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📖 Review and update some probe documentation (#4023)
* polish some probe yaml definitions Signed-off-by: Spencer Schrock <sschrock@google.com> * update references to probe naming and outcomes now that #3654 is addressed, the naming restrictions can be relaxed. Signed-off-by: Spencer Schrock <sschrock@google.com> --------- Signed-off-by: Spencer Schrock <sschrock@google.com>
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@ -1,22 +1,24 @@
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# Scorecard probes
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# OpenSSF Scorecard Probes
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This directory contains all the Scorecard probes.
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This directory contains all the Scorecard probes. Each probe has its own subdirectory.
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A probe is an assessment of a focused, specific heuristic typically isolated to a particular ecosystem. For example, Scorecards fuzzing check consists of many different probes that assess particular ecosystems or aspects of fuzzing.
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A probe is an individual heuristic, which provides information about a distinct behavior a project under analysis may or may not be doing.
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The probes follow a camelcase naming convention that describe the exact heuristic a particular probe assesses.
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The name should be phrased in a way that can be answered by "true" or "false".
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Each probe has its own directory in `scorecard/probes`. The probes follow a camelcase naming convention that describe the exact heuristic a particular probe assesses.
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Probes can return multiple or a single finding, where a finding is a piece of data with an outcome, message, and optionally a location. Probes should be designed in such a way that a `finding.OutcomePositive` reflects a positive result, and `finding.OutcomeNegative` reflects a negative result. Scorecard has other `finding.Outcome` types available for other results; For example, the `finding.OutcomeNotAvailable` is often used for scenarios, where Scorecard cannot assess a project with a given probe. In addition, probes should also be named in such a way that they answer "yes" or "no", and where "yes" answers positively to the heuristic, and "no" answers negatively. For example, probes that check for SAST tools in the CI are called `toolXXXInstalled` so that `finding.OutcomePositive` reflects that it is positive to use the given tool, and that "yes" reflects what Scorecard considers the positive outcome. For some probes, this can be a bit trickier to do; The `notArchived` probe checks whether a project is archived, however, Scorecard considers archived projects to be negative, and the probe cannot be called `isArchived`. These naming conventions are not hard rules but merely guidelines. Note that probes do not do any formal evaluation such a scoring; This is left to the evaluation part once the outcomes have been produced by the probes.
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Probes can return one or more findings, where a finding is a piece of data with an outcome, message, and optionally a location where the behavior was observed.
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The primary outcomes are `finding.OutcomeTrue` and `finding.OutcomeFalse`, but other outcomes are available as well.
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For example, the `finding.OutcomeNotAvailable` is often used for scenarios, where Scorecard cannot assess a behavior because there is no data to analyze.
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A probe consists of three files:
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- `def.yml`: The documentation of the probe.
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- `impl.go`: The actual implementation of the probe.
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- `impl_test.go`: The probes test.
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- `impl_test.go`: The probe's test.
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## Reusing code in probes
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When multiple probes use the same code, the reused code can be placed on `scorecard/probes/internal/utils`
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When multiple probes use the same code, the reused code can be placed in a package under `probes/internal/`
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## How do I know which probes to add?
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@ -39,7 +41,7 @@ And then in `impl.go` add the following metadata:
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```golang
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f, err := finding.NewWith(fs, Probe,
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"Message", nil,
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finding.OutcomePositive)
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finding.OutcomeTrue)
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f = f.WithRemediationMetadata(map[string]string{
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"dataToDisplay": "this is the text we will display",
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})
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@ -55,7 +57,7 @@ and the probe sets the following metadata:
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```golang
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f, err := finding.NewWith(fs, Probe,
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"Message", nil,
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finding.OutcomePositive)
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finding.OutcomeTrue)
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f = f.WithRemediationMetadata(map[string]string{
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"oss-fuzz-integration-status": "is",
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})
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@ -15,7 +15,7 @@
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id: archived
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short: Check that the project is archived
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motivation: >
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A project which is not active might not be patched, have its dependencies patched, or be actively tested and used. However, a lack of active maintenance is not necessarily always a problem. Some software, especially smaller utility functions, does not normally need to be maintained. For example, a library that determines if an integer is even would not normally need maintenance unless an underlying implementation language definition changed. A lack of active maintenance should signal that potential users should investigate further to judge the situation.
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An archived project will not received security patches, and is not actively tested or used.
