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CaptiveCrunch: Midnight Blizzard Weaponizes Hotel Wi-Fi Captive Portals to Steal Microsoft 365 Credentials
Zscaler details CaptiveCrunch: Midnight Blizzard's Storm-2945 compromises hotel Wi-Fi captive portals to redirect guests and harvest Microsoft 365 credentials via device code phishing.
Zscaler ThreatLabz analyzed the CaptiveCrunch credential theft campaign first reported by Microsoft on July 31. Microsoft attributes the activity to Storm-2945, a sub-cluster of Russia-linked Midnight Blizzard (APT29, Cozy Bear, NOBELIUM, BlueBravo). The actor manipulates DNS and HTTP traffic on captive portal networks at hotels and conference centers, redirecting victims to attacker-controlled infrastructure for Microsoft 365 credential harvesting, device code phishing, and malware delivery. Evidence indicates shared captive portal services were compromised rather than each venue being breached individually.
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Anthropic Says Russian Hackers Used Claude AI to Automate Malware Evasion
Anthropic disrupted Midnight Blizzard campaigns where AI agents automatically rebuilt malware to evade detection, targeting 20+ government and defense organizations.
Anthropic's threat intelligence report documents the Russian state-nexus actor Midnight Blizzard using Claude to automatically monitor, modify, and redeploy malware until it evaded security products. The campaign hit more than 20 organizations, including Ukrainian and European government ministries, defense bodies, embassies, and think tanks, with mailbox theft from two drone component manufacturers and compromise of hotel guest Wi-Fi via DNS hijacking. The report also describes financially motivated groups GTG-50020 and GTG-50021 targeting AI credentials, including a prompt-injection attack on an automated evaluation sandbox that yielded production API keys and attempts to reach a pre-release Claude model across roughly 30 AI companies.
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Hackers abused Claude to extract secrets from 1.8M Android apps
Anthropic reports ShinyHunters, Midnight Blizzard, and GTG-10007 misused Claude to automate credential theft, malware operations, and espionage against dozens of victims.
Anthropic's threat report details how ShinyHunters member 'frkoo' ran a credential-harvesting pipeline on ten AWS EC2 workers that mass-downloaded and decompiled 1.8 million Android APKs, scanning for hardcoded secrets with TruffleHog. In one AI-assisted operation, an actor extracted 2,100+ Azure AD authentication tokens across more than 40 Microsoft tenants in roughly 34 hours, and ShinyHunters affiliates also stole AI API keys and breached a SaaS provider affecting about 200 downstream customers. Russian espionage group Midnight Blizzard used Claude Code skills to automate malware development, phishing, C2, and exfiltration against 20+ government and defense entities, rebuilding malware automatically when detected. Chinese-linked GTG-10007 ran autonomous vulnerability research that uncovered zero-days in a major endpoint security product and hit roughly 50 organizations with confirmed compromises; Anthropic disrupted the abuse and banned the accounts.
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From Hacks to Bioweapons, Claude Misuse Is Now Everywhere
Anthropic reports Claude was misused by Midnight Blizzard, ShinyHunters, disinformation campaigns, and bioweapon attempts; roundup also covers Xinbi takedown.
Anthropic's new report documents eight months of Claude misuse: Russian state-sponsored hackers (Microsoft-named Midnight Blizzard) used it for reconnaissance against Ukrainian and European government networks, stealing data and maintaining access, while ShinyHunters used it across hacking and extortion campaigns, and users attempted bioweapon development. Anthropic says it disrupted the activity. The WIRED roundup also covers the US seizure and sanctioning of Xinbi Guarantee, a Telegram black market with $30 billion-plus in sales mostly laundering pig-butchering scam proceeds, plus DOJ raids on 13 scam compounds in Madagascar and a four-year prison sentence for a Conti ransomware member. Meta faces scrutiny over AI child abuse ads and a class action over photo harvesting for AI training.
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