
Meta recently addressed a critical security vulnerability in its Llama large language model (LLM) framework that posed significant risks of remote code execution (RCE). This high-severity flaw, identified as CVE-2024-50050, threatened the llama-stack inference server by allowing potential attackers to execute arbitrary code if exploited. The issue was rooted in the remote deserialization of untrusted data via the Python pickle