PyPi: Tensorflow

CVE-2022-41887

Safety vulnerability ID: 51946

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Nov 18, 2022 Updated at Jun 18, 2024
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Advisory

Tensorflow 2.9.3 and 2.10.1 include a fix for CVE-2022-41887: '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.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3

Affected package

tensorflow

Latest version: 2.16.1

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

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. See CVE-2022-41887.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
MISC:https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
MISC:https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
MISC:https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c: https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c

Resources

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Severity Details

CVSS Base Score

HIGH 7.5

CVSS v3 Details

HIGH 7.5
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH