VDB-208890 · CVE-2022-35970 · GHSA-g35r-369w-3fqp

Google TensorFlow up to 2.7.1/2.8.0/2.9.0 QuantizedInstanceNorm x_min/x_max denial of service

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.7	$0-$5k	0.00

Summaryinfo

A vulnerability labeled as problematic has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. Affected by this vulnerability is the function QuantizedInstanceNorm. The manipulation of the argument x_min/x_max results in denial of service. This vulnerability is known as CVE-2022-35970. It is possible to launch the attack remotely. No exploit is available. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as problematic has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). Affected is the function QuantizedInstanceNorm. The manipulation of the argument x_min/x_max with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. This is going to have an impact on availability. CVE summarizes:

TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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 published 09/17/2022 as GHSA-g35r-369w-3fqp. The advisory is available at github.com. This vulnerability is traded as CVE-2022-35970 since 07/15/2022. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1499 by the MITRE ATT&CK project.

Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch 785d67a78a1d533759fcd2f5e8d6ef778de849e0 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

Type

Artificial Intelligence Software

Vendor

Google

Name

TensorFlow

Version

License

free

Website

Vendor: https://www.google.com/

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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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: CWE-404
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: 785d67a78a1d533759fcd2f5e8d6ef778de849e0

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-g35r-369w-3fqp
Status: Confirmed

CVE: CVE-2022-35970 (🔍)
GCVE (CVE): GCVE-0-2022-35970
GCVE (VulDB): GCVE-100-208890

Entryinfo

Created: 09/17/2022 08:11
Updated: 10/19/2022 14:41
Changes: 09/17/2022 08:11 (45), 10/19/2022 14:41 (21)
Complete: 🔍
Cache ID: 216::103