TensorFlow Unchecked Rank in tf.image.generate_bounding_box_proposals CVE-2022-41888
CVE-2022-41888 Published on November 18, 2022

Unckecked rank size in `tf.image.generate_bounding_box_proposals` in Tensorflow
TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. 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-2022-41888 is exploitable 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-2022-41888. 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

Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.


Products Associated with CVE-2022-41888

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Google Tensorflow
 

Affected Versions

tensorflow:

Vulnerable Packages

The following package name and versions may be associated with CVE-2022-41888

Package Manager Vulnerable Package Versions Fixed In
pip tensorflow < 2.8.4 2.8.4
pip tensorflow >= 2.9.0, < 2.9.3 2.9.3
pip tensorflow >= 2.10.0, < 2.10.1 2.10.1
pip tensorflow-cpu < 2.8.4 2.8.4
pip tensorflow-gpu < 2.8.4 2.8.4
pip tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3
pip tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3
pip tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1
pip tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1

Exploit Probability

EPSS
0.20%
Percentile
42.24%

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.