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Scan binary artifacts for sensitive strings and detect telemetry leak risks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "re-leak-scan" yet — see the docs or source repo.
Use re-leak-scan to scan this desktop app installer. Check for Sentry DSNs, Slack tokens, AWS keys, or other sensitive strings that may expose publisher telemetry pipelines, and list findings by risk level.
A scan report listing detected sensitive strings, their locations, risk levels, and remediation suggestions.
Run re-leak-scan on all binary artifacts from this build. Output high- and medium-severity leak findings; if any suspected keys, tokens, or telemetry configuration leaks are found, summarize them in a CI-ready report.
A CI-friendly audit report highlighting issues severe enough to block release.
Scan this third-party binary and identify potentially exposed Sentry DSNs, Slack tokens, AWS keys, or other sensitive information, then assess whether publisher monitoring or telemetry configuration is exposed.
A list of suspicious sensitive items with an assessment of possible telemetry or credential leakage.
Scan code and text for leaked secrets and exposed API credentials.
Scan code secrets, verify live keys, and rewrite them to env vars.
Scan codebases for secrets, SAST issues, vulnerable dependencies, and IaC risks.
Run one-click code security audits to find vulnerabilities and leaked secrets.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Scan MCP servers for runtime, static, config, dependency, and compliance risks.