llama.cpp — Vulnerabilities & Security Advisories 5

Llama.cpp serves as an open-source inference engine for running large language models locally on consumer hardware. Historically, it has faced vulnerabilities including remote code execution, cross-site scripting, and privilege escalation, primarily stemming from improper input validation and memory management issues. The project maintains a moderate security posture with five CVEs recorded to date, addressing issues like buffer overflows and unsafe deserialization. While no major security incidents have been widely reported, the project's C implementation and community-driven development require ongoing vigilance against memory corruption flaws and unsafe handling of untrusted model inputs.