Spectra Assure
Community
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failIncident: Removal
Scanned: 12 days ago

pytest-ruff

Artifact:
pytest plugin to check ruff requirements.
License: unknown
Published: about 2 years ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
1 components prone to hijacking
Malware
No evidence of malware inclusion

INCIDENTS:

removal
Reported By: Community

Popularity

2.97M
Total Downloads
Contributor
Declared Dependencies
184
Dependents

Top issues

Problem

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. Open source projects are the intellectual property of their respective authors. At any time, the authors may choose to completely remove the software component from a public repository. This often occurs when a software project reaches its end-of-life stage, or when the software authors lose interest in maintaining the project. This kind of removal frees up the software package name, its unique software identifier in the public repository, for other developers to use. However, new software project owners might have malicious intent. Threat actors are continuously monitoring popular package names in case their unique identifiers suddenly become available for hijacking. Once the software projects falls under new ownership, the new maintainers may opt to use the project popularity to spread malware to unsuspecting users.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Inspect behaviors exhibited by the detected software components.
If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.
Revise the use of components that raise these alarms. If you can't deprecate those components, make sure that their versions are pinned.
Avoid using this software package until it is vetted as safe.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
508 packages
found in
Top 1k
3570 packages
found in
Top 10k
165477 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
57 packages
found in
Top 100
456 packages
found in
Top 1k
3002 packages
found in
Top 10k
132844 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
96 packages
found in
Top 100
793 packages
found in
Top 1k
6531 packages
found in
Top 10k
391347 packages
in community

Top vulnerabilities

No vulnerabilities found.