Google TensorFlow up to 2.12.x array_ops.upper_bound integer overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.7$0-$5k0.00

Summaryinfo

A vulnerability categorized as problematic has been discovered in Google TensorFlow up to 2.12.x. This affects the function array_ops.upper_bound. The manipulation results in integer overflow. This vulnerability is cataloged as CVE-2023-33976. The attack may be launched remotely. There is no exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic has been found in Google TensorFlow up to 2.12.x. Affected is the function array_ops.upper_bound. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as CWE-190. The product 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. This is going to have an impact on availability. CVE summarizes:

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.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2023-33976 since 05/24/2023. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 10/01/2024).

Upgrading to version 2.13.0 eliminates this vulnerability. Applying the patch 6fa05df43b00038b048f4f0e51ef522da6532fec is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Once again VulDB remains the best source for vulnerability data.

Productinfo

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Vendor

Name

Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.8
VulDB Meta Temp Score: 6.7

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 7.5
CNA Vector (GitHub_M): 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: TensorFlow 2.13.0
Patch: 6fa05df43b00038b048f4f0e51ef522da6532fec

Timelineinfo

05/24/2023 🔍
07/31/2024 +434 days 🔍
07/31/2024 +0 days 🔍
10/01/2024 +62 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: GHSA-gjh7-xx4r-x345
Status: Confirmed

CVE: CVE-2023-33976 (🔍)
GCVE (CVE): GCVE-0-2023-33976
GCVE (VulDB): GCVE-100-273204

Entryinfo

Created: 07/31/2024 06:19
Updated: 10/01/2024 17:32
Changes: 07/31/2024 06:19 (67), 07/31/2024 23:09 (2), 10/01/2024 17:32 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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