AI - Cybersec Sentinel

AI

A collection of 5 posts

Microsoft Excel Vulnerability CVE-2026-26144 May Allow Data Exposure Through Copilot

Vulnerabilities

Microsoft Excel Vulnerability CVE-2026-26144 May Allow Data Exposure Through Copilot

Threat Group – Unknown / Opportunistic Threat Actors Threat Type – Information Disclosure Vulnerability Exploited Vulnerabilities – CVE-2026-26144 Malware Used – None required (AI-assisted data exfiltration via Copilot Agent) Threat Score – 7.2 🔴 High – The vulnerability enables zero interaction data leakage through an automated AI agent integrated into Microsoft Office. The flaw can be triggered

Koske AI generated malware hides in panda images to mine cryptocurrency

Koske AI generated malware hides in panda images to mine cryptocurrency

Koske AI generated malware hides in panda images to mine cryptocurrency Threat actor: Unknown – opportunistic attackers exploiting misconfigured JupyterLab servers Threat type: AI‑assisted Linux malware for cryptomining Exploited weakness: Unauthenticated and misconfigured JupyterLab server exposure Malware used: Koske (rootkit and shell script), with associated miners such as ccminer Last

Beyond WormGPT – Offline Xanthorox AI Platform Enables Multimodal Cyberattacks

Beyond WormGPT – Offline Xanthorox AI Platform Enables Multimodal Cyberattacks

Threat Group - Unknown Cybercrime Syndicates Threat Type - Malicious AI Platform Exploited Vulnerabilities - None (Self-contained toolkit) Malware Used - Xanthorox Coder output (various strains) Threat Score - 🔥 Critical (9.5/10) – Due to its offline operation, modular architecture, and use by threat actors as an advanced AI-based hacking

The AI Deception: How Poisoned LLMs Can Trigger System Outages

The AI Deception: How Poisoned LLMs Can Trigger System Outages

Large Language Models (LLMs), a type of AI model, are rapidly changing the landscape of cybersecurity. These sophisticated algorithms can analyse vast amounts of data, identify patterns, and generate responses with remarkable accuracy. However, this reliance on AI also introduces new vulnerabilities. One of the most concerning is the potential

Staying Ahead of AI-Driven Cyber Threats with a Multi-Layered Defense Approach

Staying Ahead of AI-Driven Cyber Threats with a Multi-Layered Defense Approach

Introduction: The Rise of AI-Generated Malware As artificial intelligence (AI) continues to evolve, its applications in the field of cybersecurity have become a double-edged sword. On one side, AI enhances the capabilities of defense systems, helping organizations detect, prevent, and mitigate threats faster than ever before. On the other side,