consensysdiligence/mythril

Mythril is a symbolic-execution-based securty analysis tool for EVM bytecode. It detects security vulnerabilities in smart contracts built for Ethereum and...

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Summary Information

Updated 59 minutes ago
Added to GitGenius on September 16th, 2026
Created on September 18th, 2017
Open Issues & Pull Requests: 130 (+0)
GitHub issues: Enabled
Number of forks: 818
Total Stargazers: 4,271 (+0)
Total Subscribers: 79 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 42.8 hours
Mean response time: 188.5 days
90th percentile: 713.3 days
Tracked items: 14

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Issue Activity (beta)

Open issues: 17
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 927 days
Stale 30+ days: 17
Stale 90+ days: 16

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Type: bug 🐛 (5)
  • Component: laser (1)
  • Performance (1)
  • Priority: Medium (1)
  • Type: enhancement (1)
  • Type: maintenance (1)
  • in progress (1)

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Detailed Description

Mythril is a symbolic-execution-based security analysis tool for EVM bytecode that detects vulnerabilities in smart contracts built for Ethereum and other EVM-compatible blockchains.

Smart contract security is critical because deployed code is immutable and often controls significant value, yet manual code review alone misses subtle vulnerabilities. Mythril addresses this by performing symbolic execution on compiled EVM bytecode, exploring multiple execution paths to identify potential security flaws without requiring access to source code. This approach allows it to analyze contracts regardless of the original programming language and to detect issues that arise from bytecode-level interactions.

Mythril suits teams building or auditing smart contracts who want automated vulnerability detection as part of their development workflow. Because it operates on bytecode rather than source code, it can analyze compiled contracts from any EVM language. Organizations conducting security audits or implementing continuous integration checks for smart contract deployments will find it particularly valuable for catching common vulnerability classes before code reaches production.

The project maintains steady development activity with regular updates addressing new vulnerability patterns and improvements to the symbolic execution engine. The codebase receives consistent refinement to enhance detection accuracy and reduce false positives. Community contributions are actively integrated, and the tool continues to evolve in response to emerging threats in the EVM ecosystem.