CVE-2026-64494
Overview
CVE-2026-64494 is a known-severity vulnerability. It was published on July 25, 2026.
Technical Description
In the Linux kernel, the following vulnerability has been resolved:
iio: light: gp2ap002: fix runtime PM leak on read error
gp2ap002_read_raw() calls pm_runtime_get_sync() before reading the
lux value, but if gp2ap002_get_lux() fails, it returns directly. This
skips the pm_runtime_put_autosuspend() call at the "out" label,
permanently leaking a runtime PM reference and preventing the device
from autosuspending.
Replace the direct return with a "goto out" to ensure the reference
is properly dropped on the error path.
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-2026-64494?
CVE-2026-64494 is a known-severity vulnerability. It was published on July 25, 2026.
How severe is CVE-2026-64494?
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-2026-64494?
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-2026-64494?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-64494 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.