Manpages often contain more than documentation. They can hide names, emails, API keys, and other forms of personally identifiable information (PII). Most engineers don't expect PII in manpages, but when these files are scraped, indexed, or shipped inside containers, leaks happen silently and at scale.
Manpages PII detection is the process of scanning system and application manual pages for sensitive data before distribution. This requires precise text parsing that can handle varied formatting, escape sequences, and localized versions. Regex alone is brittle here. A robust pipeline should normalize each manpage, strip non-content artifacts, and run targeted detection patterns for emails, IPs, phone numbers, and other identifiers.
Building PII detection for manpages means dealing with plain text and specialized markup. Some manpages include embedded examples and configuration lines that mimic sensitive data formats. Detecting PII in these contexts demands a scanner that differentiates between placeholders and actual secrets. False positives waste time; false negatives cause breaches.