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implementation: >
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The probe checks the Archived Status of a project.
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outcome:
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@ -15,7 +15,7 @@
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id: blocksForcePushOnBranches
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short: Check that the project blocks force push on its branches.
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motivation: >
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Allowing non-admins to force push to branches could allow untrusted users to make insecure changes to the behavior of the project.
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Allowing force pushes to branches could allow those with write access to make insecure changes to the behavior of the project.
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implementation: >
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Checks the protection rules of default and release branches.
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outcome:
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@ -13,9 +13,9 @@
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# limitations under the License.
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id: branchProtectionAppliesToAdmins
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short: Check that the projects branch protection rules apply to project admins.
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short: Check that the project's branch protection rules apply to project admins.
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motivation: >
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Admins can make malicious code changes that users will be unaware of (see CVE-2022-23812); consuming software where this is disabled is encouraged.
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Admins may be able to bypass branch protection settings which could defeat the purpose of having them.
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implementation: >
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Checks the protection rules of default and release branches.
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outcome:
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# limitations under the License.
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id: branchesAreProtected
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short: Check that the projects branches are protected.
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short: Check that the project uses protected branches.
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motivation: >
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Branches that are not protected may allow excessive actions that could compromise the projects security.
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Unprotected branches may allow actions that could compromise the project's security.
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implementation: >
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Checks the protection rules of default and release branches.
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outcome:
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@ -25,7 +25,7 @@ remediation:
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effort: Low
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text:
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- For Gitlab-hosted project, follow the documentation on how to protect branches, https://docs.gitlab.com/ee/user/project/protected_branches.html
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- For GitHub-hosted projects, follow [the documentation on protected branches, https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/managing-protected-branches/about-protected-branches
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- For GitHub-hosted projects, follow the documentation on protected branches, https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/managing-protected-branches/about-protected-branches
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markdown:
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- For Gitlab-hosted project, follow [the documentation on how to protect branches](https://docs.gitlab.com/ee/user/project/protected_branches.html)
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- For GitHub-hosted projects, follow [the documentation on protected branches](https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/managing-protected-branches/about-protected-branches)
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id: contributorsFromOrgOrCompany
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short: Checks whether a project has a contributions from users associated with a company or organization.
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motivation: >
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This probe tries to determine if the project has recent contributors from multiple organizations (e.g., companies).
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Some projects cannot meet this requirement, such as small projects with only one active participant, or projects with a narrow scope that cannot attract the interest of multiple organizations. See Code Reviews for more information about evaluating projects with a small number of participants.
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This probe tries to determine if the project has recent contributors from multiple organizations.
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For some projects, having a diverse group of contributors is an indicator of project health.
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implementation: >
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The probe looks at the Company field on the user profile for authors of recent commits. To receive the highest score, the project must have had contributors from at least 3 different companies in the last 30 commits.
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The probe looks at the Company field on the user profile for authors of recent commits.
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To receive the highest score, the project must have had contributors from at least 3 different companies in the last 30 commits.
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outcome:
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- If the project has no contributing organizations or companies, the probe returns 1 OutcomeFalse
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- If the project has contributing organizations or companies, the probe returns 1 Outcome per org or company.
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- If the probe fails to process the raw results, it returns nil instead of the findings slice as well as an error.
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- If the project has no contributing organizations, the probe returns 1 OutcomeFalse
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- If the project has contributing organizations, the probe returns 1 OutcomeTrue per organization.
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remediation:
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onOutcome: False
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effort: High
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text:
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- Encourage community-driven contributions to your project.
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- Ask contributors to join their respective organizations, if they have not already. Otherwise, there is no remediation for this probe; it simply provides insight into how many organizations have contributed so that you can make a trust-based decision based on that information.
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- Ask contributors to join their respective organizations, if they have not already.
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- Otherwise, there is no remediation for this probe; it simply provides insight into how many organizations have contributed so that you can make a trust-based decision based on that information.
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ecosystem:
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languages:
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- all
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clients:
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- github
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- gitlab
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- gitlab
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id: createdRecently
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short: Checks if the project was created in the last 90 days.
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motivation: >
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When Scorecard checks the activity of a project in the last 90 days, the project may not have been created before the last 90 days. As such, Scorecard cannot give an accurate score. This probe helps Scorecard assess whether it can give an accurate score when checking the project activity in the last 90 days.
