Google TensorFlow up to 2.11.0 tf.raw_ops.Print summarize null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.11.0. The affected element is the function tf.raw_ops.Print. Performing a manipulation of the argument summarize results in null pointer dereference.
This vulnerability is known as CVE-2023-25660. Remote exploitation of the attack is possible. No exploit is available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.11.0 (Artificial Intelligence Software). It has been classified as problematic. This affects the function tf.raw_ops.Print. The manipulation of the argument summarize 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 platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.
The weakness was published 03/25/2023 as GHSA-qjqc-vqcf-5qvj. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2023-25660 since 02/09/2023. It demands that the victim is doing some kind of user interaction. 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 6d423b8bcc9aa9f5554dc988c1c16d038b508df1 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: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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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: 6d423b8bcc9aa9f5554dc988c1c16d038b508df1
Timeline
02/09/2023 🔍03/25/2023 🔍
03/25/2023 🔍
03/25/2023 🔍
Sources
Vendor: google.comAdvisory: GHSA-qjqc-vqcf-5qvj
Status: Confirmed
CVE: CVE-2023-25660 (🔍)
GCVE (CVE): GCVE-0-2023-25660
GCVE (VulDB): GCVE-100-223845
Entry
Created: 03/25/2023 07:51Changes: 03/25/2023 07:51 (55)
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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