Machine Learning Defender
Expose malware by reading the story behind every certificate.
TrustChain visualizes the reputation of code-signing certificates, blends historical issuer behavior with ML features, and flags risky binaries before they land in production.
Realtime Reputation
Trust score trajectory
Pipeline
How TrustChain scores certificates
Each step captures a behavioral fingerprint that feeds the ML model.
Ingest
Parse certificate chain, issuer lineage, and time-stamped revocation signals.
Enrich
Augment with OSINT, VT reputation, sandbox detonation history, and telemetry frequency.
Model
Run gradient boosting + temporal embeddings to project trustworthiness over time.
Decide
Issue allow/quarantine verdicts, auto-revoke tokens, and notify SOC channels.
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 an instant reputation verdict
Paste SHA-256 or upload a sample to preview model behavior.
No suspicious lineage detected. Monitor certificate reuse weekly.
Signal
Issuer reputation stable
Action
Allowlist with alerting
Confidence
0.83
Contact us
Reach the TrustChain team
Share context, indicators, or questions—everything you submit is visible in the admin console.
Admin console
Operational telemetry
Login to review uploads, visits, click counts, sources, and contact submissions.