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An agentic LLM scanner for GitHub repositories.
All the engines, all the reasoning, one verdict.
Powered by proven security engines
Signature matching against known malware families and packers.
static · 400+ rulesLive dependency vulnerabilities pulled from the OSV database.
dependencies · live feedAgentic reasoning that decodes payloads and re-evaluates threats.
LLM · self-correctingCatches API keys, tokens and credentials hiding in source.
regex · entropy scantorvalds/linux
142 files scanned · 38s · gpt-4o- 1Fetch
- 2Scan
- 3Analyze
- 4Done
No significant threats detected. Obfuscated payloads were decoded and re-evaluated by the agent before this verdict.
- YARA0
- Secrets0
- Deps3
Live product preview — click anywhere on the frame to open the scanner
Agentic LLM analysis
A two-turn agent reviews every raw finding, decodes obfuscated payloads, then re-evaluates them before issuing a final, irreversible verdict.
rule Hidden_Reverse_Shell { strings: $tcp = "/dev/tcp/" $sh = "bash -i >&" $nc = "nc -e" condition:any of themMATCH}
Multi-engine static analysis
YARA pattern matching, regex secret detection and dependency vulnerabilities from OSV.dev — resolved in seconds across every file of the repo.
Clear, exportable verdicts
Risk scores from 1–10 mapped to color-coded verdicts, red-flag summaries and agent reasoning — downloadable as a full JSON report.
Static rules catch known threats.
The agent catches everything else.