QID 981476

QID 981476: Python (pip) Security Update for tensorflow-gpu (GHSA-4g9f-63rx-5cw4)

Security update has been released for tensorflow-gpu,tensorflow,tensorflow-cpu to fix the vulnerability.

Note: The preceding description block is extracted directly from the security advisory. Using automation, we have attempted to clean and format it as much as possible without introducing additional issues.

The [`tf.raw_ops.Switch`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Switch) operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor.

However, the eager runtime traverses all tensors in the output:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/common_runtime/eager/kernel_and_device.cc#L308-L313

Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault

  • CVSS V3 rated as Medium - 5.3 severity.
  • CVSS V2 rated as Medium - 5 severity.
  • Solution
    We have patched the issue in da8558533d925694483d2c136a9220d6d49d843c and will release a patch release for all affected versions.

    We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
    Vendor References

    CVEs related to QID 981476

    Software Advisories
    Advisory ID Software Component Link
    GHSA-4g9f-63rx-5cw4 tensorflow URL Logo github.com/advisories/GHSA-4g9f-63rx-5cw4
    GHSA-4g9f-63rx-5cw4 tensorflow-cpu URL Logo github.com/advisories/GHSA-4g9f-63rx-5cw4
    GHSA-4g9f-63rx-5cw4 tensorflow-gpu URL Logo github.com/advisories/GHSA-4g9f-63rx-5cw4

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