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Log File Sanitization

Clean logs before sharing with support teams or vendors

3 min readAuthor: Redactorr Support Team · [email protected]Last reviewed: March 2026

Sharing Logs Safely

Log files are essential for debugging, but they're also a goldmine of sensitive information. When you need to share logs with your support team or a vendor, you need to be careful.

What's Hiding in Your Logs?

Application and server logs often contain:

  • User email addresses and usernames
  • API keys and access tokens
  • Database connection strings
  • IP addresses and session IDs
  • Error messages with personal data
  • Request payloads with sensitive info
  • Authentication credentials
  • Internal server names and paths

A Risky Situation

You're having a problem with your app and need to send logs to your cloud provider's support team. But looking through the logs, you see:

  • Customer email addresses from login attempts
  • API keys from third-party integrations
  • Database credentials in error messages
  • User IDs and session tokens
  • Internal IP addresses

You need help debugging, but you can't share all this sensitive data.

How Redactorr Helps

Upload Your Log File**

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Drag your .log, .txt, or .json log file into Redactorr.

Format Detection**

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Redactorr automatically recognizes:

  • JSON logs (structured)
  • Plain text logs (unstructured)
  • Common log formats (Apache, Nginx, etc.)
  • Multi-line stack traces

Pattern Recognition**

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The system finds sensitive data across:

  • Log message bodies
  • JSON field values
  • Query parameters in URLs
  • Header values
  • Exception messages

Context Preservation**

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Unlike simple find-and-replace, Redactorr:

  • Keeps timestamps intact
  • Preserves log levels (INFO, ERROR, etc.)
  • Maintains request/response structure
  • Keeps error codes and types
  • Preserves the flow for debugging

Export Clean Logs**

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Download sanitized logs that are:

  • Safe to share with third parties
  • Still useful for debugging
  • Keeping all the structure and context

What Stays?

To keep logs useful for debugging:

  • Timestamps
  • Log levels (INFO, WARN, ERROR)
  • Error types and codes
  • Stack trace structure
  • Request paths (with params redacted)
  • Response codes
  • Performance metrics

Use Cases

Sharing with Cloud Support: Remove your data while keeping infrastructure details visible.

Cross-Team Debugging: Share logs with contractors without exposing customer data.

Open Source Issues: Post logs to GitHub issues without leaking production secrets.

Compliance: Keep audit logs compliant by removing PII before archival.