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Recently created repositories have been used for malicious forks / typosquatting attacks in the past.
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A newly created repo is not a strong signal on its own, but can be a useful piece of information.
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implementation: >
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The implementation checks the creation date is within the last 90 days.
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outcome:
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@ -16,7 +16,7 @@ id: dependencyUpdateToolConfigured
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short: Check that a dependency update tool config is present.
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motivation: >
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Out-of-date dependencies make a project vulnerable to known flaws and prone to attacks.
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Tools can automate the process of updating dependencies by scanning for outdated or insecure requirements, and opening a pull request to update them if found.
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Tools can help the process of updating dependencies by scanning for outdated or insecure requirements, and opening a pull request to update them if found.
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implementation: >
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The implementation looks for the presence of various config files for different dependency update tools.
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outcome:
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@ -31,6 +31,7 @@ remediation:
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- Setup one of [tools we currently detect](https://github.com/ossf/scorecard/blob/main/docs/checks/dependencyupdatetool/README.md).
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ecosystem:
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languages:
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- c#
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- dockerfile
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- go
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- java
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@ -39,6 +40,9 @@ ecosystem:
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- python
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- ruby
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- rust
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- scala
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- swift
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- typescript
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clients:
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- github
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- gitlab
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id: dismissesStaleReviews
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short: Check that the project dismisses stale reviews when new commits are pushed.
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motivation: >
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When a project does not dismiss stale reviews, contributors can bring their pull requests to an approved state and then make malicious commits.
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When a project does not dismiss stale reviews, contributors can bring their pull requests to an approved state and then make unreviewed commits.
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implementation: >
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Checks the protection rules of default and release branches.
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outcome:
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id: hasBinaryArtifacts
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short: Checks if the project has any binary files in its source tree.
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motivation: >
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Binary files are not readable so users can't see what they do. Many programming language systems can generate executables from source code (e.g., C/C++ generated machine code, Java .class files, Python .pyc files, and minified JavaScript). Users will often directly use executables if they are included in the source repository, leading to many dangerous behaviors.
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Binary files are not human readable so users and reviewers can't easily see what they do.
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implementation: >
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The implementation looks for the presence of binary files. This is a more restrictive probe than "hasUnverifiedBinaryArtifacts" which excludes verified binary files.
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outcome:
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- If the probe finds binary files, it returns a number of true outcomes equal to the number of binary files found. Each outcome includes a location of the file.
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- If the probe finds no binary files, it returns a single false outcome.
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- If the probe finds binary files, it returns one OutcomeTrue for each binary file found.
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- If the probe finds no binary files, it returns a single OutcomeFalse.
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remediation:
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onOutcome: True
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effort: Medium
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@ -33,3 +33,4 @@ ecosystem:
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clients:
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- github
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- gitlab
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- localdir
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id: hasDangerousWorkflowScriptInjection
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short: Check whether the project has GitHub Actions workflows that enable script injection.
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motivation: >
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Script Injection with Untrusted Context Variables: This pattern detects whether a workflow's inline script may execute untrusted input from attackers. This occurs when an attacker adds malicious commands and scripts to a context. When a workflow runs, these strings may be interpreted as code that is executed on the runner. Attackers can add their own content to certain github context variables that are considered untrusted, for example, github.event.issue.title. These values should not flow directly into executable code.
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Script injections allow attackers to use untrusted input to access privileged resources (code execution, secret exfiltration, etc.)
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implementation: >
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The probe iterates through the workflows from the raw results and checks the workflow type. If it finds a workflow of the type `DangerousWorkflowScriptInjection`, it returns.
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The probe analyzes the repository's workflows for known dangerous patterns.
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outcome:
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- If the project has at least one workflow with possibility of script injection, the probe returns one finding with OutcomeTrue.
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- If the project does not have a single workflow with possibility of script injection, the probe returns one finding with OutcomeFalse.
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- The probe returns one finding with OutcomeTrue for each dangerous script injection pattern detected.
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- If no dangerous patterns are found, the probe returns one finding with OutcomeFalse.
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remediation:
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onOutcome: True
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effort: Low
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text:
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- Avoid the dangerous workflow patterns.
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markdown:
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- Avoid the dangerous workflow patterns. See [this post](https://securitylab.github.com/research/github-actions-preventing-pwn-requests/) for information on avoiding untrusted code checkouts. See [this document](https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#understanding-the-risk-of-script-injections) for information on avoiding and mitigating the risk of script injections.
