Security Bulletin
Summary
The Apache Log4j vulnerability used by Decision Optimization for Cloud Pak for Data has been addressed. IBM strongly recommends addressing the Log4j vulnerability (CVE-2021-44228) now by upgrading.
Vulnerability Details
CVEID: CVE-2021-44228
DESCRIPTION: Apache Log4j could allow a remote attacker to execute arbitrary code on the system, caused by the failure to protect against attacker controlled LDAP and other JNDI related endpoints by JNDI features. By sending a specially crafted code string, an attacker could exploit this vulnerability to load arbitrary Java code on the server and take complete control of the system.
Note: The vulnerability is also called Log4Shell or LogJam.
CVSS Base score: 10
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/214921 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H)
Affected Products and Versions
Affected Product(s) | Version(s) |
Decision Optimization for Cloud Pak for Data | 4.0.x |
Remediation/Fixes
The issue is fixed in version 4.0.4. IBM strongly recommends addressing the vulnerability now by upgrading.
Here are the instructions to upgrade the Decision Optimization service:
https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=optimization-upgrading-decision
Further information about Decision Optimization:
https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=services-decision-optimization
Workarounds and Mitigations
None
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References
Change History
16 Dec 2021: Initial Publication
*The CVSS Environment Score is customer environment specific and will ultimately impact the Overall CVSS Score. Customers can evaluate the impact of this vulnerability in their environments by accessing the links in the Reference section of this Security Bulletin.
Disclaimer
Review the IBM security bulletin disclaimer and definitions regarding your responsibilities for assessing potential impact of security vulnerabilities to your environment.
Document Location
Worldwide
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Document Information
Modified date:
16 December 2021
UID
ibm16527614