Huntress reported that the EvilTokens phishing-as-a-service operation used Microsoft’s legitimate device code authentication flow to steal valid session tokens from users without capturing passwords or directly breaking MFA. The campaign accelerated in early March after initial alerts in late February and affected 344 organizations across five countries over 16 days. According to Huntress and Microsoft, the operation relied on trusted cloud infrastructure hosted on Railway and phishing lures tailored to victims’ normal workflows, allowing the activity to blend in with legitimate sign-in behavior.
Researchers said EvilTokens is marketed on Telegram and uses AI-enhanced phishing to personalize messages, evade email filtering, identify financially valuable targets, and automate follow-on fraud using context taken from compromised accounts. Because the emails, URLs, and authentication steps appeared legitimate, traditional email defenses often failed to stop the attacks. Huntress recommended behavior-based detection, stricter Conditional Access policies, monitoring for suspicious device registrations, rapid token revocation, and wider adoption of phishing-resistant MFA such as FIDO2 security keys and passkeys.

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Huntress published its analysis of the EvilTokens campaign, concluding that traditional email defenses were ineffective because the emails, URLs, authentication flows, and infrastructure appeared legitimate. The report recommended behavior-based detection, stricter conditional access controls, monitoring for suspicious device registrations, token revocation, and phishing-resistant MFA such as FIDO2 and passkeys.
Huntress and Microsoft assessed EvilTokens as a phishing-as-a-service offering sold on Telegram that uses AI to tailor lures, evade filters, identify financial targets, and automate follow-on fraud using victim context.
Sekoia published an analysis of EvilTokens describing its device-code phishing kit, centralized affiliate panel, Portal Browser, Telegram/NOWPayments sales workflow, and cloud-hosted phishing infrastructure. The report highlighted AI-assisted post-compromise automation using Microsoft Graph reconnaissance and LLM prompts to rapidly prepare tailored BEC fraud, which Sekoia assessed as a novel capability for a PhaaS platform.
In early March, the device code phishing campaign expanded significantly, using legitimate Microsoft device code authentication flows and Railway-hosted infrastructure to capture valid session tokens. Huntress said the activity ultimately affected 344 organizations across five countries over a 16-day period.
Additional EvilTokens-related alerts were observed on February 24, indicating continued campaign activity before the larger escalation in March.
Huntress reported initial alerts tied to the EvilTokens device code phishing campaign on February 19, marking the earliest observed activity referenced in the report.
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