Token/Secret Pattern Scanner
Scan text for common leaked token patterns locally.
Best-fit workflows
Secret hygiene checks for commits, logs, and incident-response snippets.
How to use this tool effectively
- Open the interactive UI and confirm expected input/output format hints.
- Scan redacted text snapshots and avoid exposing live credentials during triage.
- Run the transformation or validation, then compare output with an expected fixture.
- Copy, export, or chain the result into the next step of your workflow only after validation.
Practical example
Example: scan a pull-request diff to catch accidentally committed API keys before merge.
Validation checklist
- Treat findings as triage signals, then confirm and rotate impacted credentials.
- Confirm character encoding and whitespace assumptions before concluding output is incorrect.
- Keep sample inputs reproducible so teammates can confirm the same result.
Edge cases to verify
- Base64 blobs can hide secrets that pattern matching does not decode first.
- Look-alike strings can trigger false alarms and require manual confirmation.
Quality and safety notes
Pattern scanners can miss novel secret formats and produce false positives.