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    Scanned: 2 days ago

    codeoptimizer

    Artifact:
    latest
    removed
    malicious
    Research
    A Telegram bot for system monitoring and control.
    License: Permissive (MIT)
    Published: over 1 year ago
    See on PyPI

    SAFE Assessment

    Compliance

    Licenses
    1 software distribution restrictions
    Secrets
    1 active web service credentials

    Security

    Vulnerabilities
    1 severe vulnerabilities exploited
    Hardening
    No application hardening issues

    Threats

    Tampering
    2 malware-like behaviors found
    Malware
    3 supply chain attack artifacts

    INCIDENTS FOR THIS VERSION:

    removal
    over 1 year agoReported By: Community
    malware
    over 1 year agoReported By: ReversingLabs (Researcher)
    Learn more about malware detection
    malware
    over 1 year agoReported By: Community (OpenSSF)
    More info
    malware
    N/AReported By: Community (kam193)
    More info
    Overviewissues14vulnerabilities2malware3behaviors34dependencies9contributors1versions2

    FAQ for codeoptimizer

    What is codeoptimizer?

    A Telegram bot for system monitoring and control. For more information about this package, visit its homepage.

    Is codeoptimizer malicious or is it safe to use?

    The Python package codeoptimizer has been removed from registry. It was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to use. 4 other issues and risky behaviors were found. The package contains risks, and the analysis results should be reviewed before it is used. Visit the Issues and Behaviors sections of the analysis for more details. All versions of the codeoptimizer package were malicious.

    Is codeoptimizer popular?

    The Python package codeoptimizer is not widely used. It has 299 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 codeoptimizer once it is in my app?

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