For Security Analysts
Master Regular Expressions in Real-Time
Start Scanning View DocumentationIdentify ReDoS Vulnerabilities Before Deployment
RegExLab provides security teams with deterministic complexity analysis, backtracking limits, and real-time sanitization previews. Catch catastrophic backtracking patterns in Express.js routes, ASP.NET middleware, or Python FastAPI validators before they hit production.
Automated ReDoS Scanning
Our engine parses your regex against 14,000+ known vulnerable patterns from the OWASP Top 10. It flags nested quantifiers like (a+)+ and generates patch recommendations in under 200ms.
Input Sanitization Pipelines
Build and test allowlists for email, URL, and JWT validation. RegExLab visualizes match boundaries and escape sequences, ensuring strict compliance with RFC 5322 and RFC 3986 standards.
CI/CD Integration
Push your patterns to our API endpoint api.regexlab.io/v2/audit. Receive JSON reports detailing time-complexity scores, maximum backtrack counts, and safe alternatives for GitHub Actions and GitLab pipelines.
Examples from SOC Teams
See how enterprise security operations center teams use RegExLab to harden web applications and reduce false positives in SIEM rule sets.
Log Parsing for Splunk & Elastic
Marcus Chen, Senior Threat Hunter at FinGuard, uses our backtracking visualizer to optimize Grok patterns. He reduced parsing latency by 64% across 2.1TB of daily Nginx access logs by replacing greedy .* with atomic groups (?>.*).
WAF Rule Validation
The DevSecOps team at CloudBridge tested 340 ModSecurity CRS rules in RegExLab. They identified 12 patterns prone to catastrophic backtracking when processing malformed XML payloads and deployed hardened versions within 48 hours.
API Gateway Filtering
Sarah Jenkins, Principal Security Engineer, integrated our sanitization module into their Kong API gateway. The tool now blocks 98.7% of regex-based injection attempts while maintaining sub-5ms response times for legitimate traffic.