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CVE-2019-20219

8.8 · HIGH
Published Jan 2, 2020 miniupnp_project CWE-125 EPSS 1.29% (68th pctl)

Overview

CVE-2019-20219 is a high-severity vulnerability affecting miniupnp_project ngiflib. It was published on January 2, 2020 and has a CVSS 3.1 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

ngiflib 0.4 has a heap-based buffer over-read in GifIndexToTrueColor in ngiflib.c.

Remediation

Check the references section for vendor advisories and patches from miniupnp_project. Update ngiflib 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-2019-20219?

CVE-2019-20219 is a high-severity vulnerability affecting miniupnp_project ngiflib. It was published on January 2, 2020 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2019-20219?

This vulnerability has a CVSS 3.1 base score of 8.8, 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-2019-20219?

Check the references section for vendor advisories and patches from miniupnp_project. Update ngiflib 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-2019-20219?

CyberStrike's AI-powered security agents can automatically detect CVE-2019-20219 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.