Releasing shortly

Open models.
Hard evidence.

OpenVuln brings diverse open-model reasoning to source-code security. Multiple model perspectives generate, attack, and refine vulnerability hypotheses before a finding is ready for human review.

Join early access Multi-model reasoning
Evidence-led validation
Reasoning mesh / online
ADeepSeek V4 Prohypothesis
BGLM 5.3challenge
CKimi K3trace
Σindependent verificationvalidate
consensus → testable security claim
disagreement becomes a research path
Frontier open-model stack

No single model gets the final word.

DeepSeek V4 Pro
GLM 5.3
Kimi K3

01 / Why OpenVuln

Powered by open models. Verified by evidence.

OpenVuln is being built around explicit hypotheses, code-level evidence, and critical review. Model diversity gives you freedom of choice without locking you into a single model.

01

Map the real attack surface

Inspect language-aware sources, sinks, trust boundaries, and reachable code paths before prioritising leads.

02

Challenge every hypothesis

Use adversarial review and multiple reasoning perspectives to test assumptions and reduce fragile conclusions.

03

Return decision-ready evidence

Every finding is tied to the exact code and marked by how far it has been verified. A convincing AI explanation is never treated as proof.