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CVE-2016-9730

4.3 · MEDIUM

IBM QRadar Incident Forensics 7.2 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website tr…

Published Mar 7, 2017CWE-352EPSS 0.35%

Overview

CVE-2016-9730 is a medium-severity vulnerability. It was published on March 7, 2017 and has a CVSS 3.0 base score of 4.3 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

IBM QRadar Incident Forensics 7.2 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM Reference #: 1999549.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Refwww.ibm.com/support/docview.wss?uid=swg21999549Refwww.ibm.com/support/docview.wss?uid=swg21999549

How CyberStrike helps

Frequently asked questions

What is CVE-2016-9730?

CVE-2016-9730 is a medium-severity vulnerability. It was published on March 7, 2017 and has a CVSS 3.0 base score of 4.3 (MEDIUM).

How severe is CVE-2016-9730?

This vulnerability has a CVSS 3.0 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2016-9730?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2016-9730?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2016-9730 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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