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Cyberattack disrupting OnSolve CodeRED emergency alert systems used by U.S. public safety agencies

Crisis24’s OnSolve CodeRED Exposes Data and Disrupts Alerts

A cyberattack on Crisis24’s OnSolve CodeRED platform disrupted emergency alerts for cities, counties, police and fire agencies across the U.S. The INC Ransom group claims responsibility, with stolen resident data, clear-text passwords and a rollback to older backups now forcing agencies to rebuild their notification capabilities and review credential hygiene.

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Illustration of a Money Mart storefront and digital database icons overlaid with a red ransomware warning and masked hacker silhouette, representing the Everest ransomware attack and consumer financial data breach

Inside the Money Mart ransomware and Everest’s latest data-leak

Everest claims it breached Money Mart and stole more than 80,000 internal files from a “National Money Mart Company DataBase,” turning the attack into a major consumer financial data breach. This analysis explains how the Money Mart ransomware attack unfolded, why a payday-loan provider makes an attractive target, and what the incident means for customers and other financial-services firms.

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Custom illustration showing a hacker silhouette controlling cloud-service icons (OneDrive, Yandex Cloud) overlaying an IT supply chain network diagram.

APT31 Targets Russian IT via Yandex Cloud & OneDrive C2

Between 2024 and 2025, China-linked APT31 conducted a stealthy espionage campaign targeting Russian IT contractors and government integrators. The group masked its command-and-control using legitimate cloud services such as Yandex Cloud and OneDrive, deployed loaders like CloudyLoader via DLL side-loading, and maintained long dwell times within compromised networks. This article decodes APT31’s tool-kit, tactics and persistence model, and offers detection and response guidance for defenders.

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AI inference vulnerabilities in Meta, Nvidia, Microsoft and vLLM exposed through ShadowMQ, alongside a Cursor IDE compromise via rogue MCP servers

Serious AI Bugs Expose Meta, Nvidia and Microsoft Inference

Researchers uncovered serious AI bugs across Meta, Nvidia, Microsoft and open-source inference frameworks after tracking a ShadowMQ deserialization pattern built on ZeroMQ and Python pickle. At the same time, new research shows how Cursor’s AI IDE can be hijacked via rogue MCP servers, turning developer workstations into high-value malware delivery platforms if teams ignore AI supply-chain security.

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