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✦ Free & open sourceCybersecurity

Watcher

AI-powered open-source cyber threat intelligence and hunting platform.

Watcher Threat Hunting Platform

Monitoremerging cybersecurity threats with Django, React, and Hugging Face AI.

Free forever · open source · AGPL-3.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
7.5
ZEKAI
Open-source AI threat intel stack
Free & open source · Cybersecurity
Ease of setup5
Usefulness9
Maintenance9.5
Community6.5
★ 1,424
GITHUB
Oct 2026
UPDATED
AGPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

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.

Runs on
Web
Hosting
Self-host
Languages
JavaScript
License
AGPL-3.0

What it is

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.

Who it's for

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.

Key features

AI-Driven Threat Intelligence

Generates automated weekly digests and real-time alerts for top trending cybersecurity topics using Hugging Face models.

CVE & Ransomware Tracking

Continuously fetches external threat data from circl.lu, ransomware.live, and ransomwarelook.io.

Information Leak Monitoring

Detects sensitive data exposure across Pastebin, GitHub, GitLab, npm registries, and other public platforms.

Domain & Typosquatting Surveillance

Identifies suspicious domains using dnstwist generation and Certstream Certificate Transparency monitoring.

TheHive & MISP Integration

Synchronizes indicators of compromise and alerts directly into TheHive and MISP platforms.

How to start

Up and running in 3 steps

1
Clone the repository and navigate to the deployment folder
2
Run make init and start the stack using Docker via make up
3
Execute database migrations, create a superuser, and open the web UI on port 9002
Real talk

Our honest verdict

What's great

  • Built-in AI summarization and named entity extraction via Hugging Face models
  • Out-of-the-box integration with TheHive, MISP, and multiple CERT RSS feeds
  • Detailed monitoring for data leaks across Pastebin, code repositories, and package registries
  • Comprehensive domain surveillance using dnstwist and Certstream

Where it falls short

  • Requires Docker and manual environment configuration to deploy and run locally
  • Using the Pastebin API feature requires a paid Pastebin Pro account and a whitelisted IP
  • Heavy resource consumption expected due to running local Hugging Face transformer models inside the stack
Cost

Pricing & license

Free under the AGPL-3.0 licence. The only cost is running the infrastructure and server resources yourself.

Paid work

Open remote AI-training roles

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.

See all open roles →
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📄 Free PDF: Watcher for Cybersecurity
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Questions

FAQ

What AI models does Watcher use?

It uses google/flan-t5-base for text-to-text threat summaries and dslim/bert-base-NER for named entity and IOC extraction.

Can I export indicators of compromise to MISP?

Yes, Watcher features native PyMISP integration for exporting IOCs with smart UUID tracking and automatic object creation.

Is a paid Pastebin account required?

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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