Google TensorFlow up to 2.5.2/2.6.2/2.7.0 Dimensions batch_dim out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.5.2/2.6.2/2.7.0. The affected element is an unknown function of the component Dimensions Handler. Performing a manipulation of the argument batch_dim results in out-of-bounds. This vulnerability is known as CVE-2022-21728. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.
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 classified as critical. This affects an unknown functionality of the component Dimensions Handler. The manipulation of the argument batch_dim with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability.
The weakness was published 02/03/2022 as GHSA-6gmv-pjp9-p8w8. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2022-21728 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 37c01fb5e25c3d80213060460196406c43d31995 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.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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: 7.5VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.1
NVD Vector: 🔍
CNA Base Score: 8.1
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
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: 37c01fb5e25c3d80213060460196406c43d31995
Timeline
11/16/2021 🔍02/03/2022 🔍
02/03/2022 🔍
05/06/2025 🔍
Sources
Vendor: google.comAdvisory: GHSA-6gmv-pjp9-p8w8
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2022-21728 (🔍)
GCVE (CVE): GCVE-0-2022-21728
GCVE (VulDB): GCVE-100-192165
Entry
Created: 02/03/2022 14:57Updated: 05/06/2025 05:15
Changes: 02/03/2022 14:57 (54), 02/05/2022 08:10 (2), 02/05/2022 08:12 (1), 05/06/2025 05:15 (33)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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