xorbitsai inference up to 2.11.x Model Loader core.py AutoTokenizer.from_pretrained trust_remote_code code injection

Summaryinfo

A vulnerability, which was classified as critical, was found in xorbitsai inference up to 2.11.x. This issue affects the function AutoTokenizer.from_pretrained of the file xinference/model/rerank/core.py of the component Model Loader. The manipulation of the argument trust_remote_code results in code injection. This vulnerability is reported as CVE-2026-76841. The attack can be launched remotely. No exploit exists.

Detailsinfo

A vulnerability, which was classified as critical, was found in xorbitsai inference up to 2.11.x. Affected is the function AutoTokenizer.from_pretrained of the file xinference/model/rerank/core.py of the component Model Loader. The manipulation of the argument trust_remote_code with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trust_remote_code=True as a literal or as an unconditional default: RerankModel._get_tokenizer in xinference/model/rerank/core.py, SentenceTransformerRerankModel.load in xinference/model/rerank/sentence_transformers/core.py, SentenceTransformerEmbeddingModel.load in xinference/model/embedding/sentence_transformers/core.py, FlagEmbeddingModel.load in xinference/model/embedding/flag/core.py, and two sites in xinference/model/llm/transformers/core.py where PytorchModel._sanitize_model_config and PytorchModel._get_components default the value to True. Because a caller with model launch access can register a model whose type is unknown and supply an arbitrary model path, the server reaches _auto_detect_type and then AutoTokenizer.from_pretrained, which imports and executes Python declared by the model directory's own tokenizer_config.json auto_map, running attacker-supplied code with the privileges of the worker process. Version 2.12.0 gates every site behind allow_trust_remote_code and the XINFERENCE_TRUST_REMOTE_CODE setting, permitting remote code only for bundled built-in models.

The advisory is available at github.com. This vulnerability is traded as CVE-2026-76841 since 08/19/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1059 by the MITRE ATT&CK project.

Upgrading to version 2.12.0 eliminates this vulnerability.

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Productinfo

Vendor

• xorbitsai

Name

• inference

Version

• 2.0
• 2.1
• 2.2
• 2.3
• 2.4
• 2.5
• 2.6
• 2.7
• 2.8
• 2.9
• 2.10
• 2.11

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CPE 2.2info

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