PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks

As e-commerce platforms develop, fraudulent activities are increasingly emerging, posing significant threats to the security and stability of these platforms. Promotion abuse is one of the fastest-growing types of fraud in recent years and is characterized by users exploiting promotional activiti...

Trend Micro launches new integration with Zscaler to deliver real-time, Risk-Based Zero Trust Access

Discover how Trend Vision One™ integrates with Zscaler to unify detection and access enforcement, accelerate threat containment, reduce dwell time, and deliver seamless Zero Trust protection for modern enterprises...

Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection

The growing scale and sophistication of cyberattacks pose critical challenges to network security, particularly in detecting diverse intrusion types within imbalanced datasets. Traditional intrusion detection systems IDS often struggle to maintain high accuracy across both frequent and rare...

CVE-2025-27259

creationtimestamp| type| source ---|---|--- 2025-10-13 07:13:09+00:00| seen| Telegram/7x74sFZJ1IGtpS9i9fXzmUuaqGXPL3sefumaR12QVcw--10...

Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations

Wi-Fi networks are ubiquitous in both home and enterprise environments, serving as a primary medium for Internet access and forming the backbone of modern IoT ecosystems. However, their inherent vulnerabilities, combined with widespread adoption, create opportunities for malicious actors to gain...

PT-2025-41846

Name of the Vulnerable Software and Affected Versions YouDataSum CPAS Audit Management System versions prior to 4.9 Description The YouDataSum CPAS Audit Management System is susceptible to SQL Injection due to inadequate input validation. This allows remote, unauthenticated attackers to execute...

A Graph-Attentive LSTM Model for Malicious URL Detection

Malicious URLs pose significant security risks as they facilitate phishing attacks, distribute malware, and empower attackers to deface websites. Blacklist detection methods fail to identify new or obfuscated URLs because they depend on pre-existing patterns. This work presents a hybrid deep...

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN

As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adaptive detection approach utilizing a dynamically tuned Density Based Spatial Clustering of Applications with Noise...

Bridging Semantics and Structure for Software Vulnerability Detection Using Hybrid Network Models

Software vulnerabilities remain a persistent risk, yet static and dynamic analyses often overlook structural dependencies that shape insecure behaviors. Viewing programs as heterogeneous graphs, we capture control- and data-flow relations as complex interaction networks. Our hybrid framework...

Exploit for Use After Free in Redis

This is a PoC exploit for CVE-2025-49844, a high-risk vulnerability in Redis database. The exploit is a GUI-based tool called "CVE-2025-49844RediShell漏洞检查软件v2.0" that helps enterprises efficiently detect and fix vulnerabilities. The tool is an iteration of the original...

The AI SOC Stack of 2026: What Sets Top-Tier Platforms Apart?

The SOC of 2026 will no longer be a human-only battlefield. As organizations scale and threats evolve in sophistication and velocity, a new generation of AI-powered agents is reshaping how Security Operations Centers SOCs detect, respond, and adapt. But not all AI SOC platforms are created equal...

Exploit for CVE-2021-4191

Nuclei POC Duplicate Detection Tool This tool is written in G...

CVE-2025-11526

creationtimestamp| type| source ---|---|--- 2025-10-09 14:08:45+00:00| seen| https://infosec.exchange/users/cR0w/statuses/115344600217579534...

New Machine Learning Approaches for Intrusion Detection in ADS-B

With the growing reliance on the vulnerable Automatic Dependent Surveillance-Broadcast ADS-B protocol in air traffic management ATM, ensuring security is critical. This study investigates emerging machine learning models and training strategies to improve AI-based intrusion detection systems IDS...

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software

Cooperative, Connected and Automated Mobility CCAM are complex cyber-physical systems CPS that integrate computation, communication, and control in safety-critical environments. At their core, System-on-Chip SoC platforms consolidate processing units, communication interfaces, AI accelerators, an...

A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN

The open radio access network O-RAN enables modular, intelligent, and programmable 5G network architectures through the adoption of software-defined networking, network function virtualization, and implementation of standardized open interfaces. However, one of the security concerns for O-RAN,...

Ubuntu: Security Advisory (USN-7795-3)

The remote host is missing an update for the SPDX-FileCopyrightText: 2025 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...

LabExploit

LiveExploit SECURITY RESEARCH TOOL - USE RESPONSIBLY A...

CVE-2025-10222

creationtimestamp| type| source ---|---|--- 2025-10-08 12:09:36+00:00| seen| Telegram/XF-4RgrKKfVldXNJULEUgMw60CodFE4RqOqC6guHTsufE...

Distilling Lightweight Language Models for C/C++ Vulnerabilities

The increasing complexity of modern software systems exacerbates the prevalence of security vulnerabilities, posing risks of severe breaches and substantial economic loss. Consequently, robust code vulnerability detection is essential for software security. While Large Language Models LLMs have...