CVE Vulnerability

CVE-2022-41887

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.

7.5 /10

CVSS v3.0 : HIGH

V3 Legend

Vector :

Exploitability : 3.9 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References
Link Resource
https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3 Exploit Patch
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py Third Party Advisory
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h Third Party Advisory
Configurations

Configuration 1

cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Information

Published : 2022-11-18 10:15

Updated : 2022-11-22 09:55

NVD link : CVE-2022-41887

Mitre link : CVE-2022-41887

Products Affected
No products.
CWE
CWE-131

Incorrect Calculation of Buffer Size