Vulnerabilities > CVE-2022-41896 - Improper Validation of Specified Quantity in Input vulnerability in Google Tensorflow
Attack vector
NETWORK Attack complexity
LOW Privileges required
NONE Confidentiality impact
NONE Integrity impact
NONE Availability impact
HIGH Summary
TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc
- https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860
- https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35