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Microsoft June 2026 Patch Tuesday Fixes 206 Flaws and 3 Zero-Days
F5 adds AI-powered threat detection and API security for on-premises environments
F5 has introduced new web application and API protection (WAAP) capabilities for its Application Delivery and Security Platform. The company said the updates are intended to address a threat landscape in which AI models can accelerate the time between vulnerability discovery and exploitation, giving attackers faster access to offensive capabilities. The new features expand the AI-powered web application firewall (WAF) functionality in F5 Distributed Cloud Services. “Frontier AI has collapsed the window between discovery and … More →
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Anthropic’s Claude Fable 5 is out for public use, with safeguards for high-risk requests
Days after publishing research on how advanced AI systems could amplify cyber operations in the wrong hands, Anthropic released Claude Fable 5, a Mythos-class model for general use. “Releasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage,” Anthropic wrote. The company said Mythos-class models possess advanced cybersecurity and research biology capabilities that can provide information and guidance beyond what is … More →
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CVE-2026-9019 | brechtvds Easy Image Collage Plugin up to 1.13.6 on WordPress update_post_meta cross site scripting (EUVD-2026-35993)
CVE-2026-8613 | smub aThemes Addons for Elementor Plugin up to 1.1.8 on WordPress Posts Timeline Widget cross site scripting (EUVD-2026-35996)
CVE-2026-8853 | websoudan MW WP Form Plugin up to 5.1.3 on WordPress update_post_meta memo cross site scripting (EUVD-2026-35995)
CVE-2026-10721 | Concrete CMS up to 9.5.1 unserialize deserialization (EUVD-2026-35994)
Киберпогода от Positive Technologies
Unpacking SMB cyber-readiness – and what makes or breaks it
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2026-06微软漏洞通告
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Алиса в стране ИИ. Чат-бот «Яндекса» вошёл в тройку самых популярных нейросетей в России
“AI Worms”, researchers demonstrate autonomous malware capable of adapting to any online device
Every set of AI guardrails can be broken by the right prompt
Companies that build AI systems wrap them in guardrails meant to block harmful output, including deepfakes, malware, and instructions for making biological weapons or illicit drugs. When a user prompts the system for such content, the guardrails are designed to flag the request and refuse. A new mathematical proof sets a limit on how secure those guardrails can ever be. Apostol Vassilev, a senior scientist at the National Institute of Standards and Technology, published the … More →
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