CVE-2025-65888

A dimension validation flaw in the flow.empty component of OneFlow 0.9.0 allows attackers to cause a Denial of Service DoS via a negative or excessively large dimension value...

EUVD-2025-206481

A dimension validation flaw in the flow.empty component of OneFlow 0.9.0 allows attackers to cause a Denial of Service DoS via a negative or excessively large dimension value...

CVE-2025-65888

A dimension validation flaw in the flow.empty component of OneFlow 0.9.0 allows attackers to cause a Denial of Service DoS via a negative or excessively large dimension value...

CVE-2025-65888

A dimension validation flaw in the flow.empty component of OneFlow 0.9.0 allows attackers to cause a Denial of Service DoS via a negative or excessively large dimension value...

CVE-2025-65888

The entries for CVE-2025-65888 describe a concrete flaw in OneFlow 0.9.0: a dimension validation issue in the flow.empty() component that allows a Denial of Service when given a negative or excessively large dimension value. The vulnerability is supported across multiple feeds (NVD, Red Hat, CIRC...

Oneflow security vulnerabilities

OneFlow is an open-source deep learning framework developed by OneFlow. Version 0.9.0 of OneFlow contains a security vulnerability. This vulnerability stems from a dimension validation flaw in the flow.empty component, which may allow denial-of-service attacks through negative values or excessive...

PT-2026-5140

A dimension validation flaw in the flow.empty component of OneFlow 0.9.0 allows attackers to cause a Denial of Service DoS via a negative or excessively large dimension value...

vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

Summary Users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. Details T...

CVE-2026-22773 vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

PT-2026-2260

Name of the Vulnerable Software and Affected Versions vLLM versions 0.6.4 through 0.11.9 Description vLLM is an inference and serving engine for large language models LLMs. Users can cause the vLLM engine to crash when serving multimodal models that utilize the Idefics3 vision model implementatio...

vLLM 安全漏洞

vLLM is vLLM open source a high throughput and memory efficient inference and service engine for LLM. A security vulnerability exists in vLLM version 0.6.4 up to and including version 0.12.0, which stems from the fact that sending specially crafted 1x1 pixel images results in a tensor dimension...

Security Parameter Analysis of the LINEture Post-Quantum Digital Signature Scheme

This paper presents a comprehensive cryptographic analysis of the security parameters of the LINEture post-quantum digital signature scheme, which is constructed using matrix algebra over elementary abelian 2-groups. We investigate the influence of three principal parameters. First, the word size...

CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

Heap-based Buffer Overflow

Overview Affected versions of this package are vulnerable to Heap-based Buffer Overflow in the parsing of dimension names. An attacker can achieve arbitrary code execution by enticing a user to open a specially crafted file or visit a malicious page, which leads to improper validation of...

DEBIAN-CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

UBUNTU-CVE-2025-14935

NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target...

CVE-2025-14935

CVE-2025-14935 affects NSF Unidata NetCDF-C. The flaw is a heap-based buffer overflow in parsing of dimension names caused by insufficient validation of the length of user-supplied data before copying to a fixed-length heap buffer. This can enable remote code execution in the context of the curre...