Vulnerabilidades de Xorbitsai
CVEs publicadas que afetam produtos de Xorbitsai: 3 registro(s), com severidade, exploração e correções.
CVE-2026-49950
Crítica · 9.8
CWE-502 13/10/2026
Xorbits Xoscar 0.11.2 Unauthenticated Deserialization RCE via Actor Pool
Xorbits Xoscar through 0.11.2 contains an unauthenticated deserialization vulnerability that allows remote attackers to execute arbitrary code by sending crafted data over the actor-pool TCP channel. Attackers can exploit SocketChannel.recv() passing unvalidated data to cloudpickle.loads(), which triggers pickle __reduce__ gadget execution before message type validation, achieving remote code execution as the server process which commonly runs as root on GPU nodes.
CVE-2026-76841
Alta · 8.8
CWE-94 24/08/2026
Xinference through 2.11.0 Remote Code Execution via Hardcoded trust_remote_code in Model Loaders
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.
CVE-2026-61539
Crítica · 10.0
CWE-95 21/08/2026
Xinference: Remote code execution via unsafe `eval()` in Llama3 tool-call parsing
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.