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7.5
HIGH CVSS 3.1
CVE-2023-25667
TensorFlow vulnerable to segfault when opening multiframe gif
Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. 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. 21, 2024, 7:49 a.m.

Remotely Exploit :

Yes !

Source :

[email protected]
Affected Products

The following products are affected by CVE-2023-25667 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Google tensorflow
: Total Affected Vendor : 1 | Products : 1
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 MEDIUM [email protected]
CVSS 3.1 HIGH [email protected]
Solution
The TensorFlow installation is vulnerable to an integer overflow; upgrading to a patched version will address the issue.
  • Upgrade to TensorFlow version 2.11.1 or later.
  • Upgrade to TensorFlow version 2.12.0 or later.
Public PoC/Exploit Available at Github

CVE-2023-25667 has a 1 public PoC/Exploit available at Github. Go to the Public Exploits tab to see the list.

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-2023-25667.

URL Resource
https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68 Patch Vendor Advisory
https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68 Patch Vendor Advisory
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2023-25667 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-2023-25667 weaknesses.

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).

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iotdscreator/iotdscreator-dataset

IoTDSCreator Datasets

Updated: 9 months ago
0 stars 0 fork 0 watcher
Born at : Jan. 14, 2025, 10:50 p.m. This repo has been linked 6 different CVEs too.

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2023-25667 vulnerability anywhere in the article.

Results are limited to the first 20 news articles due to potential performance issues.

The following table lists the changes that have been made to the CVE-2023-25667 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 af854a3a-2127-422b-91ae-364da2661108

    Nov. 21, 2024

    Action Type Old Value New Value
    Added Reference https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d
    Added Reference https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68
  • 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. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. 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/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d No Types Assigned https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d Patch
    Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68 Patch, Vendor Advisory
    Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.12.0
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
Base CVSS Score: 7.5
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact
Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

0.17 }} 0.01%

score

0.38937

percentile