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Security Bulletin: WAS Liberty vunerabilities affect IBM Watson Text to Speech and Speech to Text (IBM Watson™ Speech Services 1.1)

Security Bulletin


Summary

A cookie created without a secure flag can cause a vulnerability in WAS Liberty affecting IBM Watson Text to Speech and Speech to Text .

Vulnerability Details

CVEID:   CVE-2019-4305
DESCRIPTION:   IBM WebSphere Application Server Liberty could allow a remote attacker to obtain sensitive information caused by the improper setting of a cookie. IBM X-Force ID: 160951.
CVSS Base score: 5.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/160951 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N)

Affected Products and Versions

Affected Product(s)Version(s)
IBM Watson™ Speech Services1.1

Remediation/Fixes

Download and install the newest deployment of IBM Watson™ Speech Services 1.1.1 to your ICP cluster. This deployment contains an upgrade of WebSphere Application Server containing the fix for this issue: 20.0.0_01

Workarounds and Mitigations

None

Get Notified about Future Security Bulletins

References

Off

Change History

28 Feb 2020: 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":"SSH3YV","label":"IBM Speech to Text for IBM Cloud"},"Component":"ICP Discovery","Platform":[{"code":"PF040","label":"RedHat OpenShift"}],"Version":"1.0-1.1","Edition":"ALL","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
12 January 2023

UID

ibm15692208