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Security Bulletin: IBM Data Science Experience Local is affected by a cryptography vulnerability

Security Bulletin


Summary

IBM Data Science Experience local has addressed the following vulnerability. IBM Data Science Experience Local implements insecure algorithms for encrypting external data source credentials.

Vulnerability Details

CVEID: Not Applicable
DESCRIPTION: No CVE description.
CVSS Base Score: 6.3
CVSS Temporal Score: See Not Applicable for the current score
CVSS Environmental Score*: Undefined
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N)

Affected Products and Versions

Affected IBM Data Science Experience Local Affected Versions
IBM Data Science Experience Local 1.1.1
IBM Data Science Experience Local 1.1.0
IBM Data Science Experience Local 1.1.2
IBM Data Science Experience Local 1.1.3
IBM Data Science Experience Local 1.2.0

Remediation/Fixes

Upgrade to the 1.2.1 release of IBM Data Science Experience Local. You can download the latest release from Passport Advantage.

Part Name

Part number
IBM Data Science Experience Local Enterprise Edition V1.2 Memo to Users English Only CNJE9EN.pdf

Workarounds and Mitigations

None

Get Notified about Future Security Bulletins

References

Off

Change History

10 August 2018: Original version published

*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

According to the Forum of Incident Response and Security Teams (FIRST), the Common Vulnerability Scoring System (CVSS) is an "industry open standard designed to convey vulnerability severity and help to determine urgency and priority of response." IBM PROVIDES THE CVSS SCORES ""AS IS"" WITHOUT WARRANTY OF ANY KIND, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. CUSTOMERS ARE RESPONSIBLE FOR ASSESSING THE IMPACT OF ANY ACTUAL OR POTENTIAL SECURITY VULNERABILITY.

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Document Information

Modified date:
18 September 2018

UID

ibm10720161