Smart Contract Audits

Consensys Diligence offers comprehensive smart contract security audits for blockchain teams preparing to launch their applications on Ethereum and EVM-compatible networks. The audit process combines multiple automated analysis techniques with manual expert review to identify vulnerabilities, security flaws, and potential attack vectors in smart contract code.

Audit Process

The three-phase audit process begins with Assessment, where the team evaluates your smart contract business logic and agrees on security properties to test. During the Review phase, multiple analysis processes run in parallel on your code, followed by thorough manual review to uncover anomalies that automated tools might miss. Finally, Delivery includes a comprehensive vulnerability report with executive summary, detailed vulnerability descriptions, mitigation guidance, and options for continuous verification.

Track Record

Consenys Diligence has completed over 100 public audits for leading blockchain projects including Aave Protocol V2, Uniswap, 0x Exchange v4, Balancer Finance, Rocket Pool, EigenLayer, Lido V3, MetaMask features, Linea rollup updates, and hundreds of other DeFi protocols, tokens, and blockchain infrastructure projects. The team has discovered over 200 critical issues across these engagements.

Deliverables

Clients receive detailed analytics reports including vulnerability severity ratings, exploit scenarios, affected code sections, recommended fixes, and best practice guidance. The team also provides options for ongoing monitoring and continuous verification post-launch. Enterprise clients benefit from comprehensive security counseling services that go beyond code audits to address organizational security posture, development processes, and long-term security strategy.

Expertise

Veteran security auditors on the team bring deep expertise in Solidity, EVM internals, DeFi protocol mechanics, cryptographic implementations, and common attack patterns. Manual double-checking eliminates false positives that plague purely automated analysis tools.