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CVE-2019-17132

9.8 · CRITICAL
Published Oct 4, 2019 vbulletin CWE-20 EPSS 11.74% (96th pctl)

Overview

CVE-2019-17132 is a critical-severity vulnerability affecting vbulletin vbulletin. It was published on October 4, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

vBulletin through 5.5.4 mishandles custom avatars.

Remediation

Check the references section for vendor advisories and patches from vbulletin. Update vbulletin 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
vbulletin vbulletin 0 Affected

Frequently Asked Questions

What is CVE-2019-17132?

CVE-2019-17132 is a critical-severity vulnerability affecting vbulletin vbulletin. It was published on October 4, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

How severe is CVE-2019-17132?

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2019-17132?

Check the references section for vendor advisories and patches from vbulletin. Update vbulletin 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-2019-17132?

CyberStrike's AI-powered security agents can automatically detect CVE-2019-17132 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.