ARTEX abuse expands as cybercriminals target financial sector
In October 2026, the financially motivated threat actor Storm-3358 began targeting organizations in the financial sector using the agentic AI offensive framework ARTEX.
Cyberattacker techniques, tools, and infrastructure
Cyberattackers constantly evolve their techniques, tools, and infrastructure to launch increasingly complex attacks. Learn about the latest tactics and how to detect, disrupt, and defend against them.
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Tracking AI adoption in North Korean threat actor tradecraft
As Microsoft Threat Intelligence continues to track how threat actors operationalize AI to increase the speed and efficiency of attacks, we’ve identified North Korean threat actors expanding their use of AI with varying levels of adoption. -
The hidden network: Inside the phishing infrastructure ecosystem powering global cybercrime
Microsoft uncovered a Chinese-language cybercriminal ecosystem, an interconnected network of phishing kit operators (tracked as Storm-2990), and an illicit marketplace (tracked as Storm-3119) selling tools and infrastructure for large-scale phishing. -
Star Blizzard refines phishing and malware delivery with the RedFlick technique
Since January 2026, Microsoft has observed Russian state threat actor Star Blizzard evolve their detection evasion capabilities through large-scale phishing campaigns, the use of accounts on compromised websites, and a novel malware delivery technique, tracked by Microsoft as “RedFlick”. Retain Microsoft Defender Experts
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NeedyMantis: Unpacking a post-compromise malware family used in targeted operations
Microsoft Threat Intelligence identified NeedyMantis, a modular post-compromise malware framework used in targeted intrusions that combines custom loaders, encrypted archives, and extensible components to maintain long-term access and support follow-on operations. -
Unmasking EvilTokens: Getting to the root of device code phishing
EvilTokens has quickly become one of the top PhaaS platforms, enabling device code phishing attacks through AI-assisted lures, automated infrastructure, and token theft. -
CaptiveCrunch: Midnight Blizzard targets travelers worldwide for malware delivery and credential theft
Storm-2945, a sub-cluster of the Russian threat actor Midnight Blizzard, has been observed compromising the sign-in portals of hospitality-related organizations such as hotels since May 2026 in order to deliver malware to travelers and steal credentials in an operation we call CaptiveCrunch. -
GigaWiper: Anatomy of a destructive backdoor assembled from multiple malware
GigaWiper, also tracked as BLUERABBIT, is a destructive backdoor that combines multiple wiping and ransomware-like capabilities into a single operational platform. Modernize your Security Operations Center with Microsoft Sentinel
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StealC and Amadey: Breaking down infostealers and the cybercrime services that deliver them
On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that formed the backbone of the StealC and Amadey infrastructure. -
The Gentlemen ransomware: Dissecting a self-propagating Go encryptor
Microsoft Threat Intelligence presents a comprehensive analysis of The Gentlemen, a Go-based ransomware deployed by affiliates of Storm-2697 that combines per-file ephemeral key encryption with an aggressive self-propagation module to deploy itself across an entire network using series of simultaneous lateral movement techniques per target. -
Kazuar: Anatomy of a nation-state botnet
Kazuar, a sophisticated malware family attributed to the Russian state actor Secret Blizzard, has been under constant development for years and continues to evolve in support of espionage-focused operations. -
Undermining the trust boundary: Investigating a stealthy intrusion through third-party compromise
Microsoft Incident Response investigated an attack operated through legitimate and trusted administrative mechanisms to blend seamlessly into routine operations and remain undetected demonstrating that intrusions have increasingly avoided using noisy exploits, obvious malware, or custom tooling, instead leveraging systems that organizations already trust within their environments.
