inference@0.9.1 vulnerabilities

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

  • latest version

    0.62.5

  • latest non vulnerable version

  • first published

    2 years ago

  • latest version published

    1 days ago

  • licenses detected

  • Direct Vulnerabilities

    Known vulnerabilities in the inference package. This does not include vulnerabilities belonging to this package’s dependencies.

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    VulnerabilityVulnerable Version
    • C
    Deserialization of Untrusted Data

    inference is a With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

    Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to the use of pickle in handling numpy objects.

    How to fix Deserialization of Untrusted Data?

    Upgrade inference to version 0.14.0 or higher.

    [,0.14.0)
    • H
    Server-side Request Forgery (SSRF)

    inference is a With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

    Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) when processing a malicious numpy filename not specified by an FQDN.

    How to fix Server-side Request Forgery (SSRF)?

    Upgrade inference to version 0.14.0 or higher.

    [,0.14.0)