Google Tensorflow up to 2.5.2/2.6.2/2.7.0 Dequantize axis integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 and classified as critical. This affects the function Dequantize. The manipulation of the argument axis leads to integer overflow.
This vulnerability is uniquely identified as CVE-2022-21727. The attack is possible to be carried out remotely. No exploit exists.
The affected component should be upgraded.
Details
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 critical. This issue affects the function Dequantize. The manipulation of the argument axis with an unknown input leads to a integer overflow vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability.
The weakness was disclosed 02/03/2022 as GHSA-c6fh-56w7-fvjw. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-21727 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 b64638ec5ccaa77b7c1eb90958e3d85ce381f91b 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.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.5
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 7.6
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Integer overflowCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Tensorflow 2.5.3/2.6.3/2.7.1/2.8.0
Patch: b64638ec5ccaa77b7c1eb90958e3d85ce381f91b
Timeline
11/16/2021 🔍02/03/2022 🔍
02/03/2022 🔍
05/06/2025 🔍
Sources
Vendor: google.comAdvisory: GHSA-c6fh-56w7-fvjw
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2022-21727 (🔍)
GCVE (CVE): GCVE-0-2022-21727
GCVE (VulDB): GCVE-100-192167
Entry
Created: 02/03/2022 15:01Updated: 05/06/2025 05:15
Changes: 02/03/2022 15:01 (54), 02/05/2022 08:16 (2), 05/06/2025 05:15 (33)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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