cugraph-cu11 (25.6.0), cugraph-cu12 (25.6.0) +17 more potentially affected by CVE-2026-23528 via distributed (2025.5.0)

distributed PYPI version 2025.5.0 is affected by a known vulnerability. The following packages have a transitive dependency on distributed and may be impacted: - cugraph-cu11 25.6.0 - cugraph-cu12 25.6.0 - cugraph-dgl-cu11 25.6.0 - cugraph-dgl-cu12 25.6.0 - cugraph-pyg-cu11 25.6.0 -...

cugraph-cu11 (>=25.4.0, <=25.4.1), cugraph-cu12 (>=25.4.0, <=25.4.1) +21 more potentially affected by CVE-2026-23528 via distributed (2025.2.0)

distributed PYPI version 2025.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on distributed and may be impacted: - cugraph-cu11 =25.4.0, =25.4.0, =25.4.0, =25.4.0, =25.4.0, =25.4.0, =25.5.0, =25.5.0, =25.5.1 - cuxfilter-cu11 25.4.0 - cuxfilter-cu12...

EUVD-2024-15939

Malicious code in bioql PyPI...

CVE-2024-0140

NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure...

CVE-2024-0140

NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure...

CVE-2024-0140

NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure...

CVE-2024-0140

NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure...

CVE-2024-0140

CVE-2024-0140 affects NVIDIA RAPIDS cuDF and cuML (deserialization of untrusted data). Connected documents specify vulnerable components as RAPIDS libraries and describe consequences: code execution, data tampering, denial of service, and information disclosure. The NVIDIA security bulletin (NVID...

CVE-2024-0140: Deserialization of Untrusted Data

NVIDIA RAPIDS contains a vulnerability in cuDF and cuML, where a user could cause a deserialization of untrusted data issue. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, and information disclosure...

NVIDIA RAPIDS 代码问题漏洞

NVIDIA RAPIDS is a suite of open source software libraries and APIs from NVIDIA Corporation for executing data science pipelines entirely on GPUs. NVIDIA RAPIDS suffers from a code issue vulnerability that stems from a vulnerability in the included cuDF and cuML, which could lead to untrusted dat...

Security Bulletin: NVIDIA RAPIDS AI - January 2025

NVIDIA has released a software update for NVIDIA® RAPIDS AI cuDF and cuML to address the issues below. To protect your system, download and install this software update from the RAPIDS AI Machine Learning Library. Go to NVIDIA Product Security. Details This section provides a summary of potential...