CVE-2019-12834

In HT2 Labs Learning Locker 3.15.1, it's possible to inject malicious HTML and JavaScript code into the DOM of the website via the PATHINFO to the dashboards/ URI...

Exploit for Off-by-one Error in Sudo_Project Sudo

ExploitForge - AI-Powered Automatic Exploit Generation !Pyt...

PT-2026-1425

Name of the Vulnerable Software and Affected Versions LearnPress – WordPress LMS Plugin versions up to and including 4.3.2 Description The LearnPress – WordPress LMS Plugin for WordPress is susceptible to unauthorized data modification. This is due to a missing capability check within the catch l...

Few-Shot Learning for Security Bug Report Identification

Security bug reports require prompt identification to minimize the window of vulnerability in software systems. Traditional machine learning ML techniques for classifying bug reports to identify security bug reports rely heavily on large amounts of labeled data. However, datasets for security bug...

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection

We present a hybrid framework for adaptive insider-threat detection that tightly integrates multi-agent simulation MAS, layered Security Information and Event Management SIEM correlation, behavioral and communication forensics, trust-aware machine learning, and Theory-of-Mind ToM reasoning...

Quantum AI for Cybersecurity: A Hybrid Quantum-Classical Models for Attack Path Analysis

Modern cyberattacks are increasingly complex, posing significant challenges to classical machine learning methods, particularly when labeled data is limited and feature interactions are highly non-linear. In this study we investigates the potential of hybrid quantum-classical learning to enhance...

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based...

PT-2026-1142

Name of the Vulnerable Software and Affected Versions Cloudflare affected versions not specified Description A buffer overflow exists in a simulated API. The issue is identified with a hypothetical identifier. The risk assessment is medium overall, and mitigation is suggested with patches. The...

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization

Cybersecurity poses considerable problems to Cloud Computing CC, especially regarding Intrusion Detection Systems IDSs, facing difficulties with skewed datasets and suboptimal classification model performance. This study presents the Hybrid Intrusion Detection System HyIDS, an innovative IDS that...

Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-Based LLM Systems

Low-Rank Adaptation LoRA has become a popular solution for fine-tuning large language models LLMs in federated settings, dramatically reducing update costs by introducing trainable low-rank matrices. However, when integrated with frameworks like FedIT, LoRA introduces a critical vulnerability:...

CVE-2025-68982

Missing Authorization vulnerability in designthemes DesignThemes LMS Addon designthemes-lms-addon allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects DesignThemes LMS Addon: from n/a through = 2.6...

VULNEXPO

🔥 VULNEXPO — Vulnerability Detection & Exploitation Framework...

Towards Eco Friendly Cybersecurity: Machine Learning Based Anomaly Detection with Carbon and Energy Metrics

The rising energy footprint of artificial intelligence has become a measurable component of US data center emissions, yet cybersecurity research seldom considers its environmental cost. This study introduces an eco aware anomaly detection framework that unifies machine learning based network...

EUVD-2025-205753

Missing Authorization vulnerability in designthemes DesignThemes LMS Addon designthemes-lms-addon allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects DesignThemes LMS Addon: from n/a through = 2.6...

PT-2025-53872

Name of the Vulnerable Software and Affected Versions DesignThemes LMS Addon versions prior to and including 2.6 Description An authorization issue exists in the DesignThemes LMS Addon due to incorrectly configured access control security levels. This allows for potential exploitation of the...

FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection

This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles...

Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems

Coordinated stealth attacks are a serious cybersecurity threat to distributed generation systems because they modify control and measurement signals while remaining close to normal behavior, making them difficult to detect using standard intrusion detection methods. This study investigates quantu...

cyber-attack-detection-main

🔥 Smart Firewall with Machine Learning WAF + ML Đồ án d...

MeLeMaD: Adaptive Malware Detection Via Chunk-Wise Feature Selection and Meta-Learning

Confronting the substantial challenges of malware detection in cybersecurity necessitates solutions that are both robust and adaptable to the ever-evolving threat environment. The paper introduces Meta Learning Malware Detection MeLeMaD, a novel framework leveraging the adaptability and...

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation

The software supply chain attacks are becoming more and more focused on trusted development and delivery procedures, so the conventional post-build integrity mechanisms cannot be used anymore. The available frameworks like SLSA, SBOM and in toto are majorly used to offer provenance and traceabili...