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 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

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...

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...

CVE-2022-50113: Undefined Security Weakness

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...

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...

Astra Linux – Vulnerability in Linux 6.12

In the Linux kernel, the following vulnerabilities have been resolved: ASoC: simple-card-utils: Fixed the pointer check in graphutilParseLinkDirectionation. Now, it checks whether the passed pointers are valid before writing to them. This also fixes a USBAN warning: UBSAN: Invalid-load in...

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...

PT-2025-33805

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains an issue where the BPF JSET conditional jump is not correctly handled during control flow graph CFG computation. This can lead to incorrect live register and...

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-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...

[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...

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...

WGLE:Backdoor-Free and Multi-Bit Black-Box Watermarking for Graph Neural Networks

Graph Neural Networks GNNs are increasingly deployed in graph-related applications, making ownership verification critical to protect their intellectual property against model theft. Fingerprinting and black-box watermarking are two main methods. However, the former relies on determining model...

Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions

Smart contracts, integral to blockchain ecosystems, enable decentralized applications to execute predefined operations without intermediaries. Their ability to enforce trustless interactions has made them a core component of platforms such as Ethereum. Vulnerabilities such as numerical overflows,...

VulnCheck KEV: CVE-2023-48728

A cross-site scripting xss vulnerability exists in the functiongetOpenGraph videoName functionality of WWBN AVideo 11.6 and dev master commit 3c6bb3ff. A specially crafted HTTP request can lead to arbitrary Javascript execution. An attacker can get a user to visit a webpage to trigger this...

VulnCheck KEV: CVE-2024-52763

A cross-site scripting XSS vulnerability in the component /graphallperiods.php of Ganglia-web v3.73 to v3.75 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the "g" parameter...