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detect-secrets vs Kingfisher

detect-secrets

github.com

Kingfisher

github.com

Side by side

Figuredetect-secretsKingfisher
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hostedYesYes
Plans published11
Spec score · Secrets Scanning Software8.5 (#3)7.8 (#12)
DetectionIts detection strategies include regex rules, entropy heuristics, and keyword detection.The project describes a multithreaded Vectorscan scanning engine and support for Betterleaks TOML and Kingfisher YAML rule formats.
InstallationThe project documents installation with pip or Homebrew.The project documents prebuilt releases, Homebrew, mise, Linux and macOS installers, a Windows installer, PyPI wheels, Docker, and source builds.
IntegrationsThe README documents installation through pip and Homebrew and integration as a pre-commit hook.Documented platform integrations include GitHub, GitLab, Azure Repos, Bitbucket, Gitea, Hugging Face, AWS S3, Google Cloud Storage, Docker, Jira, Confluence, Slack, Microsoft Teams, and Postman.
LicenseThe repository identifies its license as Apache-2.0.The repository states that Kingfisher is licensed under Apache License 2.0.
Purposedetect-secrets detects secrets in code and helps prevent new secrets from entering a codebase.Kingfisher scans for leaked secrets, checks which credentials are live, maps their blast radius, and supports revocation for supported credentials.

Plans

detect-secrets

  • detect-secretsFree

detect-secrets pricing →

Kingfisher

  • Free and open sourceFree

Kingfisher pricing →

In their own words

detect-secrets

detect-secrets is a free, open-source Python module for finding secrets in codebases and helping stop new secrets from entering Git changes. It runs on Linux, macOS, and Windows, with self-hosted use documented through pip or Homebrew. Heuristic regular expressions inspect changes for newly committed secrets, alongside entropy and keyword detection. The scan command creates or updates a baseline of potential findings; hook flags new secrets; and audit lets analysts review, label, report, or compare baseline entries. Users can configure it as a pre-commit hook with the pre-commit framework. Built-in plugins and filters can be adjusted, and custom detector plugins and filters can be developed. Exclusions, matching-line or file exclusions, secret-value exclusions, and inline allowlist comments help handle false positives. The package can also be imported into Python scripts to scan files and serialize findings. Word-list filtering and gibberish detection require optional packages, and gibberish detection is disabled by default. The project uses Apache-2.0 licensing.

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Kingfisher

Kingfisher is a free tool for scanning for leaked secrets, checking whether credentials are live, mapping their blast radius, and supporting revocation for some credentials. It can scan files, directories, Git repositories and history, archives, SQLite databases, Python bytecode, Docker images, cloud storage, and developer platforms. Documented integrations include GitHub, GitLab, Azure Repos, Bitbucket, Gitea, Hugging Face, AWS S3, Google Cloud Storage, Docker, Jira, Confluence, Slack, Microsoft Teams, and Postman. The project describes a multithreaded Vectorscan engine and supports Betterleaks TOML and Kingfisher YAML rules. Reports can be human-readable or exported as TOON, JSON, JSONL, SARIF, BSON, or HTML. A local viewer can combine and deduplicate Kingfisher, SARIF, Gitleaks, and TruffleHog reports. Revocation is opt-in and depends on a supported provider workflow. Live validation and blast-radius mapping make provider API requests, which should only be used when authorized. Kingfisher runs on Linux, macOS, and Windows, and supports self-hosted use.

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