codesafer

Scan a single file for hidden malicious code patterns (invisible chars, BiDi, homoglyphs, steganography, obfuscation, etc.)

Recursively scan a directory for hidden malicious code patterns across all source files

Scan an AI configuration/rules file for prompt injection and Rules File Backdoor attacks

Check package.json for typosquatting, suspicious install scripts, and dependency risks

Deep AI analysis of code using the trained CodeBERT model. Classifies code chunks as malicious or benign with confidence scores. Detects obfuscated payloads, novel attack patterns, and threats that static rules may miss.

Get detailed explanation of a specific threat category including attack scenarios, real-world examples, and remediation steps