Proof System Security Audit

In-depth review of your zero-knowledge circuits (Plonk, Groth16, Halo2) and cryptographic primitives for soundness, completeness, and correctness. We identify logic flaws that could compromise the entire system's security guarantees.

Analysis of the codebase (Rust, C++, Circom) for implementation bugs, timing attacks, and memory safety issues. We ensure your prover/verifier is resilient against real-world exploitation.

Verification of trusted setup ceremonies, parameter generation, and SRS (Structured Reference String) integrity. We assess the risks of toxic waste and ensure setup contributions are properly validated.

Testing the proof system within the full application stack (L2 rollups, privacy apps). We simulate malicious actors and edge cases to break integration assumptions and API boundaries.

We structure findings and provide annotated code to facilitate formal verification. Our reports include machine-checkable specifications to bridge the gap between audit and formal proof.

Beyond the report, we provide direct engineering support for fixing critical issues, re-auditing patches, and advising on long-term security practices for your team.

Identify inefficiencies in on-chain verifier contracts and prover algorithms, reducing operational costs and enabling scalable, production-ready deployments.

We simulate malicious actors attempting to generate invalid proofs or break soundness, providing you with a实战-tested security posture before mainnet launch.

We conduct a deep-dive analysis of your system's design, threat model, and formal specifications to identify foundational logic flaws before a single line of code is examined.

Manual and automated review of your ZK circuit logic (Circom, Halo2, Noir) for soundness errors, constraint completeness, and potential cryptographic pitfalls.

Line-by-line audit of prover/verifier code, focusing on side-channel resistance, memory safety, and adherence to cryptographic best practices in Rust, C++, or Go.

Verification of elliptic curve implementations, hash functions, and commitment schemes against known attacks and formal security proofs.

Testing the proof system in its runtime environment with fuzzing, differential testing, and simulated adversarial attacks to uncover integration vulnerabilities.

Delivery of a prioritized vulnerability report with CVSS scores, proof-of-concept exploits, and direct guidance for remediation, followed by verification of fixes.