Google TensorFlow up to 2.7.1/2.8.0/2.9.0 GatherNd out-of-bounds

CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
7.2 | $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 rated as problematic. This issue affects the function GatherNd
. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. 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-pxrw-j2fv-hx3h. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-35937 since 07/15/2022. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch 595a65a3e224a0362d7e68c2213acfc2b499a196 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.
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Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.2VulDB Meta Temp Score: 7.2
VulDB Base Score: 5.6
VulDB Temp Score: 5.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.1
NVD Vector: 🔍
CNA Base Score: 7.0
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / 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 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 595a65a3e224a0362d7e68c2213acfc2b499a196
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/19/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-pxrw-j2fv-hx3h
Status: Confirmed
CVE: CVE-2022-35937 (🔍)
GCVE (CVE): GCVE-0-2022-35937
GCVE (VulDB): GCVE-100-208907
Entry
Created: 09/17/2022 08:24 AMUpdated: 10/19/2022 03:39 PM
Changes: 09/17/2022 08:24 AM (54), 10/19/2022 03:39 PM (11)
Complete: 🔍
Cache ID: 18:2D9:40
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