Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.vidocsecurity.com/llms.txt

Use this file to discover all available pages before exploring further.

Vidoc uses AI to find real security vulnerabilities in your code while minimizing false positives.

Context Engine

At the heart of Vidoc is our Context Engine - AI that deeply understands your codebase. Unlike traditional scanners that match patterns, Vidoc’s Context Engine analyzes how your code actually works. This means:
  • Fewer false positives - Findings are validated against your actual code context
  • Finds complex issues - Detects vulnerabilities that pattern matching misses
  • Understands your codebase - Considers your frameworks, libraries, and coding patterns

What Vidoc Detects

Attack Vulnerabilities

Security threats that can be directly exploited:
  • SQL Injection
  • Cross-Site Scripting (XSS)
  • Command Injection
  • Server-Side Request Forgery (SSRF)
  • Path Traversal
  • And more…
See Attack Vulnerabilities for the full list.

Compliance Issues

Security weaknesses and misconfigurations:
  • Hardcoded Secrets
  • Weak Cryptography
  • Insecure Transport
  • Information Disclosure
  • Misconfigurations
See Compliance Issues for the full list.

Learnings

Vidoc gets smarter as you use it. When you mark an issue as a false positive, Vidoc creates a learning that feeds back into the Context Engine.
  • Provide a reason when ignoring issues
  • Learnings apply to future scans automatically
  • Your team’s knowledge improves detection accuracy
See Learnings for more details.

Security & Privacy

  • Your code is encrypted in transit and at rest
  • Code is processed securely and not stored permanently
  • Scan results are retained according to your settings

Security Categories

Full list of detected issues

Learnings

How learnings improve accuracy

Issues

Review scan results

Quickstart

Run your first scan