CVE-2026-19064: Authorization Bypass Through User-Controlled Key

A vulnerability was found in SourceCodester Online Examination & Learning Management System 1.0. This vulnerability affects unknown code of the file /view.php. The manipulation of the argument ID results in authorization bypass. The attack can be launched remotely...

Adaptive Intrusion Detection System Using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation

Network intrusion detection systems IDS trained on fixed traffic snapshots decay silently after deployment as threat distributions shift. Fine-tuning models on new attacks triggers catastrophic forgetting, while retraining from scratch is computationally infeasible. Replay-based continual learnin...

Zero-Trust Federated Learning for Connected Aftermarket Devices

Connected aftermarket devices extend vehicle diagnostics, repair workflows, and over-the-air software maintenance beyond original equipment manufacturer boundaries, yet their heterogeneous ownership and long service life complicate conventional perimeter security. This paper develops Zero Trust...

A Self-Explainable Deep Architecture for Security Applications

Deep learning models have become integral to security applications due to their ability to model complex relationships in data and detect sophisticated threats. However, their complexity makes it difficult to understand how predictions are generated, posing significant challenges for...

CVE-2026-47487

NVIDIA Triton Inference Server for Linux contains a vulnerability where a user could cause files outside the model repository to be read, written to, or modified by providing a path in the model name to the Triton MLflow plugin. A successful exploit of this vulnerability might lead to denial of...

bxploit

BXPLOIT AI-Powered Penetration Testing Framework built on Kim...

AgentAntibody: An Adaptive Immune System for Defending LLM Agents against Prompt Injection

Prompt injection remains a critical threat to LLM agents, yet existing defenses treat each task as a self-contained problem, independent of previous encounters. In practice, user requests are often underspecified: they describe the desired outcome without fully specifying acceptable behavior. An...

FBID: Adaptive Personalized Federated Learning for Robust Out-Of-Distribution Attack Detection in IoT Networks

Personalized Federated Learning PFL has emerged as a promising solution for intrusion detection in heterogeneous IoT environments, as it can improve local adaptation under highly Non-Independent and Identically Distributed non-IID data distributions. However, existing PFL methods often rely on...

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of mobile applications. Although applications are required to undergo malware screening before being published on officia...

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning

Backdoor attacks in multimodal contrastive learning MCL have garnered growing attention in recent years, as many downstream tasks critically depend on pre-trained MCL models. Existing detection-based defenses predominantly rely on the CLIPScore metric, under the assumption that poisoned pairs...

CVE-2026-16563 Academy LMS < 3.8.3 - Subscriber+ Arbitrary Lesson Content Disclosure via lessons REST Endpoint

The Academy LMS WordPress plugin before 3.8.3 does not verify course enrollment or lesson publication status when returning a single lesson through its REST API, allowing users with a self-service student Subscriber-level account to disclose the content of arbitrary lessons, including lessons of...

EUVD-2026-52183

The Academy LMS WordPress plugin before 3.8.3 does not verify course enrollment or lesson publication status when returning a single lesson through its REST API, allowing users with a self-service student Subscriber-level account to disclose the content of arbitrary lessons, including lessons of...

A Multi-Objective AutoML-Based Efficient Intrusion Detection System for EV Charging Networks

Electric Vehicle Charging Systems EVCSs are increasingly connected with Internet of Things IoT devices, which improves charging intelligence but also expands their exposure to cyber-attacks. Intrusion Detection Systems IDSs are essential for securing EV charging networks; however, conventional...

Antares: Foundation Models for Agentic Vulnerability Localization

Vulnerability localization is a fundamental step in software security, requiring models to reason over large codebases and iteratively identify vulnerable implementations. We present Antares, a family of compact language models 350M, 1B, and 3B parameters for agentic vulnerability localization...

TrainShield: Targeted Awareness for Cybersecurity Training

In recent years, cybersecurity threats have increasingly exploited human behaviour rather than purely technical vulnerabilities, exposing the limits of traditional awareness programmes delivered outside real-world contexts. To bridge this gap, we introduce TrainShield, an interaction paradigm for...

hexora v0.3.1

hexora Hexora is a static analysis tool designed to detect malicious and harmful patterns in Python code. It combines a rule-based static analysis engine with a machine-learned model that scores entire source files to classify them as malicious or benign. It can be used to: Audit project...

Performance Analysis of Machine Learning Algorithms for Predicting Malware

Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based antivirus solutions often fail to identify newly emerging malware, leaving systems vulnerable until updated signatures...

On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

Malware detection using Hardware Performance Counters HPC has emerged as a promising solution to improve the security of computing systems as a complement to antivirus software. Hardware-based malware detectors HMD use Machine Learning ML classifiers to detect malicious application patterns. The...

CVE-2026-15006

The Bit integrations – Form Integration, Webhook, Spreadsheets, CRM, LMS & Email Automation plugin for WordPress is vulnerable to Directory Traversal in all versions up to, and including, 2.9.0 via the processAttachment function. This makes it possible for unauthenticated attackers to read the...

CVE-2026-28145

The CVE-2026-28145 entry identifies a broken access control vulnerability in the WordPress plugin MasterStudy LMS (StylemixThemes) affecting versions up to 3.7.39. The issue is described as Insufficient Verification of Data Authenticity, allowing an attacker to manipulate a user’s state. Public r...