CVE-2022-41910: Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is CVE-2022-41910?
CVE-2022-41910 is a vulnerability in TensorFlow that allows an out-of-bounds memory read or a crash when certain inputs are provided.
How severe is CVE-2022-41910?
CVE-2022-41910 has a severity rating of 9.1 (critical).
Which versions of TensorFlow are affected by CVE-2022-41910?
TensorFlow versions up to and including 2.8.4, versions 2.9.0 to 2.9.3, and version 2.10.0 are affected by CVE-2022-41910.
How can I fix CVE-2022-41910?
To fix CVE-2022-41910, you should update TensorFlow to a version that is not affected by the vulnerability. Refer to the official TensorFlow documentation or advisories for the recommended updates.
What is the Common Weakness Enumeration (CWE) ID for CVE-2022-41910?
The CWE ID for CVE-2022-41910 is CWE-125 (Out-of-bounds Read).