CVE-2025-32061
8.8 · HIGHOverview
CVE-2025-32061 is a high-severity vulnerability. It was published on February 15, 2026 and has a CVSS 3.1 base score of 8.8 (HIGH).
This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
The specific flaw exists within the Bluetooth stack developed by Alps Alpine of the Infotainment ECU manufactured by Bosch. The issue results from the lack of proper boundary validation of user-supplied data, which can result in a stack-based buffer overflow when receiving a specific packet on the established upper layer L2CAP channel. An attacker can leverage this vulnerability to obtain remote code execution on the Infotainment ECU with root privileges.
First identified on Nissan Leaf ZE1 manufactured in 2020.
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-2025-32061?
CVE-2025-32061 is a high-severity vulnerability. It was published on February 15, 2026 and has a CVSS 3.1 base score of 8.8 (HIGH).
How severe is CVE-2025-32061?
This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. 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-2025-32061?
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-2025-32061?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-32061 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.
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