{"id":9067,"date":"2026-11-15T17:25:21","date_gmt":"2026-11-15T17:25:21","guid":{"rendered":"https:\/\/i10xnews.kinsta.cloud\/artex-ai-hacking-platform-used-in-cybercrime-campaigns"},"modified":"2026-11-15T17:25:21","modified_gmt":"2026-11-15T17:25:21","slug":"artex-ai-hacking-platform-used-in-cybercrime-campaigns","status":"publish","type":"post","link":"https:\/\/i10x.ai\/news\/artex-ai-hacking-platform-used-in-cybercrime-campaigns","title":{"rendered":"ARTEX AI Hacking Platform Used in Cybercrime Campaigns"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Check Point Research has documented widespread abuse of ARTEX, a Chinese open-source AI-powered penetration testing platform, by cybercriminals conducting fully autonomous attacks. The researchers found 2,557 systems hosting or having hosted ARTEX panels, with 1,608 live and publicly available instances at the time of the research.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u26a1 Quick Take<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What:<\/strong> ARTEX, an AI-powered penetration testing platform, is being used by cybercriminals to conduct fully autonomous attacks using large language models to coordinate multiple AI agents.<\/li><li><strong>Scale:<\/strong> Over 1,800 publicly exposed ARTEX instances found, with 10 misconfigured to expose full databases showing operator activity.<\/li><li><strong>Targets:<\/strong> Attacks focused on stealing Apple code-signing certificates from gray-market shops, gaming accounts, and conducting denial-of-service attacks against gambling sites.<\/li><li><strong>Models used:<\/strong> Chinese models dominate, with Deepseek Flash family most prevalent; operators switched to Chinese models when Anthropic&#8217;s Opus 5.5 guardrails blocked attacks.<\/li><li><strong>Autonomy:<\/strong> After initial goal setup, threat actors barely interacted with their agent fleets; attacks ran almost fully autonomously.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">In plain English<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cybercriminals are using an AI tool called ARTEX to hack websites and servers automatically. The tool uses AI models (computer programs that can think and plan) to carry out attacks without human help. Researchers found more than 1,800 of these hacking systems running on the internet. The criminals are using them to steal digital certificates used to sign iPhone apps and break into gaming websites. If you are an ordinary internet user, you do not need to do anything, but if you run a website or online service, you should check your security logs for unusual automated scanning activity.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What happened<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">ARTEX is a Chinese open-source platform that uses large language models to coordinate multiple AI agents that plan penetration tests, run security tools, and record evidence of potential vulnerabilities. The tool was originally designed to help security teams assess systems they own or are authorized to test. After the tool was observed in attacks against South Korean banks, its developer made the project closed-source on October 8, 2026. However, various maintained forks and backups of the original repository keep the tool publicly available to threat actors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Check Point Research found 2,557 systems hosting or having hosted ARTEX panels, with 1,608 live and publicly available instances at the time of the research. Ten instances were misconfigured to expose the full ARTEX database, giving insight into how actors prompted their agents, which models were used, and the exact steps and attacks the agents carried out.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the analyzed 10 instances, Chinese models dominate the share of configured LLMs, with models of the Deepseek Flash family being the most prevalent. American models were configured on 3 different instances. When using Anthropic&#8217;s Opus 5.5, the actor hit guardrails and subsequently switched to more permissive Chinese models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The campaigns targeted various industries, with goals ranging from acquiring cryptocurrency and stealing code-signing certificates or gaming accounts from gray-market infrastructure to carrying out denial-of-service attacks against gambling sites. Almost all of these campaigns can be classified as opportunistic cybercrime with a broad scope instead of a single target.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Campaign details<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One ARTEX operator tasked their agent fleet with compromising gray-market Apple code-signing certificate shops to steal certificates and resell them. The operator ran two ARTEX consoles in parallel for roughly two weeks (from October 14 to October 29, 2026) using the Deepseek v4.1 Flash and Kimi K3.1 Pro models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In total, the operator worked through 36 billion tokens, consisting of 2.13 billion input tokens (cache miss), 33.79 billion input tokens (cache hit), and 473.9 million output tokens. According to the official DeepSeek API prices at the time of writing, this amounts to a cost somewhere between $700 and $1,500.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The operator targeted a total of 10 different signing shops, with the goal of the task set to get a p12 certificate + password. Once an agent managed to break into a signing shop, the agents searched for the certificate library, a database full of .p12 files and their respective plaintext passwords.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once that database was obtained, agents ran a validation pipeline on each compromised key: validate the password by trying to decrypt the key, check if the private key matches the certificate, check Apple&#8217;s OCSP for revocation, check the expiration date, and check if there is a matching In-House profile.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To gain initial access to the signing shop&#8217;s infrastructure, the agents used hardcoded administrator passwords in SPA JavaScript bundles and missing authentication vulnerabilities.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What it means<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Using agentic hacking frameworks like ARTEX, threat actors can carry out attacks at a previously impossible speed, on a broad scale and without any technical knowledge, opening the field to a large set of people. Besides ARTEX, other frameworks such as CyberStrike, Cairn or PentAGI offer similar capabilities. Check Point Research also observed various other custom agentic hacking frameworks in the wild.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The observed ARTEX instances were running in default configurations using default tools. To get around WAF restrictions, IP blocks and obscure traffic, many operators configured their agents to use residential proxies. One operator created a dedicated skill for proxy usage.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most attacks were fully autonomous besides the initial goal setup. Threat actors barely interacted with their agent fleets. Operators mostly only interacted with their agents to check the progress of the current operations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sources<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/research.checkpoint.com\/2026\/hacking-on-autopilot-inside-artex-cybercrime-campaigns\/\" target=\"_blank\" rel=\"noreferrer noopener\">Check Point Research: Hacking on Autopilot: Inside ARTEX Cybercrime Campaigns<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Check Point Research found over 1,800 publicly exposed instances of ARTEX, an AI-powered penetration testing platform, being used by cybercriminals to carry out fully autonomous attacks against signing certificate shops, gaming infrastructure, and gambling sites.<\/p>\n","protected":false},"author":2,"featured_media":9066,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"paper_title":"","paper_url":"","pdf_url":"","doi":"","arxiv_id":"","authors":"","institutions":"","paper_date":"","venue":"","peer_reviewed":false,"code_url":"","data_url":"","funding_coi":"","figure_license":"","paper_license":"","replication":"","study_models":"","study_sample":"","footnotes":"","_yoast_wpseo_primary_category":"65","_nx_sec_severity":"high","_nx_sec_affected":"Gray-market Apple code-signing certificate shops, gaming infrastructure, gambling sites","_nx_sec_status":"actively-exploited","_nx_sec_kicker":"URGENT: AI Agents Hack Autonomously","_nx_sec_type":"ai-attacks","_nx_sec_vendor":"ARTEX","_nx_sec_fixed":"","_nx_sec_action":"Monitor security logs for unusual automated scanning and exploitation attempts"},"categories":[14,65,12,28],"tags":[],"companies":[],"products":[],"class_list":["post-9067","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agents","category-ai-security","category-policy-safety","category-security-defense"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ARTEX AI Hacking Platform Used in Cybercrime Campaigns<\/title>\n<meta name=\"description\" content=\"ARTEX AI hacking platform used by cybercriminals in autonomous attacks. 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