fastsecret
A fast, zero-config Rust CLI that scans repositories for leaked API keys, tokens and credentials before they reach production.
Overview
I built fastsecret as a practical security tool for developers. It detects possible leaks of API keys, tokens and credentials before code reaches a public repository, using modern rules for common providers like AWS, Stripe, OpenAI, Slack, Firebase and GitHub. The focus is speed, simplicity and developer experience: run it locally, get clear severity feedback and fix risky files early.
Why detect secrets before a push?
A credential committed to a repository can remain exposed in history even after the visible line is removed. fastsecret moves detection earlier, when a developer can still correct the file before publication. The tool focuses on a narrow, repeatable check that fits local development and continuous-integration workflows.
How does the scanning workflow behave?
The CLI scans repository content for patterns associated with API keys, tokens and credentials from common providers. Findings include severity feedback so the developer can prioritize review. Zero configuration keeps the first run simple, which matters for a preventive tool that only helps when teams actually remember and choose to execute it.
Why was Rust a good fit?
Repository scanning can touch many files, so startup time, predictable resource use and a portable command-line experience matter. Rust supports a fast standalone binary without a language runtime on the target machine. It also makes the tool suitable for local hooks and automated pipelines where execution overhead should remain small.
What are the limits of this approach?
Pattern matching is a preventive signal rather than proof that every finding is an active credential. A useful scanner must balance coverage with false positives and present enough context for review. It complements provider-side rotation, repository protections and secret management; it does not replace those controls after a real credential has leaked.
Stack
Links
- Period
- 2025
- Status
- Closed
- Type
- Tool
- Context
- Personal
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