Vulnerability Monitor

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CVE-2022-35960

TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Published

2022-09-16T20:15:10.573

Last Modified

2024-11-21T07:12:03.350

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses
  • Type: Primary
    CWE-617
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.7.2 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.9.0 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
Application google tensorflow 2.10 Yes
References