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CVE-2019-19150

4.9 · MEDIUM

On versions 15.0.0-15.0.1.1, 14.1.0-14.1.2, 14.0.0-14.0.1, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP APM system logs the client-session-id when a per-session policy is attache…

Published Dec 23, 2019CWE-532EPSS 0.83%

Overview

CVE-2019-19150 is a medium-severity vulnerability. It was published on December 23, 2019 and has a CVSS 3.1 base score of 4.9 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 4.9, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

On versions 15.0.0-15.0.1.1, 14.1.0-14.1.2, 14.0.0-14.0.1, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP APM system logs the client-session-id when a per-session policy is attached to the virtual server with debug logging enabled.

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.

Frequently asked questions

What is CVE-2019-19150?

CVE-2019-19150 is a medium-severity vulnerability. It was published on December 23, 2019 and has a CVSS 3.1 base score of 4.9 (MEDIUM).

How severe is CVE-2019-19150?

This vulnerability has a CVSS 3.1 base score of 4.9, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2019-19150?

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-2019-19150?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-19150 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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