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docs: add a tutorial for malware detection check #816
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Signed-off-by: behnazh-w <[email protected]>
Signed-off-by: behnazh-w <[email protected]>
Signed-off-by: behnazh-w <[email protected]>
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tests/integration/cases/django_with_dep_resolution_virtual_env_as_input/policy-all-pypi.dl
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tests/integration/cases/django_with_dep_resolution_virtual_env_as_input/test.yaml
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tromai
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I have finished my first round of review.
src/macaron/slsa_analyzer/checks/detect_malicious_metadata_check.py
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Signed-off-by: behnazh-w <[email protected]>
Signed-off-by: behnazh-w <[email protected]>
Signed-off-by: behnazh-w <[email protected]>
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I have added two more subsections for the generated VSA and an example usage of confidence score in the policy: 925a5a4 |
Signed-off-by: behnazh-w <[email protected]>
tromai
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LGTM. Thanks!
Signed-off-by: behnazh-w <[email protected]>
This PR adds a new tutorial to showcase the mcn_detect_malicious_metadata_1 check and adjust a corresponding integration check to make sure the examples in the tutorial are continuously tested.
It also improves the Using Macaron page to encourage users analyzing an artifact using -purl over a repository, and enhances the configuration instructions.
It adds two new helper relations for policies that let users add constraint for the confidence score of a check result:
- check_passed_with_confidence
- check_failed_with_confidence
Finally, it improves the rendering of justification column in the HTML report when the presented data is a dictionary.
Signed-off-by: behnazh-w <[email protected]>
This PR adds a new tutorial to showcase the
mcn_detect_malicious_metadata_1check and adjust a corresponding integration check to make sure the examples in the tutorial are continuously tested.It also improves the
Using Macaronpage to encourage users analyzing an artifact using-purlover a repository, and enhances the configuration instructions.It adds two new helper relations for policies that let users add constraint for the confidence score of a check result:
check_passed_with_confidencecheck_failed_with_confidenceFinally, it improves the rendering of justification column in the HTML report when the presented data is a dictionary.