poutineCreated by BoostSecurity.io, poutine is a security scanner that detects misconfigurations and vulnerabilities in the build pipelines of a repository. It supports parsing CI workflows from GitHub Actions and Gitlab CI/CD. When given an access token with read-level access, poutine can analyze all the repositories of an organization to quickly gain insights into the security posture of the organization's software supply chain.
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See the documentation for a list of rules currently supported by poutine.
poutine?In French, the word "poutine", when not referring to the dish, can be used to mean "messy". Inspired by the complexity and intertwined dependencies of modern open-source projects, poutine reflects both a nod to our Montreal roots and the often messy, complex nature of securing software supply chains.
To install poutine, download the latest release from the releases page and add the binary to your $PATH.
brew install poutine
docker run -e GH_TOKEN ghcr.io/boostsecurityio/poutine:latest
...
jobs:
poutine:
runs-on: ubuntu-latest
permissions:
security-events: write
contents: read
steps:
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
#################################################################################################
- name: poutine - GitHub Actions SAST
uses: boostsecurityio/poutine-action@main # We recommend to use a tagged version and pin it
#################################################################################################
- name: Upload poutine SARIF file
uses: github/codeql-action/upload-sarif@4355270be187e1b672a7a1c7c7bae5afdc1ab94a # v3.24.10
with:
sarif_file: results.sarif
poutine [command] [arguments] [options]
poutine analyze_local .
poutine analyze_repo org/repo --token "$GH_TOKEN"
poutine analyze_org org --token "$GH_TOKEN"
poutine analyze_org my-org/project --token "$GL_TOKEN" --scm gitlab --scm-base-url https://gitlab.example.com
--token SCM access token (required for the commands analyze_repo, analyze_org) (env: GH_TOKEN)
--format Output format (default: pretty, json, sarif)
--ignore-forks Ignore forked repositories in the organization (analyze_org)
--scm SCM platform (default: github, gitlab)
--scm-base-url Base URI of the self-hosted SCM instance
--threads Number of threads to use (default: 2)
--config Path to the configuration file (default: .poutine.yml in the working directory, or .github/poutine.yml)
--skip Add rules to the skip list for the current run (can be specified multiple times)
--verbose Enable debug logging
--fail-on-violation Exit with a non-zero code (10) when violations are found
--disable-version-check Disable the once-per-day check for newer poutine releases (env: POUTINE_DISABLE_VERSION_CHECK, config: disableVersionCheck)
See .poutine.sample.yml for an example configuration file.
By default, poutine reaches out at most once every 24 hours to check whether a newer release is available. The request reports the current poutine version, an anonymous instance identifier persisted in ~/.poutine/config.yaml, and a count of CLI invocations since the last check. No source, repository, or finding data is sent. To disable, use any of:
--disable-version-check flagPOUTINE_DISABLE_VERSION_CHECK=1 environment variabledisableVersionCheck: true in .poutine.ymlpoutine supports custom Rego rules to extend its security scanning capabilities. You can write your own rules and include them at runtime.
