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TestDino scans test artifacts for secrets and replaces them with masked values before they appear in the dashboard. This prevents accidental exposure of tokens, passwords, API keys, and credentials during debugging and review.
NoteData Redaction is an Enterprise plan feature. Contact support@testdino.com to enable it.

Quick Reference


How Redaction Works

1. Detection

When artifacts (traces, logs, console output) are uploaded, the system scans content for patterns matching sensitive information.

Detected Patterns

2. Scrubbing

Identified secrets are replaced with *********. No sensitive values persist in readable form.
before-redaction.json
after-redaction.json

3. Secure Backup

TestDino retains an encrypted backup of the original unredacted files for authorized audit and incident investigation.
  • Encrypted at rest using AES-256
  • Access restricted to designated security administrators
  • Both versions follow the organization’s configured data retention policy
  • Backup access is logged for audit trail

4. Display

When viewing or downloading artifacts in the dashboard:
  • Detected secrets appear as *********
  • Redaction applies across all artifact types: traces, logs, console output
  • Original artifact structure and formatting is preserved. Only secret values are replaced.

What Gets Redacted

What Does NOT Get Redacted

  • Test titles and descriptions (user-authored content)
  • File paths and line numbers
  • Non-secret environment metadata (OS, Node.js version, browser settings)
  • Git metadata (commit hashes, branch names, author names)
  • Test statistics and timing data

Infrastructure-Level Log Redaction

TestDino uses structured logging with built-in sensitive data redaction at the infrastructure level. This runs independently of the artifact redaction feature and is active on all plans.
  • Passwords, tokens, and API keys are stripped from application logs
  • Audit logs record user ID, action, resource, and IP address

Access to Customer Data

Full list of data TestDino collects

Data Retention

Retention periods by tier and data category