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CVE-2016-9726

8.8 · HIGH
Published Mar 7, 2017 ibm CWE-20 EPSS 2.34% (82th pctl)

Overview

CVE-2016-9726 is a high-severity vulnerability affecting ibm qradar_incident_forensics. It was published on March 7, 2017 and has a CVSS 3.0 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

IBM QRadar Incident Forensics 7.2 could allow a remote authenticated attacker to execute arbitrary commands on the system. By sending a specially-crafted request, an attacker could exploit this vulnerability to execute arbitrary commands on the system. IBM Reference #: 1999542.

Remediation

Check the references section for vendor advisories and patches from ibm. Update qradar_incident_forensics to the latest patched version. 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.

Affected Products

Vendor Product Versions Status

Frequently Asked Questions

What is CVE-2016-9726?

CVE-2016-9726 is a high-severity vulnerability affecting ibm qradar_incident_forensics. It was published on March 7, 2017 and has a CVSS 3.0 base score of 8.8 (HIGH).

How severe is CVE-2016-9726?

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2016-9726?

Check the references section for vendor advisories and patches from ibm. Update qradar_incident_forensics to the latest patched version. 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-2016-9726?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-9726 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.