flan-T5 and BERT to process threat feeds, track CVEs, and monitor information leaks.
The platform automates threat discovery by pulling CVEs, ransomware data, and emerging vulnerabilities from CERT feeds. It uses AI to generate weekly digests, extract named entities, and summarize security keywords.
Suits security operations and threat intelligence teams needing a self-hosted platform to aggregate feeds and monitor leaks. Does not suit organizations lacking infrastructure to manage a multi-container Django and React stack.
Generates automated weekly digests and real-time alerts for top trending cybersecurity topics using Hugging Face models.
Continuously fetches external threat data from circl.lu, ransomware.live, and ransomwarelook.io.
Detects sensitive data exposure across Pastebin, GitHub, GitLab, npm registries, and other public platforms.
Identifies suspicious domains using dnstwist generation and Certstream Certificate Transparency monitoring.
Synchronizes indicators of compromise and alerts directly into TheHive and MISP platforms.
Free under the AGPL-3.0 licence. The only cost is running the infrastructure and server resources yourself.
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
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It uses google/flan-t5-base for text-to-text threat summaries and dslim/bert-base-NER for named entity and IOC extraction.
Yes, Watcher features native PyMISP integration for exporting IOCs with smart UUID tracking and automatic object creation.
Yes, to use Watcher's Pastebin API feature, you must subscribe to a Pastebin Pro account and whitelist your public IP.
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