Browser Fingerprint Data detection
A publicly auditable detection pattern in the LeakSnitch engine. Category: Personal Data (PII). Severity: Medium.
Short answer
LeakSnitch detects browser fingerprint data 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.
(User-Agent:\s*[^\n]+|\b\d{1,3}(?:\.\d{1,3}){3}\b|session\s*id\s*[:=]\s*\w+)Base score
70 / 100
Severity
Medium
Category
Personal Data (PII)
Why it matters
Personal data in prompts creates GDPR, HIPAA, and DPDP exposure the moment it leaves the device. This pattern flags it before submission.
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 browser fingerprint data in a prompt is a real leak or a false positive.
Frequently asked questions
Why is the browser fingerprint data 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 browser fingerprint data 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 browser fingerprint data?
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.
Related patterns
Stop AI leaks on the device, not in the cloud.
Install LeakSnitch in under 30 seconds and protect every prompt sent to ChatGPT, Claude, Gemini, and 25+ AI tools. Free for individuals.