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CVE-2017-6154

7.5 · HIGH

On F5 BIG-IP systems running 13.0.0, 12.1.0 - 12.1.3.1, or 11.6.1 - 11.6.2, the BIG-IP ASM bd daemon may core dump memory under some circumstances when processing undisclosed types of data on syste…

Published Mar 1, 2018CWE-20EPSS 1.66%

Overview

CVE-2017-6154 is a high-severity vulnerability. It was published on March 1, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

On F5 BIG-IP systems running 13.0.0, 12.1.0 - 12.1.3.1, or 11.6.1 - 11.6.2, the BIG-IP ASM bd daemon may core dump memory under some circumstances when processing undisclosed types of data on systems with 48 or more CPU cores.

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-2017-6154?

CVE-2017-6154 is a high-severity vulnerability. It was published on March 1, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).

How severe is CVE-2017-6154?

This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-6154?

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-2017-6154?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-6154 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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