CVE-2024-11393

A flaw was found in the MaskFormer model of the Hugging Face Transformers library. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. This flaw allows an attacker to execute code in the context of the current user...

CVE-2024-11392

A flaw was found in the MobileViTV2 model of the Hugging Face Transformers library. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. This flaw allows an attacker to execute code in the context of the current user...

Bootiful Spring Boot 3.4: Spring AI

I love Spring AI. It’s an amazing project designed to bring the patterns and practices of AI engineering to the Spring Boot developer. It’s got clean idiomatic abstractions that’ll make any Sring developer feel right at home, and it has a ton of integrations with all manner of different vector...

Deserialization of Untrusted Data in Hugging Face Transformers

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

GHSA-WRFC-PVP9-MR9G Deserialization of Untrusted Data in Hugging Face Transformers

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

Deserialization of Untrusted Data

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the parsing of model files, due to the lack of proper validation of user-supplied data. This is only exploitab...

Deserialization of Untrusted Data

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the handling of model files, due to the lack of proper validation of user-supplied data. This is only...

PT-2025-6422

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server affected versions not specified Description The issue is related to an integer overflow or wraparound error in the model loading API. This can be triggered by loading a model with an extra-large file size,...

CVE-2024-11393

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

CVE-2024-11394

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

PYSEC-2024-228

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

PYSEC-2024-229

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

CVE-2024-11394 Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

CVE-2024-11394 Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

CVE-2024-11394 Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

CVE-2024-11394

Summary of affected IBM products and CVEs (CVE-2024-11392 / 11393 / 11394) Multiple IBM security bulletins report that Hugging Face Transformers deserialization vulnerabilities may allow remote code execution (RCE) when user-supplied model files are deserialized without proper validation. The CVE...

CVE-2024-11393

CVE-2024-11393 (MaskFormer) is a deserialization-based remote code execution in Hugging Face Transformers. The issue arises from untrusted data in model file parsing, enabling code execution on the caller’s context after user interaction. Public advisories in connected IBM/IBM Cloud Pak for Data ...

CVE-2024-11393 Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

CVE-2024-8822

PDF-XChange Editor U3D File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of PDF-XChange Editor. User interaction is required to exploit this vulnerability in that the target...

CVE-2024-41779

IBM Engineering Systems Design Rhapsody - Model Manager 7.0.2 and 7.0.3 could allow a remote attacker to bypass security restrictions, caused by a race condition. By sending a specially crafted request, an attacker could exploit this vulnerability to remotely execute code...