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This vulnerability exploits a logic error in Open vSwitch's kernel datapath where length field overflows allow privilege escalation without requiring pre-existing daemon processes. The discovery notably leverages large language models paired with memory-geometry visualizations to identify the bug, highlighting an emerging intersection of AI-assisted research and critical infrastructure security. For readers focusing on system hardening or ML-driven vulnerability detection, this case study offers a concrete example of how advanced reasoning tools can uncover complex kernel-level flaws in networking stacks.
New OVSwrap Linux Vulnerability Lets Attackers Gain Root Access

A newly disclosed Linux kernel vulnerability, tracked as CVE-2026-64531 and dubbed OVSwrap, allows unprivileged local users to escalate privileges to root on a wide range of popular Linux distributions. The flaw lives inside the Open vSwitch (OVS) kernel datapath, a networking component widely used in cloud, container, and virtualization platforms, and was uncovered using an […] The post New OVSwrap Linux Vulnerability Lets Attackers Gain Root Access appeared first on Cyber Security News.
A newly disclosed Linux kernel vulnerability, tracked as CVE-2026-64531 and dubbed OVSwrap, allows unprivileged local users to escalate privileges to root on a wide range of popular Linux distributions. The flaw lives inside the Open vSwitch (OVS) kernel datapath, a networking component widely used in cloud, container, and virtualization platforms, and was uncovered using an experimental…
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