Enterprise-grade static analysis for Windows executables. Detect 30+ vulnerabilities with AI-powered threat intelligence, memory analysis, fuzzing, and ML predictions.
Everything you need to secure your thick client applications
Memory corruption, injection attacks, crypto issues, and more
Fetches latest threats from MITRE CWE, CAPEC, NVD
Ghidra for native, dnSpy for .NET assemblies
HTML, JSON, CSV, PowerPoint, PDF with heatmaps
ASLR, DEP, SafeSEH, CFG, HighEntropyVA checks
CVE lookup, Exploit-DB, VirusTotal integration
Scans process memory for secrets, injected code, anti‑debug
Auto‑generates malformed inputs to discover crashes
Predicts risky functions based on historical data
Reduces noise by learning from user feedback
Creates Software Bill of Materials for dependencies
Copy‑paste safe code examples for each vulnerability
Organizations are struggling to keep pace with an explosion of vulnerabilities — and the result is manual bottlenecks, delayed patches, and preventable breaches. Each Common Vulnerabilities and Exposures (CVE) consumes valuable IT resources — from assessing priority and impact to identifying fixes, testing for downstream effects, and deploying patches. Traditional scoring systems like CVSS often compound the problem: they measure severity, not real-world risk. The result is wasted effort on low-impact issues while true threats linger, leaving critical systems exposed.
The number of new CVEs has increased by more than 520% since 2016, overwhelming security teams.
52% of organizations admit they are falling behind because they still rely on manual workflows.
Traditional systems like CVSS measure technical severity, not real-world exploitability — wasting effort on the wrong issues while true threats linger.
47% of vulnerabilities remain unpatched even 12 months after discovery — and 60% of breaches stem from flaws that already had available fixes.
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