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torch@2.4.1 vulnerabilities

Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • latest version

    2.6.0

  • first published

    6 years ago

  • latest version published

    2 months ago

  • licenses detected

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    Direct Vulnerabilities

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

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    VulnerabilityVulnerable Version
    • M
    Improper Check for Unusual or Exceptional Conditions

    torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Affected versions of this package are vulnerable to Improper Check for Unusual or Exceptional Conditions in the ctc_loss() function in LossCTC.cpp, when running on a CUDA system. An attacker can cause the application to crash by passing in input with empty tensors.

    How to fix Improper Check for Unusual or Exceptional Conditions?

    A fix was pushed into the master branch but not yet published.

    [0,)
    • M
    Improper Resource Shutdown or Release

    torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Affected versions of this package are vulnerable to Improper Resource Shutdown or Release via the torch.mkldnn_max_pool2d function. An attacker can disrupt service by exploiting this vulnerability locally and causing a Floating point exception crash.

    How to fix Improper Resource Shutdown or Release?

    There is no fixed version for torch.

    [0,)
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