
Aave Labs invested approximately $1.5 million in a comprehensive security audit plan lasting 345 days before the release of V4, involving top security firms ChainSecurity, Trail of Bits, Blackthorn, and Certora. They also held a public competition on the Sherlock platform, attracting over 900 researchers who submitted more than 950 research results.
The core design logic of this audit is “multi-angle parallel testing,” rather than the traditional single audit process. The entire audit plan is funded by Aave DAO and conducted in three major phases:
Institutional Security Company Review: ChainSecurity, Trail of Bits, Blackthorn, and Certora conduct in-depth testing of the protocol code from different perspectives, covering reverse engineering, formal verification, and smart contract boundary scenarios.
Six-Week Public Competition: Held from December 2025 to January 2026 on the Sherlock platform, with over 900 independent researchers submitting more than 950 results. The competition’s zero-critical-vulnerability phase confirmed no major issues; $10,000 USDC in prizes are distributed proportionally among six researchers based on their scores.
Ongoing Vulnerability Bounty Program: Aave Labs proposes establishing a regular vulnerability reporting channel for V4 on Sherlock, equipped with categorization mechanisms to filter low-quality reports and prioritize high-risk findings.
Early reviewers noted that, for a project still in the early audit stage, V4’s code structure was “exceptionally concise,” indicating that security design was embedded from the initial development phase.
In V4 development, Aave Labs systematically abandoned the industry’s prevalent “rapid iteration and post-fix” model. Its security framework revolves around five core principles:
Formal Verification: Certora is responsible for establishing mathematical rules (“invariants”) that the code must always satisfy. Before manual review begins, the code must pass automated verification, systematically uncovering logical boundary issues that manual audits might overlook.
AI-Driven Anomaly Path Scanning: Automated systems assist in identifying attack paths under extreme scenarios, supplementing manual review’s coverage limitations.
Layered Review Mechanism: Manual audits and automated testing are conducted simultaneously, with continuous security checks on each code update, rather than only before version releases.
Additionally, V4 adopts a “center-radiation” architecture, which helps reduce the overall attack surface of the protocol and lowers the risk of common DeFi vulnerabilities from a structural perspective.
Against the backdrop of frequent DeFi security incidents, the significance of this audit extends beyond technical aspects. The $1.5 million security investment is a small cost relative to the protocol’s total value locked (TVL), but it sends a clear institutional trust signal— for institutional funds still wary of unknown smart contract risks, the zero-vulnerability result in the public competition is a crucial prerequisite for entering decision-making processes.
The real test for V4 will be its initial operation on the mainnet. If it maintains zero major incidents in the first few months, funds previously cautious due to hacking incidents may gradually start to trust and adopt this protocol.
The fee covers professional services from ChainSecurity, Trail of Bits, Blackthorn, and Certora, as well as prizes and platform fees for the public competition on Sherlock. The entire plan lasted 345 days, making it one of the largest recorded security investments in the DeFi space.
Invariants are mathematical rules established by Certora, defining logical conditions that the code must always satisfy. Before manual review, the V4 code must pass automated formal verification to ensure these rules hold across all possible execution paths, fundamentally eliminating certain categories of logical vulnerabilities.
Traditional DeFi protocols often have complex dependencies among multiple modules, where a vulnerability in one can trigger chain reactions. The center-radiation architecture explicitly separates functions, concentrating core logic in a strictly protected “center,” structurally shrinking the attack surface and enhancing resilience against complex cross-module attacks.