Reco | Breaking Cybersecurity News | The Hacker News

In February 2026, a phishing-as-a-service (PhaaS) platform called EvilTokens went live. Within five weeks, it had compromised more than 340 Microsoft 365 organizations across five countries.  The targets of the platform received a message asking them to enter a short code at microsoft.com/devicelogin and complete their normal MFA challenge, then walked away believing they had verified a routine sign-in. They had actually handed the operator a valid refresh token scoped to their mailbox, drive, calendar, and contacts, with the lifespan of a tenant policy rather than a session. The operator never needed a password, never tripped an MFA prompt, and never produced a sign-in event that looked like an intrusion. The attack succeeded because the OAuth consent screen has become an instinctive click, and the controls built to stop credential phishing do not look at the consent layer. Security researchers call the resulting condition consent phishing or OAuth grant abuse. The phishin...

Your employees didn’t mean to expose sensitive data. They just wanted to move faster. So they used ChatGPT to summarize a deal. Uploaded a spreadsheet to an AI-enhanced tool. Integrated a chatbot into Salesforce. No big deal—until it is. If this sounds familiar, you're not alone. Most security teams are already behind in detecting how AI tools are quietly reshaping their SaaS environments. And by the time an alert is triggered—if it even exists—damage may already be done. This Isn’t a Hypothetical Problem. It’s Happening Now. AI adoption inside organizations is no longer strategic. It’s spontaneous. Employees are experimenting, connecting, automating—and bypassing security while doing it. AI systems are becoming embedded in your SaaS stack without visibility or oversight. And it’s creating a new class of shadow integrations—ones that don’t show up in traditional threat models. If your current defenses rely on manual tracking, policy enforcement, or user education alone, you’r...