[SECURITY] Fedora 44 Update: kf6-kconfig-6.25.0-1.fc44

KDE Frameworks 6 Tier 1 addon with advanced configuration system made of two parts: KConfigCore and KConfigGui...

[SECURITY] Fedora 44 Update: kf6-kcodecs-6.25.0-1.fc44

KDE Frameworks 6 Tier 1 addon with string manipulation methods...

[SECURITY] Fedora 44 Update: kf6-kauth-6.25.0-1.fc44

KDE Frameworks 6 module to perform actions as privileged user...

[SECURITY] Fedora 44 Update: kf6-6.25.0-1.fc44

Filesystem and RPM macros for KDE Frameworks 6...

[SECURITY] Fedora 44 Update: kf6-karchive-6.25.0-1.fc44

KDE Frameworks 6 Tier 1 addon with archive functions...

[SECURITY] Fedora 44 Update: kf6-baloo-6.25.0-1.fc44

A Tier 3 KDE Frameworks 6 module that provides indexing and search functional ity...

[SECURITY] Fedora 44 Update: extra-cmake-modules-6.25.0-1.fc44

Additional modules for CMake build system needed by KDE Frameworks...

Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain

Large language model LLM agents increasingly rely on third-party API routers to dispatch tool-calling requests across multiple upstream providers. These routers operate as application-layer proxies with full plaintext access to every in-flight JSON payload, yet no provider enforces cryptographic...

Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions

CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on Commercial Off-The-Shelf COTS components and open-source software has introduced significant cybersecurity vulnerabilities. Ensuring the cybersecuri...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

The Quantum-Cryptographic Co-Evolution

As quantum computing matures toward the realization of Cryptographically Relevant Quantum Computers CRQC, global cryptographic infrastructure faces an existential threat. This paper introduces a two-dimensional coordinate system to map the co-evolution of cryptographic resilience x-axis and...

Computer Vision Frameworks: Features And Future Trends

Computer vision frameworks explained, features, types, and future trends. Learn how AI tools process images, train models, and…...

Security Considerations for Multi-Agent Systems

Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI...

Exploits and vulnerabilities in Q4 2025

The fourth quarter of 2025 went down as one of the most intense periods on record for high-profile, critical vulnerability disclosures, hitting popular libraries and mainstream applications. Several of these vulnerabilities were picked up by attackers and exploited in the wild almost immediately...

Cybersecurity Tech Predictions for 2026: Operating in a World of Permanent Instability

In 2025, navigating the digital seas still felt like a matter of direction. Organizations charted routes, watched the horizon, and adjusted course to reach safe harbors of resilience, trust, and compliance. In 2026, the seas are no longer calm between storms. Cybersecurity now unfolds in a state ...

GPU-Fuzz: Finding Memory Errors in Deep Learning Frameworks

GPU memory errors are a critical threat to deep learning DL frameworks, leading to crashes or even security issues. We introduce GPU-Fuzz, a fuzzer locating these issues efficiently by modeling operator parameters as formal constraints. GPU-Fuzz utilizes a constraint solver to generate test cases...

Case study: Securing AI application supply chains

The rapid adoption of AI applications, including agents, orchestrators, and autonomous workflows, represents a significant shift in how software systems are built and operated. Unlike traditional applications, these systems are active participants in execution. They make decisions, invoke tools,...

Hackathon Projects Show AI Wellness Apps Can Leak Sensitive User Info

As emotional computing applications proliferate, the security threats they face require frameworks beyond traditional approaches...

Gamifying Cyber Governance: A Virtual Escape Room to Transform Cybersecurity Policy Education

Serious games are gaining popularity as effective teaching and learning tools, providing engaging, interactive, and practical experiences for students. Gamified learning experiences, such as virtual escape rooms, have emerged as powerful tools in bridging theory and practice, fostering deeper...

When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent

Web agents, powered by large language models LLMs, are increasingly deployed to automate complex web interactions. The rise of open-source frameworks e.g., Browser Use, Skyvern-AI has accelerated adoption, but also broadened the attack surface. While prior research has focused on model threats su...