CVE-2019-18466
5.5 · MEDIUMAn issue was discovered in Podman in libpod before 1.6.0.
Overview
CVE-2019-18466 is a medium-severity vulnerability. It was published on October 28, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical description
An issue was discovered in Podman in libpod before 1.6.0. It resolves a symlink in the host context during a copy operation from the container to the host, because an undesired glob operation occurs. An attacker could create a container image containing particular symlinks that, when copied by a victim user to the host filesystem, may overwrite existing files with others from the host.
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.
References
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Frequently asked questions
What is CVE-2019-18466?
CVE-2019-18466 is a medium-severity vulnerability. It was published on October 28, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
How severe is CVE-2019-18466?
This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2019-18466?
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-2019-18466?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-18466 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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