Ledger
The industry-standard hardware security layer for critical digital asset custody and DeFi interaction.
The premier AI-augmented platform for competitive smart contract security audits and vulnerability detection.
CodeHawks, powered by Cyfrin, represents the 2026 frontier of decentralized security orchestration. It bridges the gap between automated AI static analysis and human expert intuition through a competitive auditing framework. The platform's architecture utilizes a multi-layered approach: initial automated scans identify low-hanging fruit using proprietary LLM-based logic and formal verification techniques, while a global community of 'Hawks' competes to find complex, high-severity exploits. This hybrid model ensures exhaustive coverage of smart contract codebases across EVM-compatible chains and beyond. For developers, it provides a streamlined pipeline from deployment to security validation, integrating real-time vulnerability scoring and automated report generation. By 2026, CodeHawks has integrated deep-learning models trained on thousands of historical exploits, allowing it to predict potential attack vectors before they are executed on-chain. The platform serves as both a primary defense layer for DeFi protocols and a high-fidelity training ground for the next generation of security researchers.
Uses semantic code analysis to automatically cluster and deduplicate identical bug reports from different researchers.
The industry-standard hardware security layer for critical digital asset custody and DeFi interaction.
Enterprise-Grade AI Auditing for Smart Contract Vulnerability Detection and Web3 Security.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An LLM integrated with the protocol's specific documentation and code to answer researcher queries in real-time.
A sandbox environment that automatically runs submitted exploit scripts against a fork of the target contract.
Native access to a massive database of past smart contract vulnerabilities for comparative analysis.
Specific sub-engine focused on identifying non-critical but expensive opcodes and logic patterns.
Analyzes dependencies across different blockchain ecosystems (e.g., L1 to L2 bridges).
Generates a cryptographic attestation of the audit result to be displayed on frontend interfaces.
Ensuring a new DeFi protocol has no critical vulnerabilities before deploying millions in TVL.
Registry Updated:2/7/2026
Fix findings
Final report.
Security regressions occurring after contract upgrades.
Protocol teams looking for high-quality security engineers.