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- Avoid the dangerous workflow patterns.
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- See [this document](https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#understanding-the-risk-of-script-injections) for information on avoiding and mitigating the risk of script injections.
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ecosystem:
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languages:
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- all
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id: hasDangerousWorkflowUntrustedCheckout
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short: Check whether the project has GitHub Actions workflows that does untrusted checkouts.
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motivation: >
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Untrusted Code Checkout: This is the misuse of potentially dangerous triggers. This checks if a pull_request_target or workflow_run workflow trigger was used in conjunction with an explicit pull request checkout. Workflows triggered with pull_request_target / workflow_run have write permission to the target repository and access to target repository secrets. With the PR checkout, PR authors may compromise the repository, for example, by using build scripts controlled by the author of the PR or reading token in memory. This check does not detect whether untrusted code checkouts are used safely, for example, only on pull request that have been assigned a label.
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GitHub workflows triggered with pull_request_target or workflow_run have write permission to the target repository and access to target repository secrets.
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Combined with a dangerous checkout of PR contents, attackers may be able to compromise the repository, for example, by using build scripts controlled by the PR author.
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implementation: >
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The probe iterates through the workflows from the raw results and checks the workflow type. If it finds a workflow of the type `DangerousWorkflowUntrustedCheckout`, it returns.
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The probe iterates through the workflows looking for pull_request_target and workflow_run triggers which checkout references from a PR.
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This check does not detect whether untrusted code checkouts are used safely, for example, only on pull request that have been assigned a label.
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outcome:
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- If the project has at least one workflow with possibility of untrusted code checkout, the probe returns one finding with OutcomeTrue.
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- If the project does not have a single workflow with possibility of untrusted code checkout, the probe returns one finding with OutcomeFalse.
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- The probe returns one finding with OutcomeTrue per untrusted checkout.
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- The probe returns one finding with OutcomeFalse if no untrusted checkouts are detected.
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remediation:
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onOutcome: True
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effort: Low
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text:
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- Avoid the dangerous workflow patterns.
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markdown:
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- Avoid the dangerous workflow patterns. See [this post](https://securitylab.github.com/research/github-actions-preventing-pwn-requests/) for information on avoiding untrusted code checkouts. See [this document](https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#understanding-the-risk-of-script-injections) for information on avoiding and mitigating the risk of script injections.
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- Avoid the dangerous workflow patterns.
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- See [this post](https://securitylab.github.com/research/github-actions-preventing-pwn-requests/) for information on avoiding untrusted code checkouts.
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ecosystem:
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languages:
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- all
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# limitations under the License.
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id: hasFSFOrOSIApprovedLicense
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short: Check that the project has an FSF or OSI approved license. For more, see [all FSF or OSI approved license formats](https://spdx.org/licenses/).
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short: Check that the project has an FSF or OSI approved license.
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motivation: >
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A license can give users information about how the source code may or may not be used. The lack of a license will impede any kind of security review or audit and creates a legal risk for potential users.
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A license can give users information about how the source code may or may not be used.
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Using a recognized license facilitates security or legal reviews for potential users.
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implementation: >
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The implementation checks whether a license file is present and is of an approved format
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The implementation checks whether a license file is present and is of an approved format.
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The list of FSF or OSI approved license is taken from https://spdx.org/licenses/ .
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outcome:
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- If a license file is found and is of an approved format, the probe returns a single OutcomeTrue.
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- If a license file is missing the probe returns a single OutcomeNotApplicable.
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id: hasLicenseFile
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short: Check that the project has a license file
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motivation: >
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A license can give users information about how the source code may or may not be used. The lack of a license will impede any kind of security review or audit and creates a legal risk for potential users.
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A license can give users information about how the source code may or may not be used.
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The lack of a license will impede any kind of security review or audit and creates a legal risk for potential users.
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implementation: >
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The implementation checks whether a license file is present.
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The implementation checks whether a license file is present.
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outcome:
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- If license files are found, the probe returns OutcomeTrue for each license file.
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- If a license file is not found, the probe returns a single OutcomeFalse.
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id: hasOSVVulnerabilities
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short: Check whether the project has known vulnerabilities
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motivation: >
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This check determines whether the project has open, unfixed vulnerabilities in its own codebase or its dependencies using the OSV (Open Source Vulnerabilities) service. An open vulnerability may be exploited by attackers and should be fixed as soon as possible.
