llSourcell Doctor-Dignity up to 3f2ffb6c892f13b50a708d05900d3227acb40ded chat_module.py _get_lib_module model_lib code injection

Summaryinfo

A vulnerability was found in llSourcell Doctor-Dignity up to 3f2ffb6c892f13b50a708d05900d3227acb40ded. It has been classified as critical. Affected is the function _get_lib_module of the file python/mlc_chat/chat_module.py. This manipulation of the argument model_lib causes code injection. This vulnerability is registered as CVE-2026-112140. Remote exploitation of the attack is possible. Furthermore, an exploit is available. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. 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 llSourcell Doctor-Dignity up to 3f2ffb6c892f13b50a708d05900d3227acb40ded. Affected by this vulnerability is the function _get_lib_module of the file python/mlc_chat/chat_module.py. The manipulation of the argument model_lib 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.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-112140. 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. MITRE ATT&CK project uses the attack technique T1059 for this issue.

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.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

• llSourcell

Name

• Doctor-Dignity

Version

• 3f2ffb6c892f13b50a708d05900d3227acb40ded

Website

• Product: https://github.com/llSourcell/Doctor-Dignity/

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Accepted

• Submit #1013205: llSourcell Doctor-Dignity 0.1.dev0 (git commit 3f2ffb6, main HEAD, repository unchanged since 2023-09-20, no tagged releases) Code Injection (by Dem0000000)

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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