TLDR:
- Two critical vulnerabilities (CVE-2024-0087 and CVE-2024-0088) found in NVIDIA’s Triton Inference Server allow for remote code execution and arbitrary address writing.
- Exploiting these flaws could lead to unauthorized access, data theft, and manipulation of AI model results, requiring urgent patching and enhanced security measures.
Two critical vulnerabilities have been discovered in NVIDIA’s Triton Inference Server, allowing attackers to execute remote code and write arbitrary addresses. The first vulnerability, CVE-2024-0087, involves the log configuration interface, while the second, CVE-2024-0088, stems from inadequate parameter validation in shared memory handling. These vulnerabilities pose significant risks to AI model security and data privacy, highlighting the importance of robust AI security measures. Companies using Triton Server must apply patches and strengthen security protocols to mitigate these threats and ensure the security of their AI infrastructure.