Google TensorFlow up to 2.6.3/2.7.1/2.8.0 tf.raw_ops.SpaceToBatchND integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Google TensorFlow up to 2.6.3/2.7.1/2.8.0. The affected element is the function tf.raw_ops.SpaceToBatchND. Performing a manipulation results in integer overflow.
This vulnerability is reported as CVE-2022-29203. The attack is possible to be carried out remotely. No exploit exists.
It is suggested to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0 (Artificial Intelligence Software). This affects the function tf.raw_ops.SpaceToBatchND. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as 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. This is going to have an impact on availability.
The weakness was disclosed 05/22/2022 as GHSA-jjm6-4vf7-cjh4. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-29203 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 acd56b8bcb72b163c834ae4f18469047b001fadf 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.
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: 4.3VulDB Meta Temp Score: 4.2
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / 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: acd56b8bcb72b163c834ae4f18469047b001fadf
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
05/27/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-jjm6-4vf7-cjh4
Status: Confirmed
CVE: CVE-2022-29203 (🔍)
GCVE (CVE): GCVE-0-2022-29203
GCVE (VulDB): GCVE-100-200547
Entry
Created: 05/22/2022 10:55Updated: 05/27/2022 20:37
Changes: 05/22/2022 10:55 (54), 05/27/2022 20:37 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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