Log File Sanitization
Clean logs before sharing with support teams or vendors
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**
Drag your .log, .txt, or .json log file into Redactorr.
Format Detection**
Redactorr automatically recognizes:
- JSON logs (structured)
- Plain text logs (unstructured)
- Common log formats (Apache, Nginx, etc.)
- Multi-line stack traces
Pattern Recognition**
The system finds sensitive data across:
- Log message bodies
- JSON field values
- Query parameters in URLs
- Header values
- Exception messages
Context Preservation**
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**
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.
Need help?