Google TensorFlow up to 2.6.3/2.7.1/2.8.0 tf.raw_ops.UnsortedSegmentJoin integer underflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0. This impacts the function tf.raw_ops.UnsortedSegmentJoin. The manipulation leads to integer underflow.
This vulnerability is referenced as CVE-2022-29204. Remote exploitation of the attack is possible. No exploit is available.
It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0 (Artificial Intelligence Software). This issue affects the function tf.raw_ops.UnsortedSegmentJoin. The manipulation with an unknown input leads to a integer underflow vulnerability. Using CWE to declare the problem leads to CWE-191. The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result. Impacted is availability.
The weakness was published 05/22/2022 as GHSA-hx9q-2mx4-m4pg. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-29204 since 04/13/2022. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.6.4, 2.7.2, 2.8.1 or 2.9.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 20cb18724b0bf6c09071a3f53434c4eec53cc147 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: 4.7VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CNA Base Score: 5.5
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: Integer underflowCWE: CWE-191 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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 2.6.4/2.7.2/2.8.1/2.9.0
Patch: 20cb18724b0bf6c09071a3f53434c4eec53cc147
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
06/25/2025 🔍
Sources
Vendor: google.comAdvisory: GHSA-hx9q-2mx4-m4pg
Status: Confirmed
CVE: CVE-2022-29204 (🔍)
GCVE (CVE): GCVE-0-2022-29204
GCVE (VulDB): GCVE-100-200495
Entry
Created: 05/22/2022 05:09Updated: 06/25/2025 23:57
Changes: 05/22/2022 05:09 (54), 05/27/2022 13:41 (1), 06/25/2025 23:57 (33)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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