ByteHide Secrets vs Kingfisher
ByteHide Secrets
docs.bytehide.comKingfisher
github.comSide by side
| Figure | ByteHide Secrets | Kingfisher |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Secrets Scanning Software | 8.2 (#5) | 7.8 (#12) |
| Integrations | Listed integrations include GitHub, GitHub Actions, Azure DevOps, AWS, Jenkins, GitLab CI, Webpack, and Vite. | 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. |
| Purpose | ByteHide Secrets combines secret detection with secret management to find hardcoded credentials and centralize sensitive data. | Kingfisher scans for leaked secrets, checks which credentials are live, maps their blast radius, and supports revocation for supported credentials. |
Plans
In their own words
ByteHide Secrets
ByteHide Secrets pairs secret scanning with centralized management for sensitive values. Its scanner searches source code, compiled binaries, repositories, and commit history, and can run locally or in CI/CD pipelines, including pull-request scanning. Listed targets range from API keys and cloud or database credentials to certificates, SSH keys, Kubernetes secrets, and infrastructure-as-code secrets. ByteHide says its machine-learning detection is intended to find secrets while limiting false positives; its documentation says scanning stays local and source code does not leave the user's environment.
For managing values, the product supports separate development, staging, and production settings, role-based access, audit logs, and SDK integration. ByteHide Vault provides encrypted, versioned storage, rollback, a local encrypted vault for isolated setups, cloud syncing, and scheduled credential rotation. Listed safeguards include encryption in transit and at rest, a zero-knowledge architecture, IP allowlisting, custom headers, and two-factor authentication. Integrations include GitHub, GitHub Actions, Azure DevOps, AWS, Jenkins, GitLab CI, Webpack, and Vite. It runs on API, Linux, macOS, self-hosted environments, web, and Windows. The free plan is free, with up to 2,000 secrets and no credit card required; a 14-day trial is also listed.
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.