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Email detection

A publicly auditable detection pattern in the LeakSnitch engine. Category: Personal Data (PII). Severity: Medium.

Short answer

LeakSnitch detects email with a base score of 70 (Medium severity). The pattern below is fully public, so any security team can verify exactly what gets flagged before rollout.

regex / gpattern v1
([a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,})

Base score

70 / 100

Severity

Medium

Category

Personal Data (PII)

Why it matters

Email addresses inside prompts are scored with surrounding context, so a single work email does not block a prompt but a pasted mailing list does.

In the LeakSnitch engine this pattern is one of 58 public rules combined with context signals, entropy analysis, and checksum validators. A single match never blocks by itself; the full context aware scoring decides whether email in a prompt is a real leak or a false positive.

Frequently asked questions

Why is the email pattern public?

LeakSnitch's competitive advantage is the context aware engine, not hidden regexes. Publishing every pattern lets security teams audit, test, and trust the detection before it ships to their organization.

Can I test this email pattern?

Yes. Paste sample text into the free LeakSnitch scanner in your browser and watch the exact detection in action, including severity and scoring.

Does LeakSnitch use other signals for email?

This public pattern is the format based layer. The engine adds context signals, disclosure phrasing, entropy fallback, and checksum validation to confirm high confidence before blocking.

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