Google TensorFlow up to 2.7.1/2.8.0/2.9.0 FractionalAvgPoolGrad orig_input_tensor_shape assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as problematic has been discovered in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. This impacts the function FractionalAvgPoolGrad. Executing a manipulation of the argument orig_input_tensor_shape can lead to assertion.
This vulnerability appears as CVE-2022-35963. The attack may be performed from remote. There is no available exploit.
It is advisable to upgrade the affected component.
Details
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. This vulnerability affects the function FractionalAvgPoolGrad. The manipulation of the argument orig_input_tensor_shape 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. CVE summarizes:
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. 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 presented 09/17/2022 as GHSA-84jm-4cf3-9jfm. The advisory is shared for download at github.com. This vulnerability was named CVE-2022-35963 since 07/15/2022. There are known technical details, 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 03a659d7be9a1154fdf5eeac221e5950fec07dad 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
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
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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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: AssertionCWE: CWE-617
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 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 03a659d7be9a1154fdf5eeac221e5950fec07dad
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/19/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-84jm-4cf3-9jfm
Status: Confirmed
CVE: CVE-2022-35963 (🔍)
GCVE (CVE): GCVE-0-2022-35963
GCVE (VulDB): GCVE-100-208888
Entry
Created: 09/17/2022 08:09Updated: 10/19/2022 14:34
Changes: 09/17/2022 08:09 (55), 10/19/2022 14:34 (11)
Complete: 🔍
Cache ID: 216::103
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