Octoscan
Octoscan is a static vulnerability scanner for GitHub action workflows.
Install / Use
/learn @synacktiv/OctoscanREADME
Table of Contents
Installation
$ go mod tidy
$ go build
Or with docker:
$ docker pull ghcr.io/synacktiv/octoscan:latest
Usage
download remote workflows
Octoscan can be run against a local git repository or you can download all the workflows with the dl action:
$ octoscan dl -h
Octoscan.
Usage:
octoscan dl [options] --org <org> [--repo <repo> --token <pat> --default-branch --max-branches <num> --path <path> --output-dir <dir> --include-archives]
Options:
-h, --help Show help
-d, --debug Debug output
--verbose Verbose output
--org <org> Organizations to target
--repo <repo> Repository to target
--token <pat> GHP to authenticate to GitHub
--default-branch Only download workflows from the default branch
--max-branches <num> Limit the number of branches to download
--path <path> GitHub file path to download [default: .github/workflows]
--output-dir <dir> Output dir where to download files [default: octoscan-output]
--include-archives Also download archived repositories
./octoscan dl --token ghp_<token> --org apache --repo incubator-answer
analyze
If you don't know what to run just run this:
./octoscan scan path/to/repos/ --disable-rules shellcheck,local-action --filter-triggers external
It will reduce false positives and give the most interesting results.
If you have downloaded the workflows with the dl command you might have duplicated workflows since by default octoscan will download all the workflows of all the branches. To delete duplicated workflows and speed up the analysis you can use the fdupes command before running the analysis:
fdupes -n -r -N -d path/to/repo
$ octoscan scan -h
octoscan
Usage:
octoscan scan [options] --list-rules
octoscan scan [options] <target>
octoscan scan [options] <target> [--debug-rules --filter-triggers=<triggers> --filter-run --ignore=<pattern> ((--disable-rules | --enable-rules ) <rules>) --config-file <config>]
Options:
-h, --help
-v, --version
-d, --debug
--verbose
--format <format> Output format, json, sarif or custom template to format error messages in Go template syntax. See https://github.com/rhysd/actionlint/tree/main/docs/usage.md#format
--oneline Use one line per one error. Useful for reading error messages from programs
Args:
<target> Target File or directory to scan
--filter-triggers <triggers> Scan workflows with specific triggers (comma separated list: "push,pull_request_target" or pre-configured: external/allnopr)
--filter-run Search for expression injection only in run shell scripts.
--ignore <pattern> Regular expression matching to error messages you want to ignore.
--disable-rules <rules> Disable specific rules. Split on ","
--enable-rules <rules> Enable specific rules, this will disable all other rules. Split on ","
--debug-rules Enable debug rules.
--config-file <config> Config file.
Examples:
$ octoscan scan ci.yml --disable-rules shellcheck,local-action --filter-triggers external
GitHub action
This tool can also be used directly as a GitHub action to scan your repository on push/pull_request events. For more information please check this repository.
Rules
The complete list of rules can be found with this command:
$ octoscan scan --list-rules
2024/08/07 16:50:48 [INFO] Available rules
- shellcheck
Checks for shell script sources in "run:" using shellcheck
- credentials
Checks for credentials in "services:" configuration
- dangerous-action
Check for dangerous actions.
- dangerous-checkout
Check for dangerous checkout.
- expression-injection
Check for expression injection.
- dangerous-write
Check for dangerous write operation on $GITHUB_OUTPUT or $GITHUB_ENV.
- local-action
Check for local actions.
- runner-label
Checks for GitHub-hosted and preset self-hosted runner labels in "runs-on:"
- unsecure-commands
Check 'ACTIONS_ALLOW_UNSECURE_COMMANDS' env variable.
- known-vulnerability
Check for known vulnerabilities.
- bot-check
Check for if statements that are based on a bot identity.
- dangerous-artefact
Check for workflow that upload artefacts containing sensitive files.
- debug-external-trigger
Check for workflow that can be externally triggered.
- debug-artefacts
Check for workflow that upload artefacts.
- debug-js-exec
Check for workflow that execute system commands in JS scripts.
- debug-oidc-action
Check for OIDC actions.
- repo-jacking
Verify that external actions are pointing to a valid GitHub user or organization.
dangerous-checkout
Triggers like workflow_run or pull_request_target run in a privileged context, as they have read access to secrets and potentially have write access on the targeted repository. Performing an explicit checkout on the untrusted code will result in the attacker code being downloaded in such context.

examples
dangerous-action
This rules warn the user if a dangerous action is used. It's mainly focused on untrusted artifacts.
It is common practice to use artifacts to pass data between different workflows. We often encounter this with the workflow_run trigger where the triggering workflow will prepare some data that will then be sent to the triggered workflow. Given the untrusted nature of this artifact data, it is crucial to treat it with caution and recognize it as a potential threat. The vulnerability arises from the fact that external entities, such as malicious actors, can influence the content of the artifact data.

examples
dangerous-write
GitHub will create default environment variables that can be used inside every step in a workflow. The GITHUB_ENV and GITHUB_OUTPUT variables are particularly interesting. It is possible to define environment variable in a step and to use this variable in another one. This can be done by writing it to the associated variable variable. If a user can control the content of the variable that is being set it can lead to arbitrary code execution.

examples
expression-injection
Each workflow trigger comes with an associated GitHub context, offering comprehensive information about the event that initiated it. This includes details about the user who triggered the event, the branch name, and other relevant contextual information. Certain components of this event data, such as the base repository name, or pull request number, cannot be manipulated or exploited for injection by the user who initiated the event (e.g., in the case of a pull request). This ensures a level of control and security over the information provided by the GitHub context during workflow execution.
However, some elements can be controlled by an attacker and should be sanitized before being used. Here is the list of such elements:
github.event.issue.titlegithub.event.issue.bodygithub.event.pull_request.titlegithub.event.pull_request.body- `github.event.comment.b
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