CVE-2024-53880

NVIDIA Triton Inference Server contains a vulnerability in the model loading API, where a user could cause an integer overflow or wraparound error by loading a model with an extra-large file size that overflows an internal variable. A successful exploit of this vulnerability might lead to denial ...

CVE-2024-53880

NVIDIA Triton Inference Server contains a vulnerability in the model loading API, where a user could cause an integer overflow or wraparound error by loading a model with an extra-large file size that overflows an internal variable. A successful exploit of this vulnerability might lead to denial ...

CVE-2024-53880

The CVE-2024-53880 entry pertains to NVIDIA Triton Inference Server. A vulnerability in the model loading API can trigger an integer overflow/wraparound when loading a model with an extra-large file size, overflow an internal variable, and potentially cause a denial of service. Exploitation detai...

CVE-2024-53880: Integer Overflow or Wraparound

NVIDIA Triton Inference Server contains a vulnerability in the model loading API, where a user could cause an integer overflow or wraparound error by loading a model with an extra-large file size that overflows an internal variable. A successful exploit of this vulnerability might lead to denial ...

CVE-2025-24357 vLLM allows a malicious model RCE by torch.load in hf_model_weights_iterator

vLLM is a library for LLM inference and serving. vllm/modelexecutor/weightutils.py implements hfmodelweightsiterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weightsonly parameter defaults to False. When torch.load loads malicious...

CVE-2025-24357

The CVE-2025-24357 issue centers on vLLM’s hf_model_weights_iterator (vllm/model_executor/weight_utils.py) which loads checkpoints via torch.load with weights_only defaulting to False. If malicious pickle data is unpickled, arbitrary code could execute on the host. This vulnerability is highlight...

CVE-2024-49375 Remote Code Execution via Remote Model Loading in Rasa

Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on t...

CVE-2024-49375 Remote Code Execution via Remote Model Loading in Rasa

Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on t...

GHSA-CPV4-GGRR-7J9V Rasa Allows Remote Code Execution via Remote Model Loading

Vulnerability A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: - The HTTP API must be enabled on the...

Rasa Allows Remote Code Execution via Remote Model Loading

Vulnerability A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: - The HTTP API must be enabled on the...

CVE-2024-56455

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56454

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56456

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56454

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56456

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56451

Integer overflow vulnerability during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56452

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56452

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56456

Vulnerability of input parameters not being verified during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability...

CVE-2024-56456

The connected sources describe a vulnerability in the 3D engine module where input parameters used during glTF model loading are not verified. This affects the loading process and is said to potentially impact availability. The sources do not specify affected versions, vendor names, exploit detai...