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CVE-2023-31315, known as 'AMD SinkClose', is a high-severity vulnerability (CVSS 7.5) discovered by researchers from IOActive. The vulnerability affects multiple generations of AMD EPYC, Ryzen, and Threadripper processors. Disclosed on August 9, 2024, this flaw allows improper validation in a model specific register (MSR) that could enable a malicious program with ring0 access to modify SMM configuration while SMI lock is enabled (AMD Security Bulletin, CERT-EU).
The SinkClose vulnerability exploits a feature called TClose that AMD incorporated into its chips for backward compatibility with a legacy memory management feature. The flaw affects the System Management Mode (SMM), an execution mode that is more privileged than kernel-level mode. The vulnerability allows attackers to bypass SMM protections and execute code from outside the System Management Random Access Memory (SMRAM). This bypass works even when SMM Lock, a feature designed to prevent unauthorized SMM modifications, is enabled (Dark Reading).
If exploited, the vulnerability could lead to arbitrary code execution at the firmware level, potentially allowing attackers to install nearly undetectable malware or bootkits. The impact is particularly severe as it could enable malware to persist at a level invisible to the operating system, hypervisor, and endpoint detection mechanisms. The vulnerability affects hundreds of millions of devices worldwide with AMD chips (Dark Reading).
AMD has released firmware updates and microcode patches to address this vulnerability. For EPYC datacenter processors, hot-loadable microcode updates are available, while other affected products require firmware/BIOS updates. Users are advised to obtain and apply these updates from their Original Equipment Manufacturers (OEMs) (AMD Security Bulletin).
The security community has drawn parallels between this vulnerability and the 'Memory Sinkhole' vulnerability previously discovered in Intel processors. The discovery has raised concerns about the persistence of legacy features in modern processors and their potential security implications (Dark Reading).
Source: This report was generated using AI
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