SpecterOps

SpecterOps / Janus

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Janus analyzes C2 telemetry to surface failure patterns, operator friction, and automation opportunities across engagements.

11
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100% credibility
Found Apr 11, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Janus processes logs from security operation frameworks like Mythic, Ghostwriter, and Cobalt Strike to detect command failures, operator delays, and automation chances.

How It Works

1
🔍 Discover Janus

You find Janus on GitHub, a helpful tool that reviews your security operation logs to spot issues and ideas for improvement.

2
📥 Get it ready

Download Janus and launch it easily on your computer with a simple setup.

3
🔗 Connect your logs

Point Janus to your operation logs from your security tools so it can safely read what happened.

4
✨ Run the analysis

Press go and watch Janus scan your logs, uncovering hidden patterns, slow spots, and fixes.

5
📊 View your report

Open a colorful, easy-to-read report full of charts showing successes, failures, and tips.

🎉 Improve your work

Use the clear insights to train better, speed up tasks, and make your next operation smoother.

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Star Growth

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AI-Generated Review

What is Janus?

Janus analyzes C2 telemetry from Mythic, Ghostwriter, and Cobalt Strike across engagements, surfacing failure patterns, operator friction, and automation opportunities. Built in Python with Docker support, it pulls logs via CLI commands like `janus-cli run --source mythic` or `janus-cli pull`, normalizes events to NDJSON, runs targeted analyzers (command failures, dwell times, AV detections), and spits out HTML reports plus JSON bundles. Not your github janus webrtc server or janus gateway—think ops debrief tool.

Why is it gaining traction?

Privacy-focused: runs fully local, no LLMs or external calls, with configurable redaction (hash args, drop outputs). Hooks red teamers with niche analyzers like retry sequences, outlier contexts, and parameter entropy—spotting friction without manual log dives. Beats spreadsheets or ad-hoc scripts for multi-framework ops.

Who should use this?

Red team operators post-engagement, hunting command failures or slow dwells. Purple team analysts reviewing telemetry for tooling gaps. Security researchers dumping tool subsets for datasets, like janus github deepseek baselines or across Mythic/Cobalt runs.

Verdict

Promising for C2 ops intel at 11 stars and 1.0% credibility—solid README/CLI/docs, but light tests and early maturity mean pilot on non-prod logs first. Grab if you're tired of janusköpfig log hunts.

(198 words)

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