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This check determines whether the project has open, unfixed vulnerabilities in its own codebase or its dependencies using the OSV (Open Source Vulnerabilities) service.
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An open vulnerability may be exploited by attackers and should be fixed as soon as possible.
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implementation: >
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The implementation fetches data from OSV.dev about the project which shows whether a given project has known, unfixed vulnerabilities. The implementation uses the number of known, unfixed vulnerabilities to score.
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The implementation fetches data from OSV.dev about the project which shows whether a given project has known, unfixed vulnerabilities.
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The implementation uses the number of known, unfixed vulnerabilities to score.
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outcome:
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- The probe returns one true outcome for each vulnerability found in OSV.
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- If there are no known vulnerabilities from the raw results, the probe returns one false outcome.
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- If there are no known vulnerabilities detected, the probe returns one false outcome.
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remediation:
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onOutcome: True
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effort: High
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@ -17,15 +17,15 @@ short: This check determines whether the project has an OpenSSF (formerly CII) B
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motivation: >
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The OpenSSF Best Practices badge indicates whether or not the project uses a set of security-focused best development practices for open source software.
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implementation: >
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The probe checks the type of the badge from the raw results.
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The probe checks the badge level using the OpenSSF Best Practices Badge API.
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outcome:
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- If the project has a badge, the probe returns one OutcomeTrue (1). The finding includes an entry in the `Values` map with the key describing the badge level.
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- If the project does not have a badge, the probe returns one OutcomeFalse (0).
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- If the project has a badge, the probe returns one OutcomeTrue finding. The finding includes the badge level as an entry in the `Values` map with the "badgeLevel" key.
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- If the project does not have a badge, the probe returns one OutcomeFalse.
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remediation:
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onOutcome: False
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effort: High
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text:
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- Learn about best practices by following [the OpenSSF Best Practices Badge criteria](https://www.bestpractices.dev/en/criteria/0).
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- Learn about best practices by following the OpenSSF Best Practices Badge criteria at https://www.bestpractices.dev/en/criteria/0 .
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markdown:
|
||||
- Learn about best practices by following [the OpenSSF Best Practices Badge criteria](https://www.bestpractices.dev/en/criteria/0).
|
||||
ecosystem:
|
||||
|
@ -15,7 +15,9 @@
|
||||
id: hasRecentCommits
|
||||
short: Check whether the project has at least one commit per week over the last 90 days.
|
||||
motivation: >
|
||||
A project which is not active might not be patched, have its dependencies patched, or be actively tested and used. However, a lack of active maintenance is not necessarily always a problem. Some software, especially smaller utility functions, does not normally need to be maintained. For example, a library that determines if an integer is even would not normally need maintenance unless an underlying implementation language definition changed. A lack of active maintenance should signal that potential users should investigate further to judge the situation. A project may not need further features or maintenance; In this case, the probe results can be disregarded.
|
||||
A project which is not active might not be patched, have its dependencies patched, or be actively tested and used.
|
||||
A lack of active maintenance should signal that potential users should investigate further to judge the situation.
|
||||
A project may not need further features or maintenance; In this case, the probe results can be disregarded.
|
||||
implementation: >
|
||||
The implementation checks the number of commits made in the last 90 days by any user type.
|
||||
outcome:
|
||||
@ -31,4 +33,4 @@ ecosystem:
|
||||
- all
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- gitlab
|
||||
|
@ -15,12 +15,14 @@
|
||||
id: hasUnverifiedBinaryArtifacts
|
||||
short: Checks if the project has binary files in its source tree. The probe skips verified binary files which currently are gradle-wrappers.
|
||||
motivation: >
|
||||
Binary files are not readable so users can't see what they do. Many programming language systems can generate executables from source code (e.g., C/C++ generated machine code, Java .class files, Python .pyc files, and minified JavaScript). Users will often directly use executables if they are included in the source repository, leading to many dangerous behaviors.
|
||||
Binary files are not human readable so users and reviewers can't easily see what they do.
|
||||
implementation: >
|
||||
The implementation looks for the presence of binary files that are not "verified". A verified binary is one that Scorecard considers valid for building and/or releasing the project. This is a more permissive probe than "hasBinaryArtifacts" which does not skip verified binary files.
|
||||
The implementation looks for the presence of binary files that are not "verified".
