596 matches found
amlsec
Identificación Automatizada de Riesgos de Seguridad en Sistemas de Producción Ciberfísicos Utilizando Datos de Ingeniería Basados en AutomationML Este prototipo implementa los métodos presentados en las siguientes dos publicaciones: 1. Eckhart, M., Ekelhart, A., & Weippl, E. R. 2020. Automated...
Not the Coyote, but the Road Runner: The Reality of Autonomous AI Attacks
Autonomous AI security threats aren't novel super-weapons. They're relentless, low-tech attacks that never stop. Learn why traditional defenses fail...
Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology
Brain-computer interfaces BCIs are a class of diverse hardware modalities, associated software, and connected devices which are widely used in a variety of fields, including neurosurgery, biomedical data analysis, and neuroimaging. Recent years have seen rapid advancements in BCI technology, and...
Beyond Wireless Security: Covert Communications in Large Language Model-Enabled Edge Networks
Large language model LLM-enabled edge networks LLMENs offer mobile users high-quality and low-latency AI-generated content services in the 6G era. However, unlike typical edge networks, LLMENs present unique security challenges due to the inherent complexity of LLMs, their high computational...
Security Threats and Their Impact on Blockchain Interoperability: Identification and Countermeasures
Blockchain interoperability enables independent blockchain systems to communicate and exchange assets across heterogeneous networks. However, the lack of comprehensive security mechanisms remains a critical weakness -- one that attackers have already exploited to cause hundreds of millions of...
esp_rfid_tool_v2_pwn
esprfidtoolv2pwn qscXploit is watching you... 👁️🗨️ I...
Security and Privacy in O-RAN for 6G: A Comprehensive Review of Threats and Mitigation Approaches
Open Radio Access Network O-RAN is a major advancement in the telecommunications field, providing standardized interfaces that promote interoperability between different vendors' technologies, thereby enhancing network flexibility and reducing operational expenses. By leveraging cutting-edge...
Detecting and analyzing prompt abuse in AI tools
This second post in our AI Application Security series is all about moving from planning to practice. AI Application Series 1: Security considerations when adopting AI tools established how AI adoption expands the attack surface and our threat-modelling guidance on the Microsoft security blog...
CVE-2025-6596
Improper Neutralization of Input During Web Page Generation XSS or 'Cross-site Scripting' vulnerability in Wikimedia Foundation Vector. This vulnerability is associated with program files resources/skins.Vector.Js/portlets.Js, resources/skins.Vector.Legacy.Js/portlets.Js. This issue affects Vecto...
A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and Small Unmanned Aerial Systems (SUAS)
The rapid growth of small Unmanned Aerial Systems sUAS for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating within the emerging UAS Traffic Management UTM framework, these lightweight and highly networked platforms depend on secure...
From Agent2Agent Prompt Injection to Runtime Self-Defense: How Wallarm Redefines Agentic AI Security
Is an AI-to-AI attack scenario a science fiction possibility only for blockbusters like the Terminator series of movies? Well, maybe not! Researchers recently discovered that one AI agent can “inject malicious instructions into a conversation, hiding them among otherwise benign client requests an...
Software Supply Chain Security of Web3
Web3 applications, built on blockchain technology, manage billions of dollars in digital assets through decentralized applications dApps and smart contracts. These systems rely on complex, software supply chains that introduce significant security vulnerabilities. This paper examines the software...
Robustness of LLM-Enabled Vehicle Trajectory Prediction under Data Security Threats
The integration of large language models LLMs into automated driving systems has opened new possibilities for reasoning and decision-making by transforming complex driving contexts into language-understandable representations. Recent studies demonstrate that fine-tuned LLMs can accurately predict...
EUVD-2008-3024
Malware in sbrugna...
EUVD-2008-4788
Malware in sbrugna...
EUVD-2006-3557
Malware in sbrugna...
EUVD-2008-5420
Malware in sbrugna...
EUVD-2008-6509
Malware in sbrugna...