IBM Support

Security Bulletin: Netty security vulnerabilities on IBM Watson Machine Learning Server

Security Bulletin


Summary

Netty is vulnerable to allow HTTP Request Smuggling on IBM Watson Machine Learning Server

Vulnerability Details

CVEID:   CVE-2020-7238
DESCRIPTION:   Netty is vulnerable to HTTP request smuggling, caused by a flaw when handling Transfer-Encoding whitespace and a later Content-Length header. By sending a specially-crafted request, 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/175398 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N)

Affected Products and Versions

Affected Product(s)Version(s)
IBM Watson Machine Learning Server on-prem2.0.0

Remediation/Fixes

Fix is available on WMLServer 2.0.0.1 release .
Download WMLS from Passport Advantage: https://www.ibm.com/support/pages/passport-advantage-and-passport-advantage-express

Workarounds and Mitigations

None

Get Notified about Future Security Bulletins

References

Off

Change History

21 Apr 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

[{"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSCNDT","label":"IBM Watson Machine Learning Service"},"Component":"WML","Platform":[{"code":"PF032","label":"VM"},{"code":"PF016","label":"Linux"}],"Version":"2.0.0.1","Edition":"","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
03 May 2021

UID

ibm16449286