computation-graph (0.0.5), dug-test (>=1.0.0, <=1.0.13) potentially affected by CVE-2025-71176 via pytest (5.4.0)

pytest PYPI version 5.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on pytest and may be impacted: - computation-graph 0.0.5 - dug-test =1.0.0, =1.0.13 Source cves: CVE-2025-71176 Source advisory: OSV:PYSEC-2026-1845...

computation-graph (0.0.5), dug-test (>=1.0.0, <=1.0.13) potentially affected by CVE-2025-71176 via pytest (5.4.0)

pytest PYPI version 5.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on pytest and may be impacted: - computation-graph 0.0.5 - dug-test =1.0.0, =1.0.13 Source cves: CVE-2025-71176 Source advisory: OSV:GHSA-6W46-J5RX-G56G...

EUVD-2020-0218

Malware in sbrugna...

[SECURITY] Fedora 40 Update: onnx-1.14.1-3.fc40

onnx provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types...

[SECURITY] Fedora 39 Update: onnx-1.14.0-9.fc39

onnx provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types...

[SECURITY] Fedora 40 Update: onnx-1.14.1-2.fc40

onnx provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types...

Fedora: Security Advisory (FEDORA-2024-abe1e34fdb)

The remote host is missing an update for the SPDX-FileCopyrightText: 2024 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

CVE-2020-26271

CVE-2020-26271 : TensorFlow contains a heap out-of-bounds access in MakeEdge when wiring graph edges, caused by missing bounds checks on indices into arrays of tensor data. This can lead to uninitialized memory access and, in certain cases, leakage of library addresses. The description notes the ...