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Security Bulletin: IBM QRadar Incident Forensics is vulnerable to a publicly disclosed vulnerability in Apache Tika (CVE-2018-17197)

Security Bulletin


Summary

Open source Apache Tika as used in IBM QRadar Incident Forensics is vulnerable to denial of service.

Vulnerability Details

CVEID: CVE-2018-17197
Description: Apache Tika is vulnerable to a denial of service, caused by an error in the SQLite3Parser. By using a specially-crafted file, a remote attacker could exploit this vulnerability to cause the application to enter into an infinite loop.
CVSS Base Score: 5.3
CVSS Temporal Score: See https://exchange.xforce.ibmcloud.com/vulnerabilities/154701 for the current score
CVSS Environmental Score: *Undefined
CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
 

Affected Products and Versions

· IBM QRadar 7.3 to 7.3.2 Patch 1

· IBM QRadar 7.2 to 7.2.8 Patch 15

Workarounds and Mitigations

None

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References

Off

Change History

July 10th, 2019: First Publish

*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.

Document Location

Worldwide

[{"Product": {"code": "SSBQAC", "label": "IBM QRadar Incident Forensics"}, "Edition": "All Editions", "Component": "", "Platform": [{"code": "PF016", "label": "Linux"}], "Version": "7.2, 7.3", "Business Unit": {"code": "BU008", "label": "Security"}}]

Document Information

Modified date:
10 July 2019

UID

ibm10957135