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CVE-2026-112080: Code Injection in LlamaChinese Llama-Chinese

0
Medium
VulnerabilityCVE-2026-112080cvecve-2026-112080
Published: 10/19/2026 (10/19/2026, 05:00:18 UTC)
Source: CVE Database V5
Vendor/Project: LlamaChinese
Product: Llama-Chinese

Description

CVE-2026-112080 is a code injection vulnerability in the LlamaChinese Llama-Chinese project affecting the function get_class_from_dynamic_module in examples/chat_gradio_no_merge.py. The vulnerability arises from manipulation of the argument base_model_name_or_path, allowing remote code injection. The project uses a rolling release system, and no specific affected or fixed versions are disclosed. The issue was reported early but has not yet been addressed by the vendor. The CVSS 4.0 score is 5.3, indicating medium severity.

CVSS v4.0

Score 5.3medium

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
None
User Interaction
Passive
Vuln. Confidentiality
Low
Vuln. Integrity
Low
Vuln. Availability
Low
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Affected software

LlamaChinese

Llama-Chinese

GitHub Actionsmore threats →ai
llamachinese/Llama-Chinese
pkg:github/llamachinese/Llama-Chinese
CPE configurations
cpe:2.3:a:llamachinese:llama-chinese:*:*:*:*:*:*:*:*

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 10/19/2026, 05:33:16 UTC

Technical Analysis

This vulnerability in LlamaChinese Llama-Chinese involves the function get_class_from_dynamic_module within the Adapter Config component. By manipulating the base_model_name_or_path argument, an attacker can perform code injection remotely. The product's rolling release model means version details for affected or patched releases are not provided. The vendor has been notified but has not responded or released a fix. Exploit code has been made public, though no known exploitation in the wild is reported.

Potential Impact

Successful exploitation allows remote attackers to inject arbitrary code via the base_model_name_or_path argument, potentially compromising the system running LlamaChinese Llama-Chinese. The medium CVSS score reflects moderate impact with low attack complexity and no privileges required, but user interaction is needed. The lack of vendor response and public exploit availability increases risk.

Mitigation Recommendations

No official fix or patch has been released yet, and the vendor has not responded to the issue report. Users should monitor the vendor's communications for updates. Until a fix is available, avoid exposing the vulnerable function to untrusted inputs or remote users. Consider restricting access or applying additional input validation as a temporary measure. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-10-18T14:09:29.035Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6ad5a83e2cdf04f65610763f

Added to database: 10/19/2026, 05:18:54 UTC

Last enriched: 10/19/2026, 05:33:16 UTC

Last updated: 10/19/2026, 05:33:16 UTC

Views: 8

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