Google TensorFlow up to 2.11.0 RandomShuffle null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Google TensorFlow up to 2.11.0. The impacted element is the function RandomShuffle. Performing a manipulation results in null pointer dereference.
This vulnerability is reported as CVE-2023-25674. 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 2.11.0 (Artificial Intelligence Software). This affects the function RandomShuffle. The manipulation with an unknown input leads to a null pointer dereference vulnerability. CWE is classifying the issue as CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. This is going to have an impact on availability. The summary by CVE is:
TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1.
The weakness was disclosed 03/25/2023 as GHSA-gf97-q72m-7579. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2023-25674 since 02/09/2023. Technical details are known, but no exploit is available.
Upgrading to version 2.11.1 or 2.12.0 eliminates this vulnerability. Applying the patch 728113a3be690facad6ce436660a0bc1858017fa 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: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
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 2.11.1/2.12.0
Patch: 728113a3be690facad6ce436660a0bc1858017fa
Timeline
02/09/2023 🔍03/25/2023 🔍
03/25/2023 🔍
03/25/2023 🔍
Sources
Vendor: google.comAdvisory: GHSA-gf97-q72m-7579
Status: Confirmed
CVE: CVE-2023-25674 (🔍)
GCVE (CVE): GCVE-0-2023-25674
GCVE (VulDB): GCVE-100-223857
Entry
Created: 03/25/2023 07:58Changes: 03/25/2023 07:58 (54)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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