LlamaChinese Llama-Chinese up to 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9b Adapter Config chat_gradio_no_merge.py get_class_from_dynamic_module base_model_name_or_path code injection

Summaryinfo

A vulnerability identified as critical has been detected in LlamaChinese Llama-Chinese up to 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9b. This affects the function get_class_from_dynamic_module of the file examples/chat_gradio_no_merge.py of the component Adapter Config. This manipulation of the argument base_model_name_or_path causes code injection. The identification of this vulnerability is CVE-2026-112080. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.

Detailsinfo

A vulnerability classified as critical was found in LlamaChinese Llama-Chinese up to 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9b. Affected by this vulnerability 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 with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-112080. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

It is possible to download the exploit at github.com. It is declared as proof-of-concept. The project was informed of the problem early through an issue report but has not responded yet.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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Productinfo

Vendor

• LlamaChinese

Name

• Llama-Chinese

Version

• 6fa0fffb0dd82fe3cfaa1449ee54a5806d26ae9b

Website

• Product: https://github.com/LlamaChinese/Llama-Chinese/

CPE 2.3info

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CPE 2.2info

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Submitinfo

Accepted

• Submit #1009706: LlamaChinese Llama-Chinese commit 6fa0fff Code Injection (by r1ck9)

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