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    warningRisk: Hardening
    Scanned: 4 days ago

    Python

    Artifact:
    latest
    key project
    Python language support with extension access points for IntelliSense (Pylance), Debugging (Python Debugger), linting, formatting, refactoring, unit tests, and more.
    License: Permissive (MIT)
    Published: 12 days ago
    Publisher: ms-python
    Visit GitHub
    See on Visual Studio Code

    SAFE Assessment

    Compliance

    Licenses
    No license compliance issues
    Secrets
    2 debugging symbols found

    Security

    Vulnerabilities
    No known vulnerabilities detected
    Hardening
    1 baseline mitigations missing

    Threats

    Tampering
    No evidence of software tampering
    Malware
    No evidence of malware inclusion
    Overviewissues13vulnerabilities0malware0behaviors256dependencies29contributors1versions989

    FAQ for Python

    What is Python?

    Python language support with extension access points for IntelliSense (Pylance), Debugging (Python Debugger), linting, formatting, refactoring, unit tests, and more. For more information about this package, visit its homepage.

    Is Python malicious or is it safe to use?

    The VS Code package Python was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

    Is Python popular?

    The VS Code package Python is classified as a key project because of its widespread usage and impact. Python ranks among the top 10 projects in the VS Code community. It has 230M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

    How do I secure Python once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how Python behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a Python version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

    Did you know...

    ... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

    We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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