<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automated-Attacks on CuraSec</title><link>https://curasec.metacog.co.kr/tags/automated-attacks/</link><description>Recent content in Automated-Attacks on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 03 Nov 2026 18:24:39 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/automated-attacks/index.xml" rel="self" type="application/rss+xml"/><item><title>Chinese hackers use ARTEX AI framework in attacks on 200+ orgs</title><link>https://curasec.metacog.co.kr/insights/2026-11-03-chinese-hackers-use-artex-ai-in-automated-attacks-against-20/</link><pubDate>Tue, 03 Nov 2026 18:24:39 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-11-03-chinese-hackers-use-artex-ai-in-automated-attacks-against-20/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> No specific CVEs or vulnerable software identified — ARTEX is an AI-driven attack orchestration layer, not a flaw in something you patch. Worth understanding how AI-automated probing differs from traditional scanning to inform your detection and hardening posture.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Plan:&lt;/strong> Active multi-nation campaign with 200+ victims warrants developing detections for AI-automated pentesting behaviors (rapid sequential probing, multi-stage autonomous exploitation chains); no IOCs are published in this report, so queue detection research on ARTEX TTPs for this quarter rather than immediate hunting.&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Chinese state-aligned use of open-source AI pentesting tooling at scale (200+ orgs, 14 countries) is a useful data point for board briefings on AI-powered adversarial risk and for scoping AI-in-security policy discussions, but no specific vendor exposure or near-term regulatory action is implied.&lt;/li>
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