Google TensorFlow up to 2.11.0 TFLite Model filter_input_channel comparison

CVSS Meta Temp Score
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CTI Interest Score
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5.8$0-$5k0.00

Summaryinfo

A vulnerability was found in Google TensorFlow up to 2.11.0 and classified as problematic. This affects an unknown function of the component TFLite Model Handler. The manipulation of the argument filter_input_channel results in comparison. This vulnerability is identified as CVE-2023-27579. The attack can be executed remotely. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in Google TensorFlow up to 2.11.0 (Artificial Intelligence Software). It has been classified as problematic. Affected is an unknown code of the component TFLite Model Handler. The manipulation of the argument filter_input_channel with an unknown input leads to a comparison vulnerability. CWE is classifying the issue as CWE-697. The product compares two entities in a security-relevant context, but the comparison is incorrect, which may lead to resultant weaknesses. This is going to have an impact on availability. CVE summarizes:

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.

The weakness was released 03/25/2023 as GHSA-5w96-866f-6rm8. The advisory is shared for download at github.com. This vulnerability is traded as CVE-2023-27579 since 03/04/2023. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.

Upgrading to version 2.11.1 or 2.12 eliminates this vulnerability. Applying the patch 34f8368c535253f5c9cb3a303297743b62442aaa 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

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.8

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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

Exploitinginfo

Class: Comparison
CWE: CWE-697
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 2.11.1/2.12
Patch: 34f8368c535253f5c9cb3a303297743b62442aaa

Timelineinfo

03/04/2023 🔍
03/25/2023 +21 days 🔍
03/25/2023 +0 days 🔍
03/25/2023 +0 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: GHSA-5w96-866f-6rm8
Status: Confirmed

CVE: CVE-2023-27579 (🔍)
GCVE (CVE): GCVE-0-2023-27579
GCVE (VulDB): GCVE-100-223836

Entryinfo

Created: 03/25/2023 07:47
Changes: 03/25/2023 07:47 (55)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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