Reentrancy Attack Automated Detection

We perform deep bytecode and source code analysis to map all potential reentrancy entry points and state variable interactions, identifying high-risk patterns before runtime.

Our engine explores all possible execution paths to find hidden state inconsistencies and complex call chain vulnerabilities that simple scanners miss.

We simulate malicious transactions in a forked mainnet environment, testing contracts against known and novel attack vectors with real-world conditions.

We map detection logic to your specific architecture—whether it's a custom AMM, lending protocol, or NFT marketplace. This context eliminates false positives and catches logic flaws generic tools miss.

Our engines simulate thousands of contract state permutations and complex transaction sequences to uncover deep, multi-step reentrancy paths that static analysis cannot see.

Every finding includes a reproducible exploit script and a detailed, audited remediation patch. We don't just report issues; we deliver the fix.

Receive a detailed, actionable report that classifies findings by severity (Critical, High, Medium), provides exploit PoC code, and delivers clear remediation guidance with patched code examples.

After you implement fixes, we re-run our full detection suite on the updated code to verify the vulnerability is resolved, ensuring no new issues were introduced during the patching process.