MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem

Malicious package detection has become a critical task in ensuring the security and stability of the PyPI. Existing detection approaches have focused on advancing model selection, evolving from traditional machine learning ML models to large language models LLMs. However, as the complexity of the...

Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection

The decentralized finance DeFi community has grown rapidly in recent years, pushed forward by cryptocurrency enthusiasts interested in the vast untapped potential of new markets. The surge in popularity of cryptocurrency has ushered in a new era of financial crime. Unfortunately, the novelty of t...

CEGA: a Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Graph Neural Networks GNNs have demonstrated remarkable utility across diverse applications, and their growing complexity has made Machine Learning as a Service MLaaS a viable platform for scalable deployment. However, this accessibility also exposes GNN to serious security threats, most notably...

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...

SmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization

End-point monitoring solutions are widely deployed in today's enterprise environments to support advanced attack detection and investigation. These monitors continuously record system-level activities as audit logs and provide deep visibility into security events. Unfortunately, existing methods ...

MM-AttacKG: a Multimodal Approach to Attack Graph Construction with Large Language Models

Cyber Threat Intelligence CTI parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense efficiency, including attack graph construction, intelligence fusion and indicator extraction. Among these research topic...

Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis Via Intermediate Representation and Language Model

Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown promise, these classifiers are often susceptible to adversarial attacks, undermining their reliability. To address this...

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-2022-50109

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...

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...

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

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 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...

Linux Kernel Security Vulnerabilities

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...

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...

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...