CVE-2022-35960

HighCVSS 7.5/10Last modified Jun 17, 2026

Description

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.

Metrics

CVSS 3.1 7.5/10CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Weakness enumeration

Affected software

No affected versions have been published.

Timeline

Published
Sep 16, 2022
Last modified
Jun 17, 2026
NVD status
Modified

Related CVEs from 2022

CVE-2022-359616.5OpenZeppelin Contracts is a library for secure smart contract development. The functions `ECDSA.recover` and `ECDSA.tryRecover` are vulnerabCVE-2022-359625.7Zulip is an open source team chat and Zulip Mobile is an app for iOS and Andriod users. In Zulip Mobile through version 27.189, a crafted liCVE-2022-359637.5TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input CVE-2022-359647.5TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. ThisCVE-2022-359657.5TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it resulCVE-2022-359667.5TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rCVE-2022-359677.5TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank,CVE-2022-359687.5TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_inpuCVE-2022-359697.5TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimenCVE-2022-35976.5LibTIFF 4.4.0 has an out-of-bounds write in _TIFFmemcpy in libtiff/tif_unix.c:346 when called from extractImageSection, tools/tiffcrop.c:682CVE-2022-359707.5TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rankCVE-2022-359717.5TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank,
CVE-2022-35960: High severity, CVSS 7.5 | Vulnix