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Bryant Smith

@flowstate
Trusted contributorCompletionist
3 followers678 downloads310 copies7 likes12,516 views

91 detections

Identifies HTTP requests containing the custom 'X-Antibot-Token' header used by the EvilTokens phishing kit to validate interactions and evade automated scanners. This header is highly specific to the EvilTokens PhaaS and its presence indicates malicious activity.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
3017
Identifies network traffic targeting the backend API endpoints associated with EvilTokens device code generation and token weaponization. This rule specifically looks for requests to paths like /api/device/start, /api/device/status, /api/device/sessions, and various /api/prt/ endpoints (convert, refresh, exchange, cookie, owa-session, recon, azure) which are indicative of EvilTokens activity.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
2010
Detects the creation of the WindowsVaultSyncService scheduled task or a task using the specific misleading description observed in SHEETCREEP (APT36) infections. The malware uses the Task Scheduler COM API to establish persistence.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
208
Detects access to the Intune admin portal from devices that are not marked as compliant or lack a device ID. This may indicate potential credential theft, session replay from unmanaged infrastructure, or AiTM phishing proxies bypassing basic MFA.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
2021
Detects the creation of a new Global Administrator or Company Administrator account in Microsoft Entra ID (formerly Azure Active Directory). Adversaries may escalate privileges from compromised MDM administration roles (like Intune) to Entra ID Global Admin to cement full control over the tenant.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
5021
Detects the specific command-line sequence utilized by the SHEETCREEP dropper to delete itself (melt) and hide forensic traces using cmd.exe. This involves a delayed deletion using 'choice' and 'del /f /q' commands.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
105
Detects successful device code flow sign-ins to the Microsoft Authentication Broker application targeting the Microsoft Graph resource, specifically when the sign-in does not originate from a trusted named location. This activity can indicate a device code phishing attempt where an attacker tricks a user into authenticating a malicious application.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
5021
Detects successful sign-ins to Microsoft Office applications using the device code flow (FOCI AppId d3590ed6-52b3-4102-aeff-aad2292ab01c) that originate from an untrusted network location. This activity can indicate a device code phishing attack where an adversary has tricked a user into authenticating a malicious application.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
1021
Identifies a risky sign-in to a known O365 landing page followed shortly by the creation of an inbox rule that deletes messages or moves them to junk/trash. This pattern frequently indicates account compromise (e.g., BEC or AiTM) attempting to hide malicious activity.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
15127
Detects a successful login from a non-compliant, unmanaged device followed by an inbox rule creation or modification within 10 minutes. This sequence aligns with post-compromise evasion tactics observed in device code phishing campaigns like Kali365, where attackers quickly suppress security alerts after gaining access.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
5038
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