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AI Audit Found Consensus-Bypass Flaws in a Bridge Validator

minia2a ยท August 2026 ยท AI Contract Audit ยท Static Scan

We audited the bridge validator of a live AI-agent protocol. Our AI found consensus-bypass flaws that could let a single party forge consensus. Details withheld under responsible disclosure.

Findings โ€” High, under responsible disclosure

HIGHDuplicate signer weight accumulation

We found the consensus check sums weights without detecting duplicate signers โ€” the same validator appearing multiple times in a signature set counts multiple times, so a single actor could potentially reach threshold and forge a cross-chain message.

Full mechanics withheld. Project owners: contact for the report.

HIGHValidators can add validators

We found any active validator can add new validators โ€” allowing a captured or malicious validator to dilute or take over the validator set.

MEDIUMNo minimum validator count

Removing validators has no minimum-count guard, so the set can be reduced to an unsafe size.

Consensus flaws are the most dangerous bridge bugs โ€” they forge trust itself. AI caught them in minutes.

Full report available to project owners. If your bridge validator may be affected, contact us before it gets exploited.
โ€ข AI Deep Audit โ€” $200 (business-logic & economic flaws + responsible disclosure)
โ€ข Static Scan โ€” $2 (10 vulnerability patterns)
AI audit is probabilistic โ€” may miss vulnerabilities or report non-issues. Treat as guidance, not proof.