EUVD-2025-54832

Malicious code in diverse-jade-bobcat npm...

EUVD-2025-54829

Malicious code in diverse-scarlet-lungfish npm...

EUVD-2025-54831

Malicious code in diverse-moccasin-marmoset npm...

EUVD-2025-54830

Malicious code in diverse-pink-clam npm...

MAL-2025-55912 Malicious code in diverse_whale_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector c8e247943930f0188606198fb5925030251c058af45f348b0da0e5d31aa57550 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Frequency Diverse (FD)-RIS-Enhanced Covert Communications: Defense against Wiretapping Via Joint Distance-Angle Beamforming

In response to the security blind zone challenges faced by traditional reconfigurable intelligent surface RIS-aided covert communication CC systems, the joint distance-angle beamforming capability of frequency diverse RIS FD-RIS shows significant potential for addressing these limitations...

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection

Over the last decade, machine learning has been extensively applied to identify malicious Android applications. However, such approaches remain vulnerable against adversarial examples, i.e., examples that are subtly manipulated to fool a machine learning model into making incorrect predictions...

RedTWIZ: Diverse LLM Red Teaming Via Adaptive Attack Planning

This paper presents the vision, scientific contributions, and technical details of RedTWIZ: an adaptive and diverse multi-turn red teaming framework, to audit the robustness of Large Language Models LLMs in AI-assisted software development. Our work is driven by three major research streams: 1...

PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites

Phishing attacks continue to evolve, with cloaking techniques posing a significant challenge to detection efforts. Cloaking allows attackers to display phishing sites only to specific users while presenting legitimate pages to security crawlers, rendering traditional detection systems ineffective...

MalVol-25: a Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation

This paper addresses the critical need for high-quality malware datasets that support advanced analysis techniques, particularly machine learning and agentic AI frameworks. Existing datasets often lack diversity, comprehensive labelling, and the complexity necessary for effective machine learning...

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?

Adversarial examples are small and often imperceptible perturbations crafted to fool machine learning models. These attacks seriously threaten the reliability of deep neural networks, especially in security-sensitive domains. Evasion attacks, a form of adversarial attack where input is modified a...

Training RL Agents for Multi-Objective Network Defense Tasks

Open-ended learning OEL -- which emphasizes training agents that achieve broad capability over narrow competency -- is emerging as a paradigm to develop artificial intelligence AI agents to achieve robustness and generalization. However, despite promising results that demonstrate the benefits of...

Sentinel: SOTA Model to Protect against Prompt Injections

Large Language Models LLMs are increasingly powerful but remain vulnerable to prompt injection attacks, where malicious inputs cause the model to deviate from its intended instructions. This paper introduces Sentinel, a novel detection model, qualifire/prompt-injection-sentinel, based on the...

CISO Spotlight: Mike Wilkes on Building Resilience in an Evolving Threat Landscape

Mike Wilkes has had a career many cybersecurity professionals could only dream of. An adjunct professor, former CISO of Marvel and MLS, member of the World Economic Forum, drummer, and board member at the National Jazz Museum in Harlem, his interests and achievements are as eclectic as they are...

Adapting Novelty Towards Generating Antigens for Antivirus Systems

It is well known that anti-malware scanners depend on malware signatures to identify malware. However, even minor modifications to malware code structure results in a change in the malware signature thus enabling the variant to evade detection by scanners. Therefore, there exists the need for a...

LAMDA: a Longitudinal Android Malware Benchmark for Concept Drift Analysis

Machine learning ML-based malware detection systems often fail to account for the dynamic nature of real-world training and test data distributions. In practice, these distributions evolve due to frequent changes in the Android ecosystem, adversarial development of new malware families, and the...

Safe Delta: Consistently Preserving Safety When Fine-Tuning LLMs on Diverse Datasets

Large language models LLMs have shown great potential as general-purpose AI assistants across various domains. To fully leverage this potential in specific applications, many companies provide fine-tuning API services, enabling users to upload their own data for LLM customization. However,...

Ubuntu 20.04 LTS : Linux kernel (IBM) vulnerabilities (USN-7458-1)

"The remote Ubuntu 20.04 LTS host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7458-1 advisory. Attila Szsz discovered that the HFS+ file system implementation in the Linux Kernel contained a heap overflow vulnerability. An attacker could use a...

Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: a Theoretical Framework and Algorithmic Instantiation

Whitepaper called Seeking Flat Minima Over Diverse Surrogates For Improved Adversarial Transferability: A Theoretical Framework And Algorithmic Instantiation...

Women’s History Month: Why different perspectives in cybersecurity and AI matter more than ever before

This Women’s History Month serves as a crucial moment for us to lead and continue to pave the way for a more inclusive future. I am truly honored to support my amazing women colleagues who continue to excel in their careers and am grateful to have so many allies who have extended their hands to...