esp_rfid_tool_v2_pwn

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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-2008-4788

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EUVD-2006-3557

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EUVD-2016-2790

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EUVD-2008-3024

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EUVD-2021-23446

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EUVD-2015-8335

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EUVD-2008-6509

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EUVD-2011-0857

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EUVD-2014-0551

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EUVD-2008-5420

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EUVD-2015-1442

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EUVD-2012-1227

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