QID 981461

QID 981461: Python (pip) Security Update for tensorflow (GHSA-hx2x-85gr-wrpq)

Security update has been released for tensorflow 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.

In TensorFlow Lite models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reference_ops.h#L2625-L2631

Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer.

This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits.

  • CVSS V3 rated as Critical - 8.6 severity.
  • CVSS V2 rated as High - 7.5 severity.
  • Solution
    We have patched the issue in 204945b and will release patch releases for all affected versions.

    We recommend users to upgrade to TensorFlow 2.2.1, or 2.3.1.Workaround:
    A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model.

    A similar validation could be done if the segment ids are generated at runtime between inference steps.

    If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
    Vendor References

    CVEs related to QID 981461

    Software Advisories
    Advisory ID Software Component Link
    GHSA-hx2x-85gr-wrpq tensorflow URL Logo github.com/advisories/GHSA-hx2x-85gr-wrpq
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