AI-Powered Malware Detection
Stop malware by reading the story behind every certificate.
TrustedChain visualizes code-signing certificate reputation, blends historical issuer behavior with ML insights, and flags risky binaries before they execute.
Realtime Reputation
Trust score trajectory
Pipeline
How TrustedChain scores certificates
Each step captures a behavioral fingerprint that feeds the ML model.
Ingest
Parse certificate chain, issuer lineage, and timestamped revocation signals from multiple sources.
Enrich
Augment with OSINT, VirusTotal reputation, sandbox detonation history, and telemetry frequency.
Model
Run gradient boosting + temporal embeddings to project trustworthiness over time.
Decide
Issue allow/review/quarantine verdicts with confidence, then surface results to analysts and dashboards.
Threat Clusters
Issuer relationship graph
Edges show certificate re-use and co-signing frequency. Red clusters indicate elevated malware prevalence.
Model Output
Confidence distribution
- Benign
- Review
- Malicious
Interactive Sandbox
Submit a certificate for instant reputation verdict
Paste SHA-256 fingerprint to preview model behavior and risk posture.
No suspicious lineage detected. Monitor certificate reuse weekly.
Signal
Issuer reputation stable
Action
Allowlist with alerting
Confidence
0.83
Contact Us
Reach the TrustedChain team
Share context, indicators, or questions. Submissions are routed to the admin console.