Evmbench
Open benchmark for AI agents on high-severity smart contract vulnerabilities
A must-use for anyone benchmarking LLMs on real smart contract security. It's free, open-source, and backed by OpenAI and Paradigm. Not a production audit tool but an essential evaluation framework.
- AI safety researchers evaluating model capability
- Blockchain security auditors testing AI tools
- Crypto engineering teams benchmarking LLMs on code tasks
- Open-source contributors advancing AI+security tools
- Beginners without understanding of smart contract security
- Developers needing a full production security audit tool
- Teams needing support for non-Ethereum blockchains
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In short
Evmbench — Open benchmark for AI agents on high-severity smart contract vulnerabilities. Best for AI safety researchers evaluating model capability, Blockchain security auditors testing AI tools, Crypto engineering teams benchmarking LLMs on code tasks. Free to use.
Viability Score
How likely is Evmbench to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Open benchmark for AI agent evaluation
- Detects high-severity smart contract vulnerabilities
- Evaluates exploitation and patching capabilities
- Upload folder or ZIP of contract source code
- Standardized evaluation across AI models
- Reports only high-severity findings
- Web-based interface for analysis runs
- Free and open-source
- Built by OpenAI and Paradigm
About Evmbench
Evmbench is an open benchmark from OpenAI and Paradigm that evaluates whether AI agents can detect, patch, and exploit high-severity vulnerabilities in smart contracts. Designed for security researchers, AI developers, and blockchain engineers, it provides a standardized framework to measure AI performance on realistic, high-impact contract security tasks. Unlike simple static analysis tools, evmbench requires AI to understand exploit paths and generate patches, pushing the frontier of AI in blockchain security. The web-based interface focuses on detection only, reporting high-severity findings from uploaded contract folders. This benchmark is freely available and open-source, enabling reproducible comparisons across AI models. Evmbench moves beyond code review by testing exploitation capabilities, setting it apart from benchmarks like SWE-bench or Cybench that focus on general code tasks.
Behind the Verdict
Evmbench fills a critical gap: measuring if AI can actually exploit and patch real vulnerabilities, not just find them. We'd recommend it for teams evaluating AI agents for blockchain security—it's the only benchmark that combines detection, exploitation, and patching in one open standard. Compared to general benchmarks like SWE-bench or HumanEval, evmbench targets high-severity smart contract issues specifically, making it far more relevant for security use cases. The interface is minimal—upload a contract folder, select a model, and run—but that's by design: it focuses on evaluation, not workflow. A caveat: it's not a production audit tool. Beginners unfamiliar with smart contract security will find the reports hard to interpret. Also, it currently only supports Ethereum-based contracts. Still, for its specific purpose, evmbench is a valuable resource that pushes the field forward—without costing a dime.
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Use Cases
- Evaluate how well different AI models detect critical smart contract bugs
- Benchmark AI agents for automated vulnerability patching
- Standardize testing of LLM capabilities on blockchain security tasks
- Compare AI performance on high-severity findings across model versions
- Quantify AI exploitation capabilities for research and development
Limitations
- Evmbench is a benchmark, not a production security tool.
- It only evaluates detection and does not provide a full audit pipeline.
- The interface is focused solely on high-severity findings, so it may miss medium/low severity issues that matter in a comprehensive review.
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