What’s Vulnerable › Vulnerabilities

CVE-2026-61539: Xinference: Remote code execution via unsafe `eval()` in Llama3 tool-call parsing

• Severity: critical (CVSS 10.0 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 1.2% probability of exploitation in the next 30 days
• Public exploit or detection template: none known
• Published: 2026-08-21 · updated 2026-10-12
• Weakness: CWE-95

Description

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.

Affected products

• xorbitsai inference: before 2.7.0

References

• https://github.com/xorbitsai/inference/commit/1b3d220f342ce68d34cec4586d9409d457dadc42
• https://github.com/xorbitsai/inference/pull/4786
• https://github.com/xorbitsai/inference/releases/tag/v2.7.0
• https://github.com/xorbitsai/inference/security/advisories/GHSA-x2rj-828p-hx9m

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