Google Tensorflow up to 2.5.2/2.6.2/2.7.0 QuantizedMaxPool null pointer dereference

CVSS Meta Temp Score
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CTI Interest Score
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5.7$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Google Tensorflow up to 2.5.2/2.6.2/2.7.0. Affected by this vulnerability is the function QuantizedMaxPool. The manipulation leads to null pointer dereference. This vulnerability is listed as CVE-2022-21739. The attack may be initiated remotely. There is no available exploit. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). It has been rated as problematic. This issue affects the function QuantizedMaxPool. The manipulation with an unknown input leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability.

The weakness was presented 02/03/2022 as GHSA-3mw4-6rj6-74g5. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-21739 since 11/16/2021. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch 53b0dd6dc5957652f35964af16b892ec9af4a559 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.

Statistical analysis made it clear that VulDB provides the best quality 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: 5.8
VulDB Meta Temp Score: 5.7

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

NVD Base Score: 6.5
NVD Vector: 🔍

CNA Base Score: 6.5
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Null pointer dereference
CWE: CWE-476 / CWE-404
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 2.5.3/2.6.3/2.7.1/2.8.0
Patch: 53b0dd6dc5957652f35964af16b892ec9af4a559

Timelineinfo

11/16/2021 🔍
02/03/2022 +79 days 🔍
02/03/2022 +0 days 🔍
05/06/2025 +1188 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: GHSA-3mw4-6rj6-74g5
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2022-21739 (🔍)
GCVE (CVE): GCVE-0-2022-21739
GCVE (VulDB): GCVE-100-192203

Entryinfo

Created: 02/03/2022 20:50
Updated: 05/06/2025 06:19
Changes: 02/03/2022 20:50 (53), 02/05/2022 10:05 (2), 05/06/2025 06:19 (33)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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