Create a .poutine.yml configuration file in your current working directory, or keep it alongside your other GitHub metadata at .github/poutine.yml — both are auto-discovered. When both exist, .poutine.yml at the repo root wins. To use a custom path, pass the --config flag (which takes precedence over both):
poutine analyze_local . --config my-config.yml
In your configuration file, specify the path(s) to your custom rules using the include directive:
include:
- path: ./custom_rules
- path: ./github_actions
Custom Rego rules must:
1. Be saved as *.rego files in the included directory
2. Follow the package naming convention: package rules.<rule_name>
3. Define a rule variable with metadata
4. Define a results set containing findings
Example custom rule:
package rules.custom_injection
import data.poutine
import rego.v1
# METADATA
# title: Custom Injection Detection
# description: Detects potential injection vulnerabilities in workflows
# custom:
# level: warning
rule := poutine.rule(rego.metadata.chain())
# Define pattern to detect (properly escaped for Rego)
patterns.github contains `\\$\\{\\{[^\\}]+\\}\\}`
results contains poutine.finding(rule, pkg.purl, {
"path": workflow.path,
"line": step.lines.run,
"job": job.id,
"step": i,
"details": "Potential injection found in step",
}) if {
pkg := input.packages[_]
workflow := pkg.github_actions_workflows[_]
job := workflow.jobs[_]
step := job.steps[i]
step.run # Ensure step has a run command
regex.match(patterns.github[_], step.run)
}
Key points:
- Use import data.poutine and import rego.v1 for modern Rego syntax and poutine utilities
- Use rule := poutine.rule(rego.metadata.chain()) to extract metadata from METADATA comments
- The package name determines the rule identifier (e.g., package rules.custom_injection → rule ID: custom_injection)
- Add METADATA comments to describe the rule with title, description, and level
- Set the severity level to note, warning, or error
- Use poutine.finding(rule, pkg.purl, {...}) to create findings that match the poutine schema
- The results set should contain findings with fields like path, line, job, step, details
For more examples, see: - poutine-rules repository - External rule examples - Built-in rules in opa/rego/rules/ directory - .poutine.sample.yml - Configuration examples
poutine supports skipping (acknowledging) specific findings that are not relevant in your context. This can be useful when:
- A finding is a false positive
- The security concern has been addressed through other means (e.g., hardened self-hosted runners)
- You've accepted the risk for a particular finding
To acknowledge findings, you can either:
1. Add a skip section to your .poutine.yml configuration file
2. Use the --skip command-line flag (e.g., --skip rule_name) for one-time skipping
Add a skip section to your .poutine.yml configuration file. Each skip rule can filter findings by:
- job: Filter by job name
- level: Filter by severity level (note, warning, error)
- path: Filter by workflow file path
- rule: Filter by rule name
- purl: Filter by package URL
- osv_id: Filter by OSV ID
Example configuration:
skip:
# Skip all note-level findings
- level: note
# Skip findings in a specific workflow
- path: .github/workflows/safe.yml
# Skip a specific rule everywhere
- rule: unpinnable_action
# Skip a rule for specific workflows
- rule: pr_runs_on_self_hosted
path:
- .github/workflows/pr.yml
- .github/workflows/deploy.yml
# Skip findings for specific packages
- rule: github_action_from_unverified_creator_used
purl:
- pkg:githubactions/dorny/paths-filter
For more examples, see .poutine.sample.yml.
You can also skip rules on the command line using the --skip flag. Note that the command-line flag only supports skipping rules by name globally and does not support the granular filtering options (job, path, level, etc.) available in the configuration file.
# Skip a single rule globally
poutine analyze_repo org/repo --skip unpinnable_action
# Skip multiple rules globally
poutine analyze_repo org/repo --skip unpinnable_action --skip pr_runs_on_self_hosted
This is useful for one-time analysis or when you want to temporarily ignore specific rules without modifying your configuration file. For more granular control (e.g., skipping a rule only in specific workflows), use the configuration file instead.
poutine can be integrated with AI coding assistants like Claude Code, Gemini, etc. through the Model Context Protocol (MCP). This allows AI assistants to analyze repositories and validate CI/CD pipelines directly from your development environment.
For detailed setup instructions for your specific AI coding tool, see the MCP Integration Guide.
Building poutine requires Go 1.26+.
git clone https://github.com/boostsecurityio/poutine.git
cd poutine
make build
go test -tags build_platform_vuln_database ./...
opa fmt -w opa/rego/external/build_platform.rego
For examples of vulnerabilities in GitHub Actions workflows, you can explore the Messy poutine GitHub organization. It showcases real-world vulnerabilities from open-source projects readily exploitable for educational purposes.
To get started with some hints, try using poutine to analyze the messypoutine organization:
poutine analyze_org messypoutine --token `gh auth token`
You may submit the flags you find in a private vulnerability disclosure.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
$ claude mcp add poutine \
-- python -m otcore.mcp_server <graph>