Arnold Chan
@slazTrusted contributorCompletionist
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7,544 detections
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Detects a suspicious sequence of events where a user's password is changed or reset by an administrator (or help-desk role) followed within a short time window by that same user registering a new MFA device, potentially indicating a vishing-based account takeover attack (e.g., PREY-0058/UNC6671).
This rule detects rapid enumeration of Azure AD identity and configuration components by identifying a burst of specific, high-level administrative API calls (Get user flows, Get API connectors, Get identity providers, Get user attributes) within a short window. This pattern is indicative of reconnaissance activities aimed at mapping out the identity provider configuration.
Detects anomalous email access patterns across multiple mailboxes using specific application identifiers or access contexts often associated with automated collection tools. This rule flags when an application accesses more than 20 items across distinct mailboxes in a 15-minute window, which is indicative of potential unauthorized bulk email collection or data exfiltration.
This rule detects user authentication events that deviate significantly from a 14-day historical baseline of known devices, operating systems, browsers, and network locations (ASN). It flags logins where at least two out of four key metadata signals (DeviceId, OS, Browser, ASN) have changed compared to the user's historical pattern, specifically targeting successful authentications that did not trigger a fresh multi-factor authentication (MFA) challenge, potentially indicating token theft or unauthorized session reuse.
Detects anomalous access to Microsoft 365 services (OneDrive, SharePoint, Mail) where the user activity is characterized by a high volume of operations (more than 30) across a diverse set of objects (more than 15) within a one-hour window. The detection focuses on activity originating from specific common automation/scripting User-Agents (Microsoft Graph, Python httpx/requests) that deviate from typical, focused service account behavior.
Detects successful Azure AD sign-ins where the user agent identifies as a Python requests library version (2.33.1 or 2.34.2) that has not been observed for that specific user account in the preceding 14 days. This behavior is indicative of anomalous automated or scripted access.
This rule detects suspicious, high-volume file access or download operations in SharePoint and OneDrive. It filters for activities performed by specific user agents commonly associated with automated scripting tools (e.g., python-requests, Microsoft.Graph.Client), which indicates potential automated exfiltration or unauthorized bulk data collection.
Detects DNS queries and TLS SNI traffic originating from internal hosts directed towards a specific set of domains associated with passkey/MFA/SSO-themed vishing lures. These domains are identified as potential components of phishing campaigns designed to deceive users into disclosing authentication credentials.
Detects the loading of Linux kernel modules using insmod or modprobe from non-standard, writable directories such as /tmp, /var/tmp, /dev/shm, /home, /root, or /opt. This behavior is highly indicative of an adversary attempting to install a malicious kernel module or rootkit to gain persistence or privilege escalation, while bypassing standard package management paths.
Detects the loading of Linux kernel modules using insmod or modprobe from non-standard, writable directories such as /tmp, /var/tmp, /dev/shm, /home, /root, or /opt. This behavior is highly indicative of an adversary attempting to install a malicious kernel module or rootkit to gain persistence or privilege escalation, while bypassing standard package management paths.
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