FKIE_CVE-2026-61539
Vulnerability from fkie_nvd - Published: 2026-08-21 21:17 - Updated: 2026-10-12 16:10
Severity
Summary
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
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "inference",
"vendor": "xorbitsai",
"versions": [
{
"status": "affected",
"version": "\u003c 2.7.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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."
},
{
"lang": "es",
"value": "Xinference es una API de inferencia para ejecutar modelos de c\u00f3digo abierto, de voz y multimodales. En las versiones 2.5.0 y anteriores, Xinference pasa la salida de llamadas a herramientas de Llama3 influenciada por el atacante a eval() en xinference/model/llm/tool_parsers/llama3_tool_parser.py y xinference/model/llm/utils.py. Las solicitudes a /v1/chat/completions con un campo \u0027tools\u0027 fluyen a trav\u00e9s de xinference/api/restful_api.py, xinference/model/llm/transformers/core.py, handle_chat_result_non_streaming() y _post_process_completion() antes de que extract_tool_calls() o _eval_llama3_chat_arguments() eval\u00faen la expresi\u00f3n Python generada por el modelo. Un atacante remoto no autenticado puede influenciar esa salida a trav\u00e9s de un prompt manipulado y ejecutar comandos en el contexto del proceso del servidor de Xinference. Este problema se ha solucionado en la versi\u00f3n 2.7.0."
}
],
"id": "CVE-2026-61539",
"lastModified": "2026-10-12T16:10:00.220",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-61539",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-24T19:45:03.839039Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-21T21:17:00.867",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/xorbitsai/inference/commit/1b3d220f342ce68d34cec4586d9409d457dadc42"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/xorbitsai/inference/pull/4786"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/xorbitsai/inference/releases/tag/v2.7.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/xorbitsai/inference/security/advisories/GHSA-x2rj-828p-hx9m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-95"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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