CVE-2023-25670
TensorFlow MKL Enabled NULL Pointer Vulnerability
Description
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
INFO
Published Date :
March 25, 2023, 12:15 a.m.
Last Modified :
Nov. 7, 2023, 4:09 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-25670.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727 | Patch |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w | Patch Vendor Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-25670 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-25670 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Nov. 07, 2023
Action Type Old Value New Value Changed Description TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. -
Initial Analysis by [email protected]
Mar. 30, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727 No Types Assigned https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727 Patch Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w Patch, Vendor Advisory Added CWE NIST CWE-476 Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.12.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-25670 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-25670
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.09 }} 0.01%
score
0.36871
percentile