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Visual Studio Code>Programming Languages>SANGKUR — AI Security ScannerNew to Visual Studio Code? Get it now.
SANGKUR — AI Security Scanner

SANGKUR — AI Security Scanner

SANGKUR

| (0) | Free
Find vulnerabilities in your code with 7-engine AI security analysis. SQLi, XSS, SSRF, CSRF, and 40+ vulnerability types detected inline.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

SANGKUR — AI Security Scanner for VSCode

Find vulnerabilities in your code as you type. Powered by a 7-engine security analysis pipeline.

Features

  • Scan on Save — Automatically detect vulnerabilities when you save a file
  • Inline Diagnostics — See findings as squiggly underlines in your editor
  • Quick Fix — One-click fix suggestions (Ctrl+.)
  • Hover Details — Hover over findings to see description, CWE, OWASP mapping, and fix code
  • Sidebar Panel — Browse all findings by file with severity indicators
  • Folder Scan — Right-click a folder to scan all files

Supported Languages

Python, JavaScript, TypeScript, PHP, Java, Go, Ruby, C#, Rust, Dockerfile, Kubernetes YAML, and more.

What It Detects

  • SQL Injection, XSS, CSRF, SSRF
  • Command Injection, Path Traversal
  • Insecure Deserialization, SSTI
  • JWT Issues, OAuth Misconfig
  • Race Conditions, Business Logic Flaws
  • Hardcoded Secrets (50+ patterns)
  • Dependency CVEs
  • Docker/Kubernetes misconfigurations
  • And 40+ more vulnerability types

Getting Started

  1. Install the extension
  2. Get a free API key at sangkur.com
  3. Run command: SANGKUR: Set API Key
  4. Start coding — findings appear automatically on save

Configuration

Setting Default Description
sangkur.scanOnSave true Auto-scan on file save
sangkur.scanProfile quick quick (0.5 credit) or deep (1 credit)
sangkur.maxFileSize 100000 Skip files larger than 100KB
sangkur.excludePatterns node_modules, vendor, dist Glob patterns to exclude

Credits

  • Free tier: 30 credits/month (~60 file scans)
  • Pro: 200 credits/month
  • Team: 2,000 credits/month

Links

  • Website
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