SUSE CVE-2022-50113

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

CVE-2022-50113

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

DEBIAN-CVE-2022-50113

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

DEBIAN-CVE-2022-50109

In the Linux kernel, the following vulnerability has been resolved: video: fbdev: amba-clcd: Fix refcount leak bugs In clcdfbofinitdisplay, we should call ofnodeput for the references returned by ofgraphgetnextendpoint and ofgraphgetremoteportparent which have increased the refcount. Besides, we...

UBUNTU-CVE-2022-50113

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

CVE-2022-50113 ASoc: audio-graph-card2: Fix refcount leak bug in __graph_get_type()

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

CVE-2022-50113

The connected sources indicate CVE-2022-50113 affects the Linux kernel ASoc audio-graph-card2 component, where a refcount leak occurred in __graph_get_type() due to not calling of_node_put() before replacement and before return. The root cause is improper refcount management related to of_get_par...

CVE-2022-50113

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

CVE-2022-50113 ASoc: audio-graph-card2: Fix refcount leak bug in __graph_get_type()

In the Linux kernel, the following vulnerability has been resolved: ASoc: audio-graph-card2: Fix refcount leak bug in graphgettype We should call ofnodeput for the reference before its replacement as it returned by ofgetparent which has increased the refcount. Besides, we should also call ofnodep...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from the audio-graph-card2 driver not releasing node references in graphgettype, which could lead to a reference...

Graph Neural Networks for Jamming Source Localization

Graph-based learning provides a powerful framework for modeling complex relational structures; however, its application within the domain of wireless security remains significantly underexplored. In this work, we introduce the first application of graph-based learning for jamming source...

PT-2025-26039 · Linux · Linux Kernel

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: A refcount leak bug was found in the graph get type function of the Linux kernel's ASoc audio-graph-card2 component. The issue arises because of node put is not called for the referenc...

CVE-2025-3602

Liferay Portal 7.4.0 through 7.4.3.97, and Liferay DXP 2023.Q3.1 through 2023.Q3.2, 7.4 GA through update 92, 7.3 GA through update 35, and 7.2 fix pack 8 through fix pack 20 does not limit the depth of a GraphQL queries, which allows remote attackers to perform denial-of-service DoS attacks on t...

Liferay Portal和Liferay DXP 资源管理错误漏洞

Liferay Portal and Liferay DXP are both products of Liferay, Inc.Liferay Portal is a J2EE based portal solution. The solution uses technologies such as EJB as well as JMS and can be used as a Web publishing and sharing workspace, enterprise collaboration platform, social network, etc. Liferay DXP...

Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories

Indoor positioning systems IPSs are increasingly vital for location-based services in complex multi-storey environments. This study proposes a novel graph-based approach for floor separation using Wi-Fi fingerprint trajectories, addressing the challenge of vertical localization in indoor settings...

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

Graph Convolutional Neural Networks GCNs have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance. Despite the growing demand for cloud-based GCN services, privacy concerns over sensitive graph data remain significant...

[SECURITY] Fedora 42 Update: qt6-qtcharts-6.9.1-1.fc42

Qt Charts module provides a set of easy to use chart components. It uses the Qt Graphics View Framework, therefore charts can be easily integrated to modern user interfaces. Qt Charts can be used as QWidgets, QGra phicsWidget, or QML types. Users can easily create impressive graphs by selecting o...

[SECURITY] Fedora 42 Update: qt6-qtdatavis3d-6.9.1-1.fc42

Qt Data Visualization module provides multiple graph types to visualize data in 3D space both with C++ and Qt Quick 2...

Devil'S Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols

Graph neural networks GNNs have achieved significant success in graph representation learning and have been applied to various domains. However, many real-world graphs contain sensitive personal information, such as user profiles in social networks, raising serious privacy concerns when graph...

AI-Based Software Vulnerability Detection: a Systematic Literature Review

Software vulnerabilities in source code pose serious cybersecurity risks, prompting a shift from traditional detection methods e.g., static analysis, rule-based matching to AI-driven approaches. This study presents a systematic review of software vulnerability detection SVD research from 2018 to...