Security Bulletin
Summary
Potential vulnerabilities in Netty - CVE-2021-43797 has been identified that may affect IBM Watson Assistant for IBM Cloud Pak for Data. Refer to details for additional information.
Vulnerability Details
CVEID: CVE-2021-43797
DESCRIPTION: Netty is vulnerable to HTTP request smuggling, caused by improper parsing of the HTTP transfer-encoding request header names. By sending a specially-crafted HTTP(S) transfer-encoding request header, an attacker could exploit this vulnerability to poison the web cache, bypass web application firewall protection, and conduct XSS attacks.
CVSS Base score: 6.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/215118 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N)
Affected Products and Versions
| Affected Product(s) | Version(s) | ||
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Remediation/Fixes
For all affected versions, IBM strongly recommends addressing the vulnerability now by upgrading to the latest (v4.0.7) release of IBM Watson Assistant for IBM Cloud Pak for Data which maintains backward compatibility with the versions listed above.
| Product Latest Version | Remediation/Fix/Instructions |
| IBM Watson Assistant for IBM Cloud Pak for Data 4.0.7 |
Follow instructions for Installing Watson Assistant in Link to Release (v4.0.7 release information) https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=assistant-installing-watson |
Workarounds and Mitigations
None
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References
Change History
01 Apr 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:
01 April 2022
Initial Publish date:
01 April 2022
UID
ibm16568833