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    failIncident: Malware
    Scanned: about 4 hours ago

    Matplotlib Pilot (Chinese)

    Artifact:
    malicious
    提供Matplotlib代码片段、模板等工具
    License: unknown
    Published: about 2 years ago
    Publisher: litchi
    See on Visual Studio Code

    SAFE Assessment

    Compliance

    Licenses
    No license compliance issues
    Secrets
    No sensitive information found

    Security

    Vulnerabilities
    No known vulnerabilities detected
    Hardening
    1 low priority mitigations absent

    Threats

    Tampering
    No evidence of software tampering
    Malware
    1 malicious components found

    INCIDENTS FOR THIS VERSION:

    malware
    10 months agoReported By: ReversingLabs (Automated)
    Learn more about malware detection
    Overviewissues3vulnerabilities0malware1behaviors61dependencies0contributors1versions41

    FAQ for Matplotlib Pilot (Chinese)

    What is Matplotlib Pilot (Chinese)?

    提供Matplotlib代码片段、模板等工具.

    Is Matplotlib Pilot (Chinese) malicious or is it safe to use?

    The VS Code package Matplotlib Pilot (Chinese) was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. 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. The package Matplotlib Pilot (Chinese) had 9 incidents in versions published within 2 years prior to the latest.

    Is Matplotlib Pilot (Chinese) popular?

    The VS Code package Matplotlib Pilot (Chinese) ranks among the top 10000 projects in this community. It has 58K 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 Matplotlib Pilot (Chinese) once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how Matplotlib Pilot (Chinese) behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a Matplotlib Pilot (Chinese) 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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