pip install cognis-secretsweep
secretsweep scan . # → prioritized findings in secondssecretsweep is a zero-install secret scanner with 50+ provider rules, Shannon-entropy detection, and allowlist/baseline support. Console script: secretsweep.
- Install:
pipx install secretsweep # or: pip install secretsweep - Scan files, a directory, or stdin for secrets:
Exit
secretsweep scan ./src --format json | jq '.summary' cat config.yml | secretsweep scan
2= secrets found,0= clean,1= error. - Record a baseline of currently-accepted findings so existing secrets don't block the build:
secretsweep baseline . --output .secretsweep.baseline - Verify against the baseline in CI — fail only on new secrets at/above a severity floor:
secretsweep verify . --baseline .secretsweep.baseline --severity high - Tune the scan with allowlists and the entropy detector, or list the bundled rule pack:
secretsweep scan . --exclude '*/tests/*' --allow-regex 'AKIA_EXAMPLE_.*' --entropy-threshold 4.5 secretsweep rules --format json
- Why secretsweep? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing
Repo secret scanner + auto-rotator across providers — without standing up heavyweight infrastructure.
secretsweep is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.
- ✅ Shannon Entropy
- ✅ Redact
- ✅ Scan Text
- ✅ Scan Path
- ✅ Rotation Plan
- ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
- ✅ Ports in Python, JavaScript, Go, and Rust (
ports/)
pip install cognis-secretsweep
secretsweep --version
secretsweep scan . # scan current project
secretsweep scan . --format json # machine-readable
secretsweep scan . --fail-on high # CI gate (non-zero exit)$ secretsweep scan .
[HIGH ] SEC-001 example finding (./src/app.py)
[MEDIUM ] SEC-002 another signal (./config.yaml)
2 findings · risk score 5 · 38ms
flowchart LR
IN[target / manifest] --> P[secretsweep<br/>checks + rules]
P --> OUT[findings (JSON / SARIF)]
secretsweep is interoperable with every popular way of using AI:
- MCP server —
secretsweep mcp(Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet) - OpenAI-compatible / JSON — pipe
secretsweep scan . --format jsoninto any agent or LLM - LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
- CI / scripts — exit codes + SARIF for non-AI pipelines
| Cognis secretsweep | trufflesecurity | |
|---|---|---|
| Self-hostable, no account | ✅ | varies |
| Single command, zero config | ✅ | |
| JSON + SARIF for CI | ✅ | varies |
| MCP-native (AI agents) | ✅ | ❌ |
| Polyglot ports (JS/Go/Rust) | ✅ | ❌ |
| Open license | ✅ COCL | varies |
Built in the spirit of trufflesecurity/trufflehog, re-framed the Cognis way. Missing a credit? Open a PR.
Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (secretsweep mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.
pip install "git+https://github.com/cognis-digital/secretsweep.git" # pip (works today)
pipx install "git+https://github.com/cognis-digital/secretsweep.git" # isolated CLI
uv tool install "git+https://github.com/cognis-digital/secretsweep.git" # uv
pip install cognis-secretsweep # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/secretsweep:latest --help # Docker
brew install cognis-digital/tap/secretsweep # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/secretsweep/main/install.sh | sh| Linux | macOS | Windows | Docker | Cloud |
|---|---|---|---|---|
scripts/setup-linux.sh |
scripts/setup-macos.sh |
scripts/setup-windows.ps1 |
docker run ghcr.io/cognis-digital/secretsweep |
DEPLOY.md (AWS/Azure/GCP/k8s) |
depgraph— Dependency risk visualizer — Scorecard + OSV + typosquat + maintainer signalspipewatch-pro— CI/CD supply-chain auditor — GH Actions / GitLab CI / OWASP CI/CD Top 10ossaudit— OSS license compliance auditor — AGPL contamination + NOTICE generation
Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram
PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.
{} composes with the 300+ tool Cognis suite — JSON in/out and a shared
OpenAI-compatible /v1 backbone. See INTEROP.md for the
suite map, composition patterns, and reference stacks.
Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license (licensing@cognis.digital). See LICENSE.