SNS Vulnerability

IBM WebSphere Lombardi Edition Dojo Toolkit Cross-Site Scripting Vulnerabilities

Description

IBM has acknowledged multiple vulnerabilities in IBM WebSphere Lombardi Edition, which can be exploited by malicious people to conduct cross-site scripting attacks.
For more information:
SA62590
The vulnerabilities are reported in version 7.2.

Vulnerable Products

Vulnerable Software:
IBM WebSphere Lombardi Edition 7.x

Solution

Apply APARs JR53081 and IT08348.

CVE

CVE-2014-8917

References

IBM (JR53081
IT08348):
http://www.ibm.com/support/docview.wss?uid=swg21883360

Vulnerability Manager Detection

IPS Protection

ASQ Engine alarm	Available Since
XSS - Prevention - GET : suspicious 'iframe' tag found in URL	3.2.0
XSS - Prevention - GET : suspicious 'meta' tag found in URL	3.2.0
XSS - Prevention - GET : suspicious tag with event found in URL	3.2.0
XSS - Prevention - GET : suspicious 'applet' tag found in URL	3.2.0
XSS - Phishing : suspicious 'div' tag found in URL	3.2.0
XSS - Prevention - GET : suspicious 'style' attribute found in URL	3.2.0
XSS - Prevention - GET : suspicious 'img' tag found in URL	3.2.0
XSS - Phishing : suspicious 'a' tag found in URL	3.2.0
XSS - Prevention - GET : cookie access attempt using script language found in URL	3.2.0
XSS - Prevention - GET : suspicious 'embed' tag found in URL	3.2.0
XSS - Prevention - GET : suspicious 'object' tag found in URL	3.2.0
XSS - Phishing : suspicious 'form' tag found in URL	3.2.0
XSS - Prevention - GET : javascript code found in URL	3.2.0
XSS - Prevention - GET : evasion attempt using tag characters encoding in URL	3.2.0
XSS - Prevention - GET : suspicious 'style' tag found in URL	3.2.0
XSS - Phishing : suspicious 'link' tag found in URL	3.2.0
XSS - Prevention - GET : 'script' tag found in URL	3.2.0
XSS - Prevention - GET : 'location' javascript object found in URL	3.2.0
XSS - Prevention - GET : suspicious 'div' tag found in URL	3.2.0

Risk level

Low

Vulnerability First Public Report Date

2015-05-21

Target Type

Client

Possible exploit

Remote