Google TensorFlow up to 2.7.1/2.8.0/2.9.0 Conv2DBackpropInput assertion

CVSS Meta Temp Score
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CTI Interest Score
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5.7$0-$5k0.00

Summaryinfo

A vulnerability labeled as problematic has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. The affected element is the function Conv2DBackpropInput. Executing a manipulation can lead to assertion. This vulnerability appears as CVE-2022-35969. The attack may be performed from remote. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as problematic was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). This vulnerability affects the function Conv2DBackpropInput. The manipulation 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 `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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-q2c3-jpmc-gfjx. The advisory is available at github.com. This vulnerability was named CVE-2022-35969 since 07/15/2022. Technical details 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 50156d547b9a1da0144d7babe665cf690305b33c 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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Productinfo

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Version

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.7
VulDB 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.): 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Assertion
CWE: 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 Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: TensorFlow 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 50156d547b9a1da0144d7babe665cf690305b33c

Timelineinfo

07/15/2022 🔍
09/17/2022 +64 days 🔍
09/17/2022 +0 days 🔍
10/19/2022 +32 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: GHSA-q2c3-jpmc-gfjx
Status: Confirmed

CVE: CVE-2022-35969 (🔍)
GCVE (CVE): GCVE-0-2022-35969
GCVE (VulDB): GCVE-100-208918

Entryinfo

Created: 09/17/2022 08:43
Updated: 10/19/2022 16:51
Changes: 09/17/2022 08:43 (54), 10/19/2022 16:51 (11)
Complete: 🔍
Cache ID: 216::103

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