TensorFlow 2.11 Integer Overflow in FusedResizeAndPadConv2D
CVE-2022-41885 Published on November 18, 2022

Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Github Repository NVD

Vulnerability Analysis

CVE-2022-41885 can be exploited with network access, requires user interaction and a small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2022-41885. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Type

Incorrect Calculation of Buffer Size

The software does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.


Products Associated with CVE-2022-41885

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Google Tensorflow
 

Affected Versions

tensorflow:

Vulnerable Packages

The following package name and versions may be associated with CVE-2022-41885

Package Manager Vulnerable Package Versions Fixed In
pip tensorflow < 2.7.4 2.7.4
pip tensorflow >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow >= 2.9.0, < 2.9.1 2.9.1
pip tensorflow-cpu < 2.7.4 2.7.4
pip tensorflow-gpu < 2.7.4 2.7.4
pip tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1
pip tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1

Exploit Probability

EPSS
0.16%
Percentile
36.70%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.