Google TensorFlow up to 2.7.1/2.8.0/2.9.0 LowerBound/UpperBound sorted_inputs null pointer dereference

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

Summaryinfo

A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. It has been rated as problematic. This vulnerability affects the function LowerBound/UpperBound. This manipulation of the argument sorted_inputs causes null pointer dereference. This vulnerability is registered as CVE-2022-35965. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

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 LowerBound/UpperBound. The manipulation of the argument sorted_inputs with an unknown input leads to a null pointer dereference vulnerability. The CWE definition for the vulnerability is CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. As an impact it is known to affect availability. The summary by CVE is:

TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. 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-qxpx-j395-pw36. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-35965 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 bce3717eaef4f769019fd18e990464ca4a2efeea 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.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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: Null pointer dereference
CWE: CWE-476 / 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: bce3717eaef4f769019fd18e990464ca4a2efeea

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-qxpx-j395-pw36
Status: Confirmed

CVE: CVE-2022-35965 (🔍)
GCVE (CVE): GCVE-0-2022-35965
GCVE (VulDB): GCVE-100-208915

Entryinfo

Created: 09/17/2022 08:42
Updated: 10/19/2022 16:29
Changes: 09/17/2022 08:42 (45), 10/19/2022 16:29 (21)
Complete: 🔍
Cache ID: 216::103

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