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CVE-2018-8050

6.5 · MEDIUM
Published Mar 11, 2018 afflib_project CWE-20 EPSS 1.58% (74th pctl)

Overview

CVE-2018-8050 is a medium-severity vulnerability affecting afflib_project afflib. It was published on March 11, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The af_get_page() function in lib/afflib_pages.cpp in AFFLIB (aka AFFLIBv3) through 3.7.16 allows remote attackers to cause a denial of service (segmentation fault) via a corrupt AFF image that triggers an unexpected pagesize value.

Remediation

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

Frequently Asked Questions

What is CVE-2018-8050?

CVE-2018-8050 is a medium-severity vulnerability affecting afflib_project afflib. It was published on March 11, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

How severe is CVE-2018-8050?

This vulnerability has a CVSS 3.0 base score of 6.5, 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-2018-8050?

Check the references section for vendor advisories and patches from afflib_project. Update afflib 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-2018-8050?

CyberStrike's AI-powered security agents can automatically detect CVE-2018-8050 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.