TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. 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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj | Exploit Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc | Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-11-18 13:15
Updated : 2022-11-23 10:12
NVD link : CVE-2022-41883
Mitre link : CVE-2022-41883
JSON object : View
CWE
CWE-125
Out-of-bounds Read
Products Affected
- tensorflow