Detect interview fraud with explainable AI red-teaming.
Crackit is a defensive cybersecurity education & detection lab for remote technical interviews — synthetic telemetry analysis, on-device anomaly scoring, and transparent, evidence-backed risk reports. Built for Android. Distributed privately.
A full red-team detection stack in your pocket
Every signal is explainable — each risk score comes with the rules, evidence, confidence, and plausible alternative explanations that produced it.
AI Threat Analyzer
Gemini 2.0 Flash audits session telemetry and returns structured anomaly breakdowns and adaptive follow-up questions.
On-Device Nano Engine
Zero-latency (~40ms) local inference fallback that runs fully offline when no API key is configured.
Explainable Risk Scoring
Weighted severity × confidence scoring with a transparent per-rule breakdown — never a black box.
SIEM Export
Ship alerts to Splunk HEC, Datadog, or Elastic CEF over strict HTTPS with real delivery status.
WebRTC Proctoring
Gaze-tracking & focus-loss telemetry simulation for synthetic red-team scenario training.
Live State & Reports
Real-time in-memory state sync, Room-backed audit trail, and PDF / Markdown incident reports.
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Responsible-use notice. Crackit / Interview Integrity Lab is a defensive security education tool. It operates on synthetic telemetry for training, red-team research, and integrity-policy design. Any real-world proctoring must be lawful, disclosed to candidates, consent-based, and compliant with local privacy regulation. The distributor is solely responsible for how it is deployed.