Google TensorFlow up to 2.8.3/2.9.2/2.10.0 tf.raw_ops.CompositeTensorVariantToComponents memory corruption
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.1 | $0-$5k | 0.00 |
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0 (Artificial Intelligence Software). This issue affects the function tf.raw_ops.CompositeTensorVariantToComponents
. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability. The summary by CVE is:
TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
The weakness was released 11/19/2022 as GHSA-rjx6-v474-2ch9. The advisory is shared at github.com. The identification of this vulnerability is CVE-2022-41909 since 09/30/2022. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 2.8.4, 2.9.3, 2.10.1 or 2.11 eliminates this vulnerability. Applying the patch 660ce5a89eb6766834bdc303d2ab3902aef99d3d 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.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB CVSS-B Score: 🔍VulDB CVSS-BT Score: 🔍
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.1VulDB Meta Temp Score: 5.1
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 4.8
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
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 2.8.4/2.9.3/2.10.1/2.11
Patch: 660ce5a89eb6766834bdc303d2ab3902aef99d3d
Timeline
09/30/2022 🔍11/19/2022 🔍
11/19/2022 🔍
12/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-rjx6-v474-2ch9
Status: Confirmed
CVE: CVE-2022-41909 (🔍)
Entry
Created: 11/19/2022 08:22Updated: 12/20/2022 12:25
Changes: 11/19/2022 08:22 (54), 12/20/2022 12:25 (12)
Complete: 🔍
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