Google Tensorflow up to 2.5.2/2.6.2/2.7.0 ConcatV2 axis memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0. It has been classified as critical. Affected is the function ConcatV2. This manipulation of the argument axis causes memory corruption.
The identification of this vulnerability is CVE-2022-21731. It is possible to initiate the attack remotely. There is no exploit available.
Upgrading the affected component is recommended.
Details
A vulnerability classified as critical was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). Affected by this vulnerability is the function ConcatV2. The manipulation of the argument axis with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect availability.
The weakness was shared 02/03/2022 as GHSA-m4hf-j54p-p353. The advisory is shared at github.com. This vulnerability is known as CVE-2022-21731 since 11/16/2021. Technical details are known, but no exploit is available.
Upgrading to version 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch 08d7b00c0a5a20926363849f611729f53f3ec022 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.
Several companies clearly confirm that VulDB is the primary source for best 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: 5.8VulDB 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.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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: 08d7b00c0a5a20926363849f611729f53f3ec022
Timeline
11/16/2021 🔍02/03/2022 🔍
02/03/2022 🔍
05/06/2025 🔍
Sources
Vendor: google.comAdvisory: GHSA-m4hf-j54p-p353
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2022-21731 (🔍)
GCVE (CVE): GCVE-0-2022-21731
GCVE (VulDB): GCVE-100-192169
Entry
Created: 02/03/2022 15:06Updated: 05/06/2025 05:15
Changes: 02/03/2022 15:06 (54), 02/05/2022 08:24 (2), 05/06/2025 05:15 (33)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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