CVE-2026-61539

Published: Ago 21, 2026 Last Modified: Ago 21, 2026

ExploitDB:

Other exploit source:

Google Dorks:

CRITICAL 10,0

Source: [email protected]

Attack Vector: network

Attack Complexity: low

Privileges Required: none

User Interaction: none

Scope: changed

Confidentiality: high

Integrity: high

Availability: high

Description

AI Translation Available

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.

Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')

Incomplete

Abstraction: Variant Structure: Simple

Common Consequences

Security Scopes Affected:

Confidentiality Access Control Integrity Availability Other Non-Repudiation

Potential Impacts:

Read Files Or Directories Read Application Data Bypass Protection Mechanism Gain Privileges Or Assume Identity Execute Unauthorized Code Or Commands Hide Activities