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Vulnerability details: VCID-kzhb-zzzm-ebe1
Vulnerability ID VCID-kzhb-zzzm-ebe1
Aliases GHSA-xf83-q765-xm6m
GMS-2022-7001
GMS-2022-7009
GMS-2022-7017
Summary `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode ### Impact Another instance of CVE-2022-35991, where `TensorListScatter` and `TensorListScatterV2` crash via non scalar inputs in`element_shape`, was found in eager mode and fixed. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None) arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_3='' tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, element_shape=arg_2, name=arg_3) ``` ### Patches We have patched the issue in GitHub commit [bf9932fc907aff0e9e8cccf769e8b00d30fd81a1](https://github.com/tensorflow/tensorflow/commit/bf9932fc907aff0e9e8cccf769e8b00d30fd81a1). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Pattarakrit Rattankul
Status Published
Exploitability 0.5
Weighted Severity 2.7
Risk 1.4
Affected and Fixed Packages Package Details
Weaknesses (2)
No exploits are available.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-04T17:52:37.889739+00:00 GithubOSV Importer Import https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/11/GHSA-xf83-q765-xm6m/GHSA-xf83-q765-xm6m.json 38.6.0