Static Application Security Testing

Find Real Vulnerabilities. Not False Positives.

VEXLIT's SAST engine analyzes your code at the AST level - tracking data flow from source to sink, recognizing sanitizers, and filtering noise. The result: high-confidence findings you can act on immediately.

Traditional scanners create more noise than signal

Most SAST tools flood developers with hundreds of alerts, 80% of which are false positives. Teams waste hours triaging phantom vulnerabilities while real risks slip through. VEXLIT takes a different approach.

80%

of SAST alerts are false positives industry-wide

~3%

false positive rate with VEXLIT's AST analysis

6,200+

security rules across 34 languages

Taint Analysis in Action

Taint Analysis in Action

Watch how VEXLIT traces data flow from user input to dangerous operations - detecting vulnerabilities that pattern-matching tools miss.

SOURCE
req.query.id
User Input
TRANSFORM
"SELECT * FROM users WHERE id=" + id
String Concat
SINK
db.query(sql)
Database Query
Tainted data flows from user input to database query without sanitization - SQL Injection detected
Key Features

AST-Based Taint Analysis

Not just pattern matching - VEXLIT parses your code into an Abstract Syntax Tree and traces data flow from user input (sources) through transformations to dangerous operations (sinks). If the data is sanitized along the way, it's not flagged.

Cross-Function Data Flow

Track tainted variables across function calls, file imports, and module boundaries. When getUserInput() flows through processData() into executeQuery(), VEXLIT follows the entire chain.

Sanitizer-Aware Detection

55+ sanitizer patterns recognized out of the box. DOMPurify.sanitize(), parseInt(), html.escape(), shlex.quote() - if your code properly sanitizes input, VEXLIT won't flag it.

OWASP Top 10 Complete Coverage

SQL Injection, XSS, Command Injection, Path Traversal, SSRF, Insecure Crypto, Prototype Pollution, and more. Every rule maps to CWE identifiers and OWASP categories.

VEXLIT Before & After

VEXLIT SAST
routes/users.js
Vulnerable - SQL Injection (CWE-89)
1app.get("/users", (req, res) => {
2 const id = req.query.id;
3 // ⚠ Tainted input flows to SQL sink
4 db.query("SELECT * FROM users WHERE id=" + id);
5});
How It Works

How It Works

1

Parse AST

Every file is parsed into an Abstract Syntax Tree using Tree-sitter. Not regex - real structural analysis that understands your code's syntax.

2

Track Taint

Tainted variables (user input, external data) are tracked across assignments, function calls, and module boundaries using interprocedural analysis.

3

Detect Sinks

When tainted data reaches a dangerous operation (db.query, exec, innerHTML) without sanitization, a high-confidence vulnerability is reported.

4

Generate Fixes

Each finding includes a context-aware fix: parameterized queries for SQLi, DOMPurify for XSS, execFile for command injection. Copy-paste ready.

Under the Hood

Tree-sitter + @typescript-eslint for JS/TS, tree-sitter for Python - full AST parsing, not regex-only

Interprocedural taint analysis with source→variable→sink tracking across function boundaries

55+ sanitizer patterns: DOMPurify, parseInt, html.escape, shlex.quote, parameterized queries

34 languages: JS/TS, Python, Java, Go, C#, PHP, Ruby, Rust, Kotlin, Swift, Scala + IaC

Confidence scoring combines rule weight (0.95/0.75/0.50) with taint reachability analysis

SARIF output for GitHub Security tab integration and CI/CD pipeline reporting

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