Multi-Pattern Sensitive Data Discovery & Audit Scanner

The Multi-Pattern Sensitive Data Discovery & Audit Scanner provides security analysts, privacy auditors, and software engineers with an advanced inspection tool for discovering sensitive data across 25+ distinct pattern categories.

Unlike simple regex tools that only find email addresses, this scanner evaluates text against international government identifiers (US SSN, UK NIN, Canadian SIN, EU National IDs), payment cards with Luhn checksum validation, high-entropy cryptographic secrets (AWS access keys, GitHub tokens, RSA private keys), and healthcare records—all executing 100% locally in browser memory.

Detecting hardcoded cryptographic secrets and API tokens presents a unique challenge: unlike credit cards or Social Security Numbers, tokens often lack uniform formatting. Searching purely with regular expressions results in either massive false positives or missed custom tokens.

Advanced discovery scanners combine regex prefix matching with Shannon Entropy analysis. Shannon entropy measures the amount of randomness or information density in a character string. Standard English text and variable names typically exhibit low entropy (2.5–3.5 bits per character), whereas cryptographically generated secrets (such as AWS secret keys or Base64 hashes) exhibit high entropy (> 4.5 bits per character). Combining high entropy thresholds with keyword proximity yields high-fidelity secret discovery.