|
||||
A verified binary is one that Scorecard considers valid for building and/or releasing the project.
|
||||
This is a more permissive probe than "hasBinaryArtifacts" which does not skip verified binary files.
|
||||
outcome:
|
||||
- If the probe finds unverified binary files, it returns a number of true outcomes equal to the number of unverified binary files found. Each outcome includes a location of the file.
|
||||
- If the probe finds no unverified binary files, it returns a single false outcome.
|
||||
- If the probe finds unverified binary files, it returns OutcomeTrue for each unverified binary file found.
|
||||
- If the probe finds no unverified binary files, it returns OutcomeFalse.
|
||||
remediation:
|
||||
onOutcome: True
|
||||
effort: Medium
|
||||
|
@ -15,7 +15,9 @@
|
||||
id: issueActivityByProjectMember
|
||||
short: Checks that a collaborator, member or owner has participated in issues in the last 90 days.
|
||||
motivation: >
|
||||
A project which is not active might not be patched, have its dependencies patched, or be actively tested and used. However, a lack of active maintenance is not necessarily always a problem. Some software, especially smaller utility functions, does not normally need to be maintained. For example, a library that determines if an integer is even would not normally need maintenance unless an underlying implementation language definition changed. A lack of active maintenance should signal that potential users should investigate further to judge the situation.
|
||||
A project which does not respond to issues may not be actively maintained.
|
||||
A lack of active maintenance should signal that potential users should investigate further to judge the situation.
|
||||
However a project may simply not have any recent issues; In this case, the probe results can be disregarded.
|
||||
implementation: >
|
||||
The probe checks whether collaborators, members or owners of a project have participated in issues in the last 90 days.
|
||||
outcome:
|
||||
@ -31,4 +33,4 @@ ecosystem:
|
||||
- all
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- gitlab
|
||||
|
@ -15,12 +15,14 @@
|
||||
id: packagedWithAutomatedWorkflow
|
||||
short: Checks whether the project uses automated packaging.
|
||||
motivation: >
|
||||
Packages give users of a project an easy way to download, install, update, and uninstall the software by a package manager. In particular, they make it easy for users to receive security patches as updates.
|
||||
Packages give users of a project an easy way to download, install, update, and uninstall the software by a package manager.
|
||||
In particular, they make it easy for users to receive security patches as updates.
|
||||
implementation: >
|
||||
The implementation checks whether a project uses common patterns for packaging across multiple ecosystems. Scorecard gets this by checking the projects workflows for specific uses of actions and build commands such as `docker push` or `mvn deploy`.
|
||||
The implementation checks whether a project uses common patterns for packaging across multiple ecosystems.
|
||||
Scorecard gets this by checking the projects workflows for specific uses of actions and build commands such as `docker push` or `mvn deploy`.
|
||||
outcome:
|
||||
- If the project has a package without a debug message, the outcome is true.
|
||||
- If the project has a package with a debug message, the outcome is false.
|
||||
- If the project uses a packaging mechanism we detect, the outcome is positive.
|
||||
- If the project doesn't use automated packaing we can detect, the outcome is negative.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Low
|
||||
@ -31,4 +33,4 @@ ecosystem:
|
||||
- all
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- gitlab
|
||||
|
@ -15,7 +15,7 @@
|
||||
id: requiresPRsToChangeCode
|
||||
short: Check that the project requires pull requests to change code.
|
||||
motivation: >
|
||||
Changing code without pull requests does not leave a traceable trail and can allow malicious actors to sneak in vulnerable code.
|
||||
Changing code through pull requests promotes testing and reviews of the suggested change.
|
||||
implementation: >
|
||||
The probe checks which branches require pull requests to change the branches' code. The probe only considers default and release branches.
|
||||
outcome:
|
||||
|
@ -15,13 +15,14 @@
|
||||
id: securityPolicyContainsLinks
|
||||
short: Check that the security policy contains web or email links.
|
||||
motivation: >
|
||||
URLs point users to additional information as well as online disclosure forms. Emails provide a point of contact for vulnerability disclosure.
|
||||
URLs point users to additional information as well as online disclosure forms.
|
||||
Emails provide a point of contact for vulnerability disclosure.
|
||||
implementation: >
|
||||
The implementation looks for strings "http(s)://" to find URLs; and for strings "...@..." for email addresses.
