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CVE-2020-8945

7.5 · HIGH
Published Feb 12, 2020 gpgme_project CWE-416 EPSS 5.07% (92th pctl)

Overview

CVE-2020-8945 is a high-severity vulnerability affecting gpgme_project gpgme. It was published on February 12, 2020 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 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

The proglottis Go wrapper before 0.1.1 for the GPGME library has a use-after-free, as demonstrated by use for container image pulls by Docker or CRI-O. This leads to a crash or potential code execution during GPG signature verification.

Remediation

Check the references section for vendor advisories and patches from gpgme_project. Update gpgme 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
gpgme_project gpgme >= 0, < 0.1.1 Affected

Frequently Asked Questions

What is CVE-2020-8945?

CVE-2020-8945 is a high-severity vulnerability affecting gpgme_project gpgme. It was published on February 12, 2020 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2020-8945?

This vulnerability has a CVSS 3.1 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-2020-8945?

Check the references section for vendor advisories and patches from gpgme_project. Update gpgme 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-2020-8945?

CyberStrike's AI-powered security agents can automatically detect CVE-2020-8945 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.