TensorFlow NPE in RandomShuffle (XLA) <2.12.0/2.11.1
CVE-2023-25674 Published on March 25, 2023

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1.

NVD

Vulnerability Analysis

CVE-2023-25674 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. 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:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Type

NULL Pointer Dereference

A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. NULL pointer dereference issues can occur through a number of flaws, including race conditions, and simple programming omissions.


Products Associated with CVE-2023-25674

Want to know whenever a new CVE is published for Google Tensorflow? stack.watch will email you.

 

Affected Versions

tensorflow Version < 2.11.1 is affected by CVE-2023-25674

Exploit Probability

EPSS
0.35%
Percentile
56.98%

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.