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CVE-2022-41887

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Date: November 18, 2022

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.

Language: Python

Severity Score

Related Resources (6)

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
https://nvd.nist.gov/vuln/detail/CVE-2022-41887
https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
https://www.mend.io/vulnerability-database/CVE-2022-41887

Severity Score

Weakness Type (CWE)

Incorrect Calculation of Buffer Size

CWE-131

Top Fix

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Upgrade Version

Upgrade to version tensorflow - 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.9.3, 2.10.1, 2.11.0

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CVSS v3.1

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

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