Researchers Find Serious AI Bugs Exposing Meta, Nvidia, and Microsoft Inference Frameworks
Nov 14, 2025
Artificial Intelligence / Vulnerability
Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang. "These vulnerabilities all traced back to the same root cause: the overlooked unsafe use of ZeroMQ (ZMQ) and Python's pickle deserialization," Oligo Security researcher Avi Lumelsky said in a report published Thursday. At its core, the issue stems from what has been described as a pattern called ShadowMQ , in which the insecure deserialization logic has propagated to several projects as a result of code reuse. The root cause is a vulnerability in Meta's Llama large language model (LLM) framework ( CVE-2024-50050 , CVSS score: 6.3/9.3) that was patched by the company last October. Specifically, it involved the use of ZeroMQ's recv_pyobj() method to deserialize incoming data using Python's pickle module. ...
