CVE-2026-46432 LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, LMDeploy is vulnerable to arbitrary code execution through hardcoded "trustremotecode=True" in multiple HuggingFace model-loading call sites. At time of publication, there are no...

CVE-2026-46432

CVE-2026-46432 (LMDeploy) affects lmdeploy

CVE-2026-4944

A flaw was found in vllm-project/vllm. A hardcoded setting in the model implementation files bypasses the user's explicit security configuration, which is intended to prevent the execution of remote code. This allows a remote attacker to achieve remote code execution by providing a malicious mode...

CVE-2026-47117

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

CVE-2026-4372

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...

CVE-2026-5241

A flaw was found in python-transformers. An attacker can exploit this vulnerability by providing a malicious model repository. During model initialization, the trustremotecode parameter, intended to prevent remote code execution, is overridden by untrusted configuration data. This allows the...

CVE-2026-5241

A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the trustremotecode parameter, intended to prevent remote code execution, is...

CVE-2026-5241

A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the trustremotecode parameter, intended to prevent remote code execution, is...

PT-2026-45946

Name of the Vulnerable Software and Affected Versions huggingface/transformers version 5.2.0 Description A flaw in the LightGlue model loading path allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue occurs because the trust remote code...

Hugging Face Transformers 安全漏洞

Hugging Face Transformers is an open-source framework developed by Hugging Face for defining state-of-the-art machine learning models. It covers text, visual, audio, and multimodal models, and can be used for both inference and training. Version 5.2.0 of Hugging Face Transformers contains a...

EUVD-2026-33942

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

CVE-2026-47117

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

CVE-2026-47117

OpenMed prior to version 1.5.2 is affected by a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher uses broad substring matching on the user-supplied model_name, enabling a value like attacker/foo-privacy-filter-bar to route to a path t...

CVE-2026-4944 Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control

vllm-project/vllm version 0.14.1 contains a vulnerability where the trustremotecode=True parameter is hardcoded in two model implementation files vllm/modelexecutor/models/nemotronvl.py and vllm/modelexecutor/models/kimik25.py. This bypasses the user's explicit --trust-remote-code=False setting,...

EUVD-2026-32979

vllm-project/vllm version 0.14.1 contains a vulnerability where the trustremotecode=True parameter is hardcoded in two model implementation files vllm/modelexecutor/models/nemotronvl.py and vllm/modelexecutor/models/kimik25.py. This bypasses the user's explicit --trust-remote-code=False setting,...

CVE-2026-4944

vllm-project/vllm version 0.14.1 contains a vulnerability where the trustremotecode=True parameter is hardcoded in two model implementation files vllm/modelexecutor/models/nemotronvl.py and vllm/modelexecutor/models/kimik25.py. This bypasses the user's explicit --trust-remote-code=False setting,...

vLLM 安全漏洞

vLLM is an open-source LLM-based inference and service engine that features high throughput and efficient memory usage. Version vLLM 0.14.1 contains a security vulnerability caused by the hardcoding of the trustremotecode=True parameter, which may lead to remote code execution...

PT-2026-44487

vllm-project/vllm version 0.14.1 contains a vulnerability where the trust remote code=True parameter is hardcoded in two model implementation files vllm/model executor/models/nemotron vl.py and vllm/model executor/models/kimi k25.py. This bypasses the user's explicit --trust-remote-code=False...

CVE-2026-5817

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

GHSA-29PF-2H5F-8G72 HuggingFace transformers vulnerable to remote code execution

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...