Case Study: Olympix vs. Slither: Static Analysis Results
Intro
In Web3 security, the difference between a good static analyzer and a great one isn't measured in features; it's measured in vulnerabilities caught and false alarms eliminated.
We put this to the test by running Olympix and Slither head-to-head on EigenLayer's production contracts: 53 files, nearly 12,000 lines of code, and real-world complexity that separates institutional-grade tools from the rest.
Olympix Static Analysis
Olympix has the only institutional-grade static analyzer for Web3.
Its proprietary architecture (including a custom compiler, intermediate representation (IR), and custom detectors) enables it to find a higher absolute number of true positives than other static analyzers, perform deeper analysis, and handle infinitely large and complex codebases in under one second with real-time updates.
The same engine also powers the most robust security tool suite in Web3, including unit test generation, mutation testing, fuzzing, and automated formal verification, as well as the most effective internal audit agent on the market.
Slither
Slither is an open-source static analyzer for Solidity. It is written in Python, has not been actively maintained in recent years, and uses a limited detector framework that struggles with complex, modern smart contract architectures.
We ran a direct comparison on the main branch of the eigenlayer-contracts repository, containing 53 non-interface contracts and libraries and 11,981 lines of code.
Results show a dramatic accuracy gap:
Olympix’s static analyzer found 3 True Positives and 23 False Positives, compared to Slither’s 0 True Positives and 150 False Positives.
AI Layer Results
But it gets better. With Olympix’ new AI Confidence Slider (currently in private alpha) turned all the way up, Olympix returned zero false positives - maintaining 100% precision and recall.
Conclusion
The results speak for themselves.
Olympix is the only static analyzer purpose-built for institutional Web3 security - combining deeper analysis with real-time AI-driven precision.
By catching more real vulnerabilities and eliminating false positives, Olympix ensures teams ship faster, safer, and with higher confidence than ever before.
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Follow-up: Conduct a follow-up review to ensure that the remediation steps were effective and that the smart contract is now secure.
Follow-up: Conduct a follow-up review to ensure that the remediation steps were effective and that the smart contract is now secure.
In Brief
Remitano suffered a $2.7M loss due to a private key compromise.
GAMBL’s recommendation system was exploited.
DAppSocial lost $530K due to a logic vulnerability.
Rocketswap’s private keys were inadvertently deployed on the server.
Hacks
Hacks Analysis
Huobi | Amount Lost: $8M
On September 24th, the Huobi Global exploit on the Ethereum Mainnet resulted in a $8 million loss due to the compromise of private keys. The attacker executed the attack in a single transaction by sending 4,999 ETH to a malicious contract. The attacker then created a second malicious contract and transferred 1,001 ETH to this new contract. Huobi has since confirmed that they have identified the attacker and has extended an offer of a 5% white hat bounty reward if the funds are returned to the exchange.
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