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    failIncident: Malware
    Scanned: 11 days ago

    cognikit

    0.1.2
    Artifact:
    cognikit-0.1.2-py3-none-any.whl
    latest
    removed
    malicious
    Research
    Shared AI toolkit helpers: config, paths, identity, framing, file transfer
    License: Permissive (MIT)
    Published: 3 months ago
    See on PyPI

    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 suspicious application behaviors
    Malware
    7 supply chain attack artifacts

    INCIDENTS FOR THIS VERSION:

    malware
    3 months agoReported By: Community (Snyk)
    More info
    malware
    3 months agoReported By: Community (kam193)
    More info
    malware
    3 months agoReported By: Community (OpenSSF)
    More info
    malware
    3 months agoReported By: Community (GitHub Advisory)
    More info
    removal
    3 months agoReported By: Community
    malware
    about 2 months agoReported By: ReversingLabs (Researcher)
    Learn more about malware detection
    Overviewissues8vulnerabilities0malware3behaviors38dependencies1contributors1versions1

    FAQ for cognikit

    What is cognikit?

    Shared AI toolkit helpers: config, paths, identity, framing, file transfer.

    Is cognikit malicious or is it safe to use?

    The Python package cognikit 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. 1 other issue and risky behavior was 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 cognikit package were malicious.

    Is cognikit popular?

    The Python package cognikit is not widely used. It has 189 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 cognikit once it is in my app?

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