Chintan Gurjar
@chintangurjar2 followers17 downloads197 copies14 likes1,110 views
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Detects Microsoft 365 token replay from the Huntress token spray and replay campaign. Alerts on sign-ins from an IP new to the account (not seen on 3 or more distinct days in the 14d baseline) that match one of three behaviors: a scripted client (node or bare Mozilla/5.0 user agent with Office or Authentication Broker client IDs), Device Registration Service access (Medium-High only when corroborated by a campaign IP, scripted user agent or session IP hop, otherwise Low), or one session moving across IPs within 60 minutes. Rows are raised to High when the same new IP hits 3 or more baseline accounts in the window (token spray pattern) or matches a campaign IOC. Low Signal rows are dropped when AlertOnly = true. Does not cover MFA changes, device registration events or inbox rules.
This rule detects impossible travel scenarios for user sign-ins that occur shortly after a device associated with that user has been wiped, retired, or deleted. It calculates the speed between consecutive sign-in locations for the same user and flags any travel exceeding 900 km/h, indicating a potential compromise or fraudulent activity.
This rule identifies emails sent from an internal employee email address to external personal email domains where the recipient's local part of the email address contains tokens from the sender's display name for more than 0 words matching. It also analyses attachments for sensitive keywords (e.g., 'confidential', 'secret') and assigns a risk score based on factors like email volume, attachment count, and presence of sensitive attachments. This could indicate an attempt to exfiltrate sensitive company data to a personal account.
It matches first name and last name keywords within the Recipient's email address, including prefixes, suffixes, or in-between parts. Therefore, the false positive rate for this query is lower.
It matches first name and last name keywords within the Recipient's email address, including prefixes, suffixes, or in-between parts. Therefore, the false positive rate for this query is lower.