CVE-2026-9279
Overview
CVE-2026-9279 is a known-severity vulnerability. It was published on June 9, 2026.
Technical Description
Logseq exposes an IPC handler that allows the renderer process to execute shell commands. While an allowlist restricts the command name (e.g. `git`, `pandoc`, `grep`), the argument string is concatenated with the command and passed to `child_process.spawn` with the `shell: true` option, allowing shell metacharacters in the arguments to bypass the allowlist. An attacker with JavaScript execution in the renderer (e.g. via XSS or a malicious plugin) can execute arbitrary shell commands with the privileges of the Logseq process, leading to remote code execution on the host.
While only version v0.10.15 was tested and confirmed as vulnerable, status of other versions is unknown since this issue was not addressed by a patch.
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.
Frequently Asked Questions
What is CVE-2026-9279?
CVE-2026-9279 is a known-severity vulnerability. It was published on June 9, 2026.
How severe is CVE-2026-9279?
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-2026-9279?
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-2026-9279?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-9279 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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