Security Bulletin
Summary
IBM Watson Speech Services Cartridge for IBM Cloud Pak for Data is vulnerable to a buffer overflow in Perl, caused by recursive S_study_chunk calls in regcomp.c (CVE-2020-12723). This could allow a remote attacker to overflow a buffer and execute arbitrary code on the system. Perl is included in some of the operators used in IBM Watson Speech. Please read the details for remediation below.
Vulnerability Details
CVEID: CVE-2020-12723
DESCRIPTION: Perl is vulnerable to a buffer overflow, caused by recursive S_study_chunk calls in regcomp.c. By using a specially-crafted regular expression, a remote attacker could overflow a buffer and execute arbitrary code on the system.
CVSS Base score: 9.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/183205 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 Speech Services Cartridge for IBM Cloud Pak for Data | 4.0.0 - 4.5.0 |
Remediation/Fixes
IBM recommends addressing the vulnerability now by upgrading.
Product(s) | Version(s) | Remediation/Fix/Instructions |
IBM Watson Speech Services Cartridge for IBM Cloud Pak for Data | 4.5.1 | The fix in 4.5.1 applies to all versions listed (4.0.0-4.5.0). Version 4.5.1 can be downloaded and installed from: https://www.ibm.com/docs/en/cloud-paks/cp-data/4.5.x?topic=installing |
Workarounds and Mitigations
None
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References
Change History
14 Jul 2022: 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:
12 January 2023
UID
ibm16610283