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%
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.
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 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
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>
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>
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/> 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>, then install the interim fix 601147.
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%