|
||||
outcome:
|
||||
- If links are found, one finding with OutcomeTrue (1) is returned for each file.
|
||||
- If no links are found, one finding with OutcomeFalse (0) is returned for each file.
|
||||
- If no file is found, one finding with OutcomeFalse (0) is returned.
|
||||
- If links are found, one finding with OutcomeTrue is returned for each security policy file.
|
||||
- If no links are found, one finding with OutcomeFalse is returned for each security policy file.
|
||||
- If no security policy files are found, one finding with OutcomeFalse is returned.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Low
|
||||
@ -45,4 +46,4 @@ ecosystem:
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- localdir
|
||||
- localdir
|
||||
|
@ -19,9 +19,9 @@ motivation: >
|
||||
implementation: >
|
||||
The implementation checks that the content of the SECURITY.md contains more than just a link or an email address. It does this by comparing the length of the content to the lengths of the links and email addresses.
|
||||
outcome:
|
||||
- If links are found, one finding with OutcomeTrue (1) is returned for each file.
|
||||
- If no links are found, one finding with OutcomeFalse (0) is returned for each file.
|
||||
- If no file is found, one finding with OutcomeFalse (0) is returned.
|
||||
- If explanatory text is found in a security policy, one finding with OutcomeTrue is returned for each file.
|
||||
- If no additional text is found in a security policy, one finding with OutcomeFalse is returned for each file.
|
||||
- If no security policy is found, one finding with OutcomeFalse is returned.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Low
|
||||
@ -45,4 +45,4 @@ ecosystem:
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- localdir
|
||||
- localdir
|
||||
|
@ -19,9 +19,9 @@ motivation: >
|
||||
implementation: >
|
||||
The implementation looks for strings "Disclos" and "Vuln".
|
||||
outcome:
|
||||
- If information about the disclosure process is found in a security policy file, the probe returns one finding with OutcomeTrue (1) for each file.
|
||||
- If no information about the disclosure process is found, the probe returns one finding with OutcomeFalse (0) for each file.
|
||||
- if no file is present, the probe returns one finding with OutcomeFalse (0).
|
||||
- If information about the disclosure process is found in a security policy file, the probe returns one finding with OutcomeTrue for each file.
|
||||
- If no information about the disclosure process is found, the probe returns one finding with OutcomeFalse for each file.
|
||||
- If no security policy is found, the probe returns one finding with OutcomeFalse.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Low
|
||||
@ -45,4 +45,4 @@ ecosystem:
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- localdir
|
||||
- localdir
|
||||
|
@ -20,8 +20,8 @@ motivation: >
|
||||
implementation: >
|
||||
The implementation looks for the presence of security policy files in the repository or in '<org>/.github' repository. See https://github.com/ossf/scorecard/blob/main/checks/raw/security_policy.go#L139 for a detailed list of filenames.
|
||||
outcome:
|
||||
- If a security policy file is found, one finding with OutcomeTrue (1) is returned.
|
||||
- If no security file is found, one finding with OutcomeFalse (0) is returned.
|
||||
- If a security policy file is found, one finding with OutcomeTrue is returned.
|
||||
- If no security file is found, one finding with OutcomeFalse is returned.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Medium
|
||||
@ -48,4 +48,4 @@ ecosystem:
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- localdir
|
||||
- localdir
|
||||
|
@ -19,8 +19,9 @@ motivation: >
|
||||
implementation: >
|
||||
The probe checks all webhooks of a project and checks whether each uses secret authentication.
|
||||
outcome:
|
||||
- If the project has any webhooks without secret authorization, the probe returns as many OutcomeFalse (0) as the project has webhooks without secret authorization and as many OutcomeTrue as there are webhooks with secret authorization. All findings include the path to the webhook.
|
||||
- If the project does not have any webhooks without secret authorization, the probe returns one OutcomeTrue (1).
|
||||
- The probe returns one OutcomeTrue per webhook with secret authorization.
|
||||
- The probe returns one OutcomeFalse per webhook without secret authorization.
|
||||
- Projects without webhooks receive an OutcomeNotApplicable.
|
||||
remediation:
|
||||
onOutcome: False
|
||||
effort: Low
|
||||
@ -37,4 +38,4 @@ ecosystem:
|
||||
- all
|
||||
clients:
|
||||
- github
|
||||
- gitlab
|
||||
- gitlab
|
||||
|
Loading…
Reference in New Issue
Block a user