Google TensorFlow up to 2.7.1/2.8.0/2.9.0 MaxPool ksize assertion
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.7 | $0-$5k | 0.00 |
A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). It has been declared as problematic. Affected by this vulnerability is the function MaxPool
. The manipulation of the argument ksize
with an unknown input leads to a assertion vulnerability. The CWE definition for the vulnerability is CWE-617. The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary. As an impact it is known to affect availability. The summary by CVE is:
TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
The weakness was disclosed 09/17/2022 as GHSA-j43h-pgmg-5hjq. The advisory is shared at github.com. This vulnerability is known as CVE-2022-35989 since 07/15/2022. Technical details are known, but no exploit is available.
Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch 32d7bd3defd134f21a4e344c8dfd40099aaf6b18 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.
The entry VDB-208911 is pretty similar.
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: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 5.9
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: AssertionCWE: CWE-617
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 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 32d7bd3defd134f21a4e344c8dfd40099aaf6b18
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/19/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-j43h-pgmg-5hjq
Status: Confirmed
CVE: CVE-2022-35989 (🔍)
See also: 🔍
Entry
Created: 09/17/2022 08:16Updated: 10/19/2022 14:57
Changes: 09/17/2022 08:16 (55), 10/19/2022 14:57 (11)
Complete: 🔍
Cache ID: 3:F60:103
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