CVE-2026-53759
Overview
CVE-2026-53759 is a known-severity vulnerability. It was published on August 18, 2026.
Technical Description
linuxfabrik-lib provides Python modules for database access, caching, shell execution, and API integrations. Prior to version 4.2.0, db_sqlite.py created SQLite databases at predictable paths in the shared /tmp directory and followed attacker-created symbolic links at those paths. An attacker who controls a local monitoring account can create a symlink such as /tmp/linuxfabrik-monitoring-plugins-docker-stats.db and then trigger a sudo-authorized plugin, causing the root process to create or modify the symlink target. The primitive can overwrite arbitrary paths, cause denial of service, or manipulate an existing SQLite database through a crafted rollback journal or write-ahead log. The Monitoring Plugins integration also moved plugin caches through lib.db_sqlite.get_db_path() so they use the secured per-user directory. This issue is fixed in version 4.2.0.
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
Frequently Asked Questions
What is CVE-2026-53759?
CVE-2026-53759 is a known-severity vulnerability. It was published on August 18, 2026.
How severe is CVE-2026-53759?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-53759?
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-2026-53759?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-53759 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.
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