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CVE-2024-34359 (CVSSv3: 9.7) is a critical vulnerability in the Jinja2 template engine within the llama_cpp_python package, used in AI applications. The inadequate security measures in Jinja2 allow attackers to inject malicious templates that can execute arbitrary code on the host system. The vulnerability was discovered by retr0reg, who also provided a proof-of-concept exploit.
This vulnerability affects individual privacy and organizational operational integrity. The llama_cpp_python package is widely used in trusted LLM sites, with millions of downloads. The risk associated with this vulnerability is substantial, potentially impacting numerous language models and AI applications.
The issue has been resolved in version 0.2.72 of the llama_cpp_python package, which includes enhanced sandboxing and input validation measures.
If you or your organization uses AI technology with Large Language Models, verify whether your models include the llama_cpp_python package. If they do, update to the latest version (0.2.72) immediately.
Exploitation of this vulnerability can lead to significant consequences, including:
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