Scan Python, Java, and C++ projects with OWASP-aware static analysis and AI-powered remediation guidance.
Critical
147
High
38
Fixed
61
Risk Score
8.4
Severity Breakdown
Critical
147
High
38
Medium
12
Low
151
Remediation Queue
SASTRA AI
Security assistant
Online
Found 3 critical vulnerabilities. CWE-89 on line 42 is the highest priority.
How do I fix the SQL injection?
OWASP Top 10 Rule CoverageClient-Ready PDF ReportsBuilt-in False Positive Filtering3 LanguagesPython · Java · C++Top 3 FocusRemediation Queue1-Click FixesAI Code SuggestionsOWASP Top 10 CoverageOWASP Top 10 Rule CoverageClient-Ready PDF ReportsBuilt-in False Positive Filtering3 LanguagesPython · Java · C++Top 3 FocusRemediation Queue1-Click FixesAI Code SuggestionsOWASP Top 10 Coverage
How SASTRA Works
Full scan pipeline, features & capabilities
Scan Pipeline — Step by Step
1
Upload your code
Submit a single source file (.py, .java, .cpp) or a ZIP archive. SASTRA supports Python, Java, and C/C++ — up to 25 MB and 250 files per scan.
2
AST & regex scanning
For Python, SASTRA parses code into an Abstract Syntax Tree for context-aware checks. For Java and C++, pattern rules map directly to CWE IDs — catching injection, overflow, weak crypto, and more.
3
ML enrichment & false positive filtering
A machine learning classifier predicts severity and flags likely false positives — dramatically reducing noise so you can focus on real issues.
4
Remediation Queue
The top 3 most impactful issues are surfaced in a prioritized queue, ranked by severity, ML confidence, and estimated fix effort.
5
Fix generation & PDF export
Click "Fix now" on any finding to generate a secured code replacement. Export a full PDF security report ready to share with your team or clients.
Key Features
Static Code Analysis
Deep AST-based and pattern scanning across Python, Java, and C++. Vulnerability patterns mapped to CWE and OWASP standards.
ML Severity Classification
Classifies findings as Critical, High, Medium, or Low so you can prioritize the issues that matter most.
False Positive Filtering
The ML classifier automatically flags likely false positives, cutting noise and focusing attention on real threats.
Instant AI Code Fixes
One-click fix generation produces a secured replacement — auto-marked as fixed so you can track remediation progress.
PDF Security Reports
Export a client-ready PDF with all findings, severity breakdown, CWE/OWASP references, and remediation guidance.
Remediation Tracking
Mark vulnerabilities as fixed, track progress by severity, and hide resolved issues to focus on what remains.