WebGuard++: Interpretable Malicious URL Detection Via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT

URL+HTML feature fusion shows promise for robust malicious URL detection, since attacker artifacts persist in DOM structures. However, prior work suffers from four critical shortcomings: 1 incomplete URL modeling, failing to jointly capture lexical patterns and semantic context; 2 HTML graph...

FuncVul: an Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk

Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. While most existing approaches focus on identifying vulnerable packages or libraries, they often overlook the specific...

KCLNet: Physics-Informed Power Flow Prediction Via Constraints Projections

In the modern context of power systems, rapid, scalable, and physically plausible power flow predictions are essential for ensuring the grid's safe and efficient operation. While traditional numerical methods have proven robust, they require extensive computation to maintain physical fidelity und...

Multi-Domain Anomaly Detection in a 5G Network

With the advent of 5G, mobile networks are becoming more dynamic and will therefore present a wider attack surface. To secure these new systems, we propose a multi-domain anomaly detection method that is distinguished by the study of traffic correlation on three dimensions: temporal by analyzing...

KCES: Training-Free Defense for Robust Graph Neural Networks Via Kernel Complexity

Graph Neural Networks GNNs have achieved impressive success across a wide range of graph-based tasks, yet they remain highly vulnerable to small, imperceptible perturbations and adversarial attacks. Although numerous defense methods have been proposed to address these vulnerabilities, many rely o...

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs

Chip manufacturing is a complex process, and to achieve a faster time to market, an increasing number of untrusted third-party tools and designs from around the world are being utilized. The use of these untrusted third party intellectual properties IPs and tools increases the risk of adversaries...

The Redundancy of Full Nodes in Bitcoin: a Network-Theoretic Demonstration of Miner-Centric Propagation Topologies

This paper formally examines the network structure of Bitcoin CORE BTC and Bitcoin Satoshi Vision BSV using complex graph theory to demonstrate that home-hosted full nodes are incapable of participating in or influencing the propagation topology. Leveraging established models such as scale-free...

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...

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...

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...

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...

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...

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...

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 ...

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...

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...

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

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...