MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation

Face Morphing Attack Detection MAD is a critical challenge in face recognition security, where attackers can fool systems by interpolating the identity information of two or more individuals into a single face image, resulting in samples that can be verified as belonging to multiple identities by...

Secure MmWave Beamforming with Proactive-ISAC Defense against Beam-Stealing Attacks

Millimeter-wave mmWave communication systems face increasing susceptibility to advanced beam-stealing attacks, posing a significant physical layer security threat. This paper introduces a novel framework employing an advanced Deep Reinforcement Learning DRL agent for proactive and adaptive defens...

Malleability-Resistant Encrypted Control System with Disturbance Compensation and Real-Time Attack Detection

This study proposes an encrypted PID control system with a disturbance observer DOB using a keyed-homomorphic encryption KHE scheme, aiming to achieve control performance while providing resistance to malleability-based attacks. The controller integrates a DOB with a PID structure to compensate f...

GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics

The Interpretable Generalization IG mechanism recently published in IEEE Transactions on Information Forensics and Security delivers state-of-the-art, evidence-based intrusion detection by discovering coherent normal and attack patterns through exhaustive intersect-and-subset operations-yet its...

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 ...

Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence

In recent years, the adoption of cloud services has been expanding at an unprecedented rate. As more and more organizations migrate or deploy their businesses to the cloud, a multitude of related cybersecurity incidents such as data breaches are on the rise. Many inherent attributes of cloud...

Mitigating Data Poisoning Attacks to Local Differential Privacy

The distributed nature of local differential privacy LDP invites data poisoning attacks and poses unforeseen threats to the underlying LDP-supported applications. In this paper, we propose a comprehensive mitigation framework for popular frequency estimation, which contains a suite of novel...

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning

The rapid global adoption of electric vehicles EVs has established electric vehicle supply equipment EVSE as a critical component of smart grid infrastructure. While essential for ensuring reliable energy delivery and accessibility, EVSE systems face significant cybersecurity challenges, includin...

Attack Effect Model Based Malicious Behavior Detection

Traditional security detection methods face three key challenges: inadequate data collection that misses critical security events, resource-intensive monitoring systems, and poor detection algorithms with high false positive rates. We present FEAD Focus-Enhanced Attack Detection, a framework that...

AI in Cybersecurity: How AI Is Impacting the Fight Against Cybercrime

AI is transforming cybersecurity. Explore how hackers use AI for cybercrimes and how cybersecurity experts use AI to prevent, detect, and respond to attacks...

DataSentinel: a Game-Theoretic Detection of Prompt Injection Attacks

LLM-integrated applications and agents are vulnerable to prompt injection attacks, where an attacker injects prompts into their inputs to induce attacker-desired outputs. A detection method aims to determine whether a given input is contaminated by an injected prompt. However, existing detection...

Exploit for CVE-2025-29927

CVE-2025-29927 - Next.js Auth Bypass PoC Este es un Proof o...

VIMU: Effective Physics-Based Realtime Detection and Recovery against Stealthy Attacks on UAVs

Sensor attacks on robotic vehicles have become pervasive and manipulative. Their latest advancements exploit sensor and detector characteristics to bypass detection. Recent security efforts have leveraged the physics-based model to detect or mitigate sensor attacks. However, these approaches are...

How Scalping Bots Exploited a Vulnerable API to Disrupt Online Retail Sales

In the fast-paced world of online retail, where customer satisfaction and availability are paramount, a sudden attack by scalping bots can disrupt operations, inflate costs, and damage reputation. A North American Online Retailer faced a month-long bot attack that targeted their inventory system,...

Kubernetes Audit Log “Gotchas”

How to overcome challenges and security gaps when using K8s audit logs for forensics and attack detection...

Memory corruption vulnerabilities in Suricata and FreeRDP

As a cybersecurity company, before we release our products, we perform penetration tests on them to make sure they are secure. Recently, new versions of KasperskyOS-based products were released, namely Kaspersky Thin Client KTC and Kaspersky IoT Secure Gateway KISG. As part of the pre-release...

Polyfill.io Supply Chain Attack: Malicious JavaScript Injection Puts Over 100k Websites At Risk

Polyfill.io helps web developers achieve cross-browser compatibility by automatically managing necessary polyfills. By adding a script tag to their HTML, developers can ensure that features like JavaScript functions, HTML5 elements, and various APIs work across different browsers. Originally...

OSTE-Web-Log-Analyzer - Automate The Process Of Analyzing Web Server Logs With The Python Web Log Analyzer

Automate the process of analyzing web server logs with the Python Web Log Analyzer. This powerful tool is designed to enhance security by identifying and detecting various types of cyber attacks within your server logs. Stay ahead of potential threats with features that include: Features 1. Attac...

Midnight Blizzard Attack Detection in Trellix Helix

Midnight Blizzard Attack Detection in Trellix Helix By Ian Shefferman · March 18, 2024 On January 25, 2024, Microsoft reported a breach of their systems by the Russian APT group Midnight Blizzard, also known as APT29 and Cozy Bear. The attackers performed a password spray, compromised a Microsoft...

NetworkAssessment - With Wireshark Or TCPdump, You Can Determine Whether There Is Harmful Activity On Your Network Traffic That You Have Recorded On The Network You Monitor

The Network Compromise Assessment Tool is designed to analyze pcap files to detect potential suspicious network traffic. This tool focuses on spotting abnormal activities in the network traffic and searching for suspicious keywords. DNS Tunneling Detection : Identifies potential covert...