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HistoryJun 01, 2022 - 2:33 a.m.

Security Bulletin: Watson Machine Learning Accelerator is affected but not classified as vulnerable by a remote code execution in Spring Framework (CVE-2022-22965)

2022-06-0102:33:07
www.ibm.com
16

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

7.5 High

CVSS2

Access Vector

NETWORK

Access Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:N/C:P/I:P/A:P

0.975 High

EPSS

Percentile

100.0%

Summary

Watson Machine Learning Accelerator is affected but not classified as vulnerable to a remote code execution in Spring Framework (CVE-2022-22965) as it does not meet all of the following criteria: 1. JDK 9 or higher, 2. Apache Tomcat as the Servlet container, 3. Packaged as WAR (in contrast to a Spring Boot executable jar), 4. Spring-webmvc or spring-webflux dependency, 5. Spring Framework versions 5.3.0 to 5.3.17, 5.2.0 to 5.2.19, and older versions. WMLA use spring framework to manage java application’s dependency injection, events, resources, i18n, validation, data binding, type conversion, SpEL, AOP. The fix includes Spring 5.3.19.

Vulnerability Details

CVEID:CVE-2022-22965
**DESCRIPTION:**Spring Framework could allow a remote attacker to execute arbitrary code on the system, caused by the improper handling of PropertyDescriptor objects used with data binding. By sending specially-crafted data to a Spring Java application, an attacker could exploit this vulnerability to execute arbitrary code on the system. Note: The exploit requires Spring Framework to be run on Tomcat as a WAR deployment with JDK 9 or higher using spring-webmvc or spring-webflux. Note: This vulnerability is also known as Spring4Shell or SpringShell.
CVSS Base score: 9.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/223103 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)

Affected Products and Versions

Affected Product(s) Version(s)
IBM Watson Machine Learning Accelerator

2.2.0;2.2.1;2.2.2;2.2.3
2.3.0;2.3.1;2.3.2;2.3.3;2.3.4;2.3.5;2.3.6;2.3.7;2.3.8
1.2.1;1.2.2;1.2.3

Remediation/Fixes

1. For Watson Machine Learning Accelerator version 2.2.x

To address the affected version, upgrade to IBM Watson Machine Learning Accelerator 2.2.4 by following the document <https://www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0?topic=accelerator-upgrading-watson-machine-learning&gt;

2. For Watson Machine Learning Accelerator version 2.3.x

To address the affected version, upgrade to IBM Watson Machine Learning Accelerator 2.3.9 by following the document <https://www.ibm.com/docs/en/wmla/2.3?topic=installation-install-upgrade&gt;

3. For Watson Machine Learning Accelerator version 1.2.3

To address the affect version, install the interim fix 601147 from the following location: <https://www.ibm.com/eserver/support/fixes/&gt; with fix id: dli-1.2.3-build601147-wmla

Note: For the version 1.2.1,1.2.2, first upgrade the cluster to version 1.2.3 by following the document <https://www.ibm.com/docs/ro/wmla/1.2.3?topic=upgrading-wml-accelerator&gt;, then install the interim fix 601147.

Workarounds and Mitigations

None

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

7.5 High

CVSS2

Access Vector

NETWORK

Access Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:N/C:P/I:P/A:P

0.975 High

EPSS

Percentile

100.0%

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