Code Scan · static analysis for any language

Upload the code. Get the fix list.

Zip the project folder and drop it here. Kavach streams through every file for the mistakes that AI assistants and busy humans make most: SQL built from strings, shell commands with user input, unescaped output, credentials in source, wide-open CORS, disabled TLS checks, unsafe deserialisation, debug left on, and Firebase or Supabase rules that let everyone in. Works on React, Node, PHP, Python, Java, Kotlin, C#, Go, Ruby, Docker, Terraform and config files, up to hundreds of thousands of lines.

🔒 Nothing is storedThe archive is analysed in memory, never extracted to disk, and deleted the moment the scan finishes. Only the report is kept, with credential values masked.
🤖 Fixes you can paste into your AI toolEvery report comes with a remediation prompt written for Claude Code, Cursor, Copilot or ChatGPT: open file, confirm, fix, find the same pattern elsewhere.
🧠 Ask Kavach AI, on our serverOn any finding, ask for a second opinion: likely real or likely false positive, why, and a draft of the fixed line. Only that one excerpt is processed, by a model on Kavach's own server or by an inference provider that does not train on your data; each answer says which.
📋 Mapped to CWE and OWASPEach finding carries its CWE and OWASP Top-10 category, severity, occurrence count and the exact file and line.
⚖ Honest about limitsPattern-level analysis, not a human review. Expect some false positives, verify each fix, and read the disclaimer.

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2. Upload a zip

Drop your project .zip here, or click to choose Leave out node_modules, vendor, build and .git folders to stay under your plan's size limit. They are skipped anyway. I own this code or am authorised by its owner to have it analysed, and I understand the archive is processed automatically and deleted after the scan.

Previous scans

How it works

UploadThe zip is written once to an isolated upload area and queued. It is never extracted.
Stream and matchA worker reads each file straight from the archive, skips vendored and minified code, and runs language-aware rules with a cheap prefilter so large repositories finish in seconds to a few minutes.
Report and deleteFindings are grouped, graded and mapped to CWE/OWASP; the archive is deleted whatever the outcome.
Fix with your AI toolCopy the remediation prompt into the assistant that wrote the code, let it fix every occurrence, then re-scan. Unsure about a finding? Ask Kavach AI for a second opinion first; answers are drafts from a local model and can be wrong.

Limits per plan are on the pricing page. The live-site audit on the home page complements this scan by checking what an attacker sees from outside.