Xinference is an inference API for running open-source, speech, and multimodal models. In 2.5.0 and earlier, Xinference passes attacker-influenced Llama3 tool-call output to eval() in xinference/model/llm/tool_parsers/llama3_tool_parser.py and xinference/model/llm/utils.py. Requests to /v1/chat/completions with a tools field flow through xinference/api/restful_api.py, xinference/model/llm/transformers/core.py, handle_chat_result_non_streaming(), and _post_process_completion() before extract_tool_calls() or _eval_llama3_chat_arguments() evaluates the model-generated Python expression. An unauthenticated remote attacker can influence that output through a crafted prompt and execute commands in the Xinference server process context. This issue is fixed in version 2.7.0.
References
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History
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Information
Published : 2026-08-21 21:17
Updated : 2026-08-24 20:16
NVD link : CVE-2026-61539
Mitre link : CVE-2026-61539
CVE.ORG link : CVE-2026-61539
JSON object : View
Products Affected
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CWE
CWE-95
Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
