CVE-ID |
CVE-2022-41887
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• CVSS Severity Rating • Fix Information • Vulnerable Software Versions • SCAP Mappings • CPE Information
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Description |
TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
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References |
Note: References are provided for the convenience of the reader to help distinguish between vulnerabilities. The list is not intended to be complete.
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Assigning CNA |
GitHub (maintainer security advisories) |
Date Record Created |
20220930 |
Disclaimer: The record creation date may reflect when
the CVE ID was allocated or reserved, and does not
necessarily indicate when this vulnerability was
discovered, shared with the affected vendor, publicly
disclosed, or updated in CVE.
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Phase (Legacy) |
Assigned (20220930) |
Votes (Legacy) |
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Comments (Legacy) |
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Proposed (Legacy) |
N/A |
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