Cross-site Scripting affects IBM Emptoris Spend Analysis.
CVEID: CVE-2019-4482 DESCRIPTION: IBM Emptoris Spend Analysis is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session.
CVSS Base Score:5.4
CVSS Temporal Score: See https://exchange.xforce.ibmcloud.com/vulnerabilities/164066 for the current score
CVSS Environmental Score*: Undefined
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N)
IBM Emptoris Spend Analysis 10.1.0 through 10.1.3
The remediation to this issue is to apply a fix pack as soon as practical. Please see below for the information on the fixes available.
IBM Emptoris Spend Analysis
Versions affected
|
Remediation
Fixpack(FP) / InterimFix(iFix)
—|—
10.1.0
| FP 10.1.0.31 or later
10.1.1
| FP 10.1.1.30 or later
10.1.3 | FP 10.1.3.24 or later
None
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IBM Product Security Incident Response Blog
13 August 2019: Original document 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.
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.
[{“Business Unit”:{“code”:“BU059”,“label”:“IBM Software w/o TPS”},“Product”:{“code”:“SSYQAR”,“label”:“Emptoris Spend Analysis”},“Component”:“”,“Platform”:[],“Version”:“Version Independent”,“Edition”:“”,“Line of Business”:{“code”:“LOB02”,“label”:“AI Applications”}}]