Segfault in TensorFlow array_ops.upper_bound (pre-2.13)
CVE-2023-33976 Published on July 30, 2024

TensorFlow segfault in array_ops.upper_bound
TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.

Github Repository NVD

Vulnerability Analysis

CVE-2023-33976 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

Integer Overflow or Wraparound

The software performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. An integer overflow or wraparound occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may wrap to become a very small or negative number. While this may be intended behavior in circumstances that rely on wrapping, it can have security consequences if the wrap is unexpected. This is especially the case if the integer overflow can be triggered using user-supplied inputs. This becomes security-critical when the result is used to control looping, make a security decision, or determine the offset or size in behaviors such as memory allocation, copying, concatenation, etc.


Products Associated with CVE-2023-33976

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Google Tensorflow
 

Affected Versions

tensorflow Version < 2.13.0 is affected by CVE-2023-33976

Vulnerable Packages

The following package name and versions may be associated with CVE-2023-33976

Package Manager Vulnerable Package Versions Fixed In
pip tensorflow < 2.12.1 2.12.1
pip tensorflow-cpu < 2.12.1 2.12.1
pip tensorflow-gpu < 2.12.1 2.12.1

Exploit Probability

EPSS
0.03%
Percentile
8.67%

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.