Comparing Olympix and Slither on the Eigen Layer Code Base: Enterprise-Grade Static Analysis vs. Open-Source Alternatives
Overview
As Web3 security concerns grow, the need for reliable smart contract security tooling has moved from best practice to baseline requirement. This whitepaper compares Olympix, an enterprise-grade Solidity static analysis platform, against Slither, the widely adopted open-source alternative, using the EigenLayer codebase as a benchmark.
While Slither is common in audits, its pattern-matching architecture generates frequent false positives and misses deeper vulnerability paths. Olympix, built with a custom IR and exploit-informed detection logic, was engineered for high-stakes blockchain security—where DeFi teams can't afford noise or missed signals.
Key metrics—detection accuracy, true positive rate, and false positive rate—were used to evaluate each tool’s effectiveness in identifying real vulnerabilities under real development conditions. The results highlight not just a difference in performance, but a shift in what Solidity static analysis should deliver in a 2025 security pipeline.
Key Findings and Trends
The comparative analysis distilled below provides a snapshot of the performance of Olympix and Slither in smart contract vulnerability detection and classification.
Slither: Challenges and Limitations
Slither provides broad Solidity tools for vulnerability scanning but suffers from frequent false positives due to outdated detectors and a non-scalable code architecture. This “noise” forces developers to sift through excessive false alerts, consuming valuable time and increasing risks as actual threats may be overlooked.
While Slither is widely used in smart contract audits, its limitations make it less effective for large-scale Web3 cybersecurity demands. The lack of precision can erode trust in results, forcing teams to perform additional manual verification rather than focusing on development efficiency.
Olympix: Enterprise-Grade Precision
Unlike Slither, Olympix delivers enterprise-grade blockchain security by providing deeper smart contract static analysis with significantly fewer false positives.
Olympix’s custom compiler, intermediate representation (IR), and advanced detection mechanisms ensure developers receive highly actionable insights without unnecessary noise. Its superior detection capabilities make it an essential component of Web3 security, reducing reliance on manual validation and ensuring DeFi protocols stay ahead of emerging security risks.
How Olympix Outperforms Slither:
✔ Higher True Positive Rate – Detects vulnerabilities with greater accuracy. ✔ Lower False Positive Rate – Reduces wasted time spent reviewing false alerts. ✔ Enterprise-Grade Insights – Trusted by leading Web3 cybersecurity teams.
Graphical data below illustrates Olympix’s superior accuracy and efficiency across different branches of the Eigen Layer codebase.
Detailed Vulnerability Analysis
Slither Analysis
Slither detected a range of vulnerabilities within the Eigen Layer codebase but was hindered by a high false positive rate, especially concerning reentrancy-related functions. The tool frequently misclassified functions protected by the nonReentrant modifier as vulnerable to reentrancy attacks. This misclassification added unnecessary noise to the analysis, forcing developers to spend additional time verifying these false alerts instead of focusing on genuine security issues.
Additionally, Slither flagged delayed withdrawal functions and highlighted ABI encoding concerns in EigenPodManager.sol and DelayedWithdrawalRouter.sol. However, its lack of precision in these detections reduced their usefulness. The tool often incorrectly identified secure functions as problematic, leading to extra validation work and potentially eroding developer trust in the analysis results.
Slither also struggled with the nuanced logic present in the codebase, which highlighted the limitations of its outdated detectors. Its inability to accurately interpret complex contract interactions meant that some genuine vulnerabilities were overlooked, while safe code was unnecessarily flagged.
Olympix Analysis
In contrast, Olympix demonstrated higher precision with significantly fewer false positives across all branches of the codebase. It accurately identified ABI encoding issues in EigenPodManager.sol, specifically recommending the use of abi.encode() over abi.encodePacked() for improved clarity and future-proofing. This precise guidance enabled developers to address potential vulnerabilities effectively and efficiently.
Olympix also adeptly identified risks related to locked Ether in DelayedWithdrawalRouter.sol, providing accurate assessments that reduced unnecessary workload for developers. By correctly classifying nonReentrant functions as secure, Olympix avoided the misclassifications that plagued Slither, allowing developers to concentrate on genuine external call risks.
Olympix offered more actionable insights in key areas such as ABI encoding practices and external call safety. Its advanced analysis capabilities allowed it to navigate the nuanced logic of the Eigen Layer codebase, effectively highlighting real vulnerabilities without overwhelming developers with false positives. This precision not only enhanced the security posture of the project but also streamlined the development process by reducing the time spent on validating incorrect alerts.
Summary of Key Differences
Slither Analysis:
🚨 Detected various security issues but suffered from high false positive rates. 🚨 Misclassified nonReentrant functions, adding unnecessary noise to the process. 🚨 Flagged ABI encoding and delayed withdrawal functions, but with low precision. 🚨 Struggled with complex contract logic, exposing its limitations for DeFi projects.
Olympix Analysis:
✅ Accurately detected ABI encoding issues in EigenPodManager.sol. ✅ Identified locked Ether risks in DelayedWithdrawalRouter.sol. ✅ Avoided misclassifications, ensuring developers focused on genuine threats. ✅ Provided deeper analysis of Solidity smart contracts for dummies and experts alike.
Olympix surpasses Slither in accuracy, reliability, and enterprise security. By integrating Olympix’s Solidity tools, DeFi organizations can:
Reduce false positives and wasted developer hours.
Automate up to 40% of audit findings to improve efficiency.
Strengthen blockchain security and ensure smart contract safety before audits.
With Solidity static analysis becoming critical in Web3 cybersecurity, teams adopting Olympix gain a powerful edge in smart contract security—proactively mitigating risks before they become costly exploits.
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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.
