Live › vulnerability › CVE-2026-112080
Go to dashboardThe Llama-Chinese example chat script passes the base_model_name_or_path argument into get_class_from_dynamic_module in the Adapter Config component, so a crafted value can inject code. A remote attacker can trigger it, and a public exploit exists.
Summary written from the sources below. Check the originals before acting.
First seen by InfraStack 2026-10-23 21:57 UTC. All times on this page are UTC.
Teams that run the Llama-Chinese chat_gradio_no_merge.py example or code derived from it with an adapter config that takes a model path from outside input. Exposure depends on whether the base_model_name_or_path value can be set by a remote user. Teams that only use the library's training or inference code without this example can likely skip it, but the sources do not confirm which other files are affected.
No product ranges from the sources yet.
grep -n get_class_from_dynamic_module examples/chat_gradio_no_merge.pygit rev-parse HEAD against 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9bEach row is the first time that source carried this signal. The analyst’s rows are its own findings.
A vulnerability was found in LlamaChinese Llama-Chinese up to 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9b. The impacted element is the function get_class_from_dynamic_module of the file examples/chat_gradio_no_merge.py of the component Adapter Config. The manipulation of the argument base_model_name_or_path results in code injection. The attack may be performed from remote. The exploit has been made public and could be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The project was informed of the problem early through an issue report but has not responded yet.
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