Evidence-Driven
Security.
Zero Guesswork.
Limma analyzes real attack surfaces with verified evidence, eliminating false positives and surfacing only what truly matters across your entire ecosystem.
Security Teams Waste Time
Chasing Synthetic Noise
Legacy security tools haven't kept pace with modern web complexity. Limma bridges the gap between raw scanning and verified intelligence.
Excessive False Positives
Traditional scanners lack runtime context, burying teams under thousands of meaningless alerts.
Manual Verification Sink
Pentesters waste up to 40% of their time manually verifying if a finding is actually exploitable.
Critical Blind Spots
Complex evasion techniques and modern web architectures are missed by static signature matching.
Fragmented Tooling
Security engineers string together dozens of disjointed tools, losing context across the attack path.
Misleading CVSS Scores
Risk assessment is based on theoretical severity rather than actual real-world exploitability.
PoC Overhead
Generating Proof-of-Concepts to convince developers requires extensive custom script development.
Intelligence in Action
We don't just report vulnerabilities; we execute precision sweeps and provide instant technical proof with concrete evidence.
HttpInvestigatorv1.2
Derinlemesine altyapı istihbaratı ve WAF/CDN parmak izi çıkarma...
Built Different.
Proven Better.
| Core Capability | Limma | Nessus | Burp Suite | Nuclei | OWASP ZAP | Acunetix |
|---|---|---|---|---|---|---|
Epistemic Accuracy 4-level certainty scoring per finding | ||||||
False Positive Filtering ML-powered noise elimination | ||||||
Real-time SSE Streaming Live scan result delivery | ||||||
Autonomous PoC Verification Zero-manual proof generation | ||||||
Dynamic Rule Engine YAML/JSON hot-reload without recompilation | ||||||
Reputation Engine Domain trust scoring system |
Unmatched Execution
Built in Rust
Our engine completely redefines scanner performance, merging memory safety with microsecond-level precision.
Verify Our Claims
Inspect the test scenarios, expected outcomes, and validation methodology. Run it yourself and compare results against Limma.
Limma follows an evidence-driven detection model that eliminates false positives by requiring runtime validation, which may introduce controlled false negatives.
Bu proje şu anda yapım aşamasındadır
ve geliştirme süreci devam etmektedir.
Limma's Rust-based concurrency model and performant string parsing deliver enterprise-grade vulnerability scanning at unprecedented speed.