POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage

Microelectronic systems are widely used in many sensitive applications e.g., manufacturing, energy, defense. These systems increasingly handle sensitive data e.g., encryption key and are vulnerable to diverse threats, such as, power side-channel attacks, which infer sensitive data through dynamic...

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems

The increasing digitization of smart grids has improved operational efficiency but also introduced new cybersecurity vulnerabilities, such as False Data Injection Attacks FDIAs targeting Automatic Generation Control AGC systems. While machine learning ML and deep learning DL models have shown...

DECE Software Geodi 跨站脚本漏洞

DECE Software Geodi is an AI and NLP-powered data discovery, classification, and search platform from DECE Software, UK. DECE Software Geodi suffers from a cross-site scripting vulnerability that stems from improper input neutralization and could lead to a cross-site scripting attack...

CHAMP: a Configurable, Hot-Swappable Edge Architecture for Adaptive Biometric Tasks

What if you could piece together your own custom biometrics and AI analysis system, a bit like LEGO blocks? We aim to bring that technology to field operators in the field who require flexible, high-performance edge AI system that can be adapted on a moment's notice. This paper introduces CHAMP...

Chaindesk 跨站脚本漏洞

Chaindesk is an AI chatbot for building and deploying private data-based chatbots from Chaindesk, France. A cross-site scripting vulnerability exists in Chaindesk version 2025-05-26 and earlier, which stems from a system prompt in the AI agent that can embed a malicious script payload, leading to...

Assessing the Role of AI in Zero Trust

By 2025, Zero Trust has evolved from a conceptual framework into an essential pillar of modern security. No longer merely theoretical, it's now a requirement that organizations must adopt. A robust, defensible architecture built on Zero Trust principles does more than satisfy baseline regulatory...

QSAF: a Novel Mitigation Framework for Cognitive Degradation in Agentic AI

We introduce Cognitive Degradation as a novel vulnerability class in agentic AI systems. Unlike traditional adversarial external threats such as prompt injection, these failures originate internally, arising from memory starvation, planner recursion, context flooding, and output suppression. Thes...

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework

Frontier AI systems are rapidly advancing in their capabilities to persuade, deceive, and influence human behaviour, with current models already demonstrating human-level persuasion and strategic deception in specific contexts. Humans are often the weakest link in cybersecurity systems, and a...

Exploiting Jailbreaking Vulnerabilities in Generative AI to Bypass Ethical Safeguards for Facilitating Phishing Attacks

The advent of advanced Generative AI GenAI models such as DeepSeek and ChatGPT has significantly reshaped the cybersecurity landscape, introducing both promising opportunities and critical risks. This study investigates how GenAI powered chatbot services can be exploited via jailbreaking techniqu...

From Semantic Web and MAS to Agentic AI: a Unified Narrative of the Web of Agents

The concept of the Web of Agents WoA, which transforms the static, document-centric Web into an environment of autonomous agents acting on users' behalf, has attracted growing interest as large language models LLMs become more capable. However, research in this area is still fragmented across...

4 Arrested Over Scattered Spider Hacking Spree

Plus: An “explosion” of AI-generated child abuse images is taking over the web, a Russian professional basketball player is arrested on ransomware charges, and more...

Why AppSec and CloudSec Belong Together in the Age of AI

AI accelerates development— and risk shouldn't be a blocker to innovation. Bridging AppSec and CloudSec with shared context and workflows is key to keeping up...

Autonomous AI-Based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation

Critical infrastructure systems, including energy grids, healthcare facilities, transportation networks, and water distribution systems, are pivotal to societal stability and economic resilience. However, the increasing interconnectivity of these systems exposes them to various cyber threats,...

Clio-X: AWeb3 Solution for Privacy-Preserving AI Access to Digital Archives

As archives turn to artificial intelligence to manage growing volumes of digital records, privacy risks inherent in current AI data practices raise critical concerns about data sovereignty and ethical accountability. This paper explores how privacy-enhancing technologies PETs and Web3 architectur...

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends

Due to the broadcast nature of wireless communications, physical-layer security has attracted increasing concerns from both academia and industry. Artificial noise AN, as one of the promising physical-layer security techniques, is capable of utilizing the spatial degree-of-freedom of channels to...

SEO Poisoning Campaign Targets 8,500+ SMB Users with Malware Disguised as AI Tools

Cybersecurity researchers have disclosed a malicious campaign that leverages search engine optimization SEO poisoning techniques to deliver a known malware loader called Oyster aka Broomstick or CleanUpLoader. The malvertising activity, per Arctic Wolf, promotes fake websites hosting trojanized...

Hiding Prompt Injections in Academic Papers

Academic papers were found to contain hidden instructions to LLMs: It discovered such prompts in 17 articles, whose lead authors are affiliated with 14 institutions including Japan's Waseda University, South Korea's KAIST, China's Peking University and the National University of Singapore, as wel...

Red Teaming AI Red Teaming

Red teaming has evolved from its origins in military applications to become a widely adopted methodology in cybersecurity and AI. In this paper, we take a critical look at the practice of AI red teaming. We argue that despite its current popularity in AI governance, there exists a significant gap...

Evaluating the Critical Risks of Amazon'S Nova Premier under the Frontier Model Safety Framework

Nova Premier is Amazon's most capable multimodal foundation model and teacher for model distillation. It processes text, images, and video with a one-million-token context window, enabling analysis of large codebases, 400-page documents, and 90-minute videos in a single prompt. We present the fir...

A week in security (June 23 – June 29)

Last week on Malwarebytes Labs: Gmail’s multi-factor authentication bypassed by hackers to pull off targeted attacks Thousands of private camera feeds found online. Make sure yours isn’t one of them Sextortion email scammers increase their "Hello pervert" money demands Many data brokers are faili...