Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects inbound emails that pass SPF, DKIM, and DMARC authentication checks but contain attachments (PDF, HTML, DOCX, XLSX, SVG) with subjects commonly used in phishing lures such as DocuSign, shared documents, invoices, or HR announcements.
This rule detects potential large-scale phishing campaigns by identifying email traffic patterns involving URLs hosted on the 'workers.dev' domain. It looks for a high volume of unique recipients and unique subject lines within a short timeframe, which is indicative of automated, mass-distributed phishing lures often used to evade traditional URL reputation filters.
Detects anomalous, high-frequency mailbox search and access activity targeting financial-related keywords (e.g., invoices, wire transfers, bank details). This behavior pattern is frequently observed during business email compromise (BEC) attacks, where adversaries utilize OAuth tokens to triage mailboxes for sensitive payment information.
This rule monitors for various types of events (user logons, network connections, API audits, cloud app events, and email traffic) originating from a specific CIDR block (160.79.104.0/21), which is flagged as suspicious or unauthorized.
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
This rule detects various event types (email, identity authentication, network connections, and cloud audit logs) originating from or interacting with the specific IP address range 160.79.104.0/22 to 160.79.111.0/22, which is associated with known malicious activity.
This rule detects administrative updates to a user account in Azure Active Directory (Microsoft Entra ID) that involve modifying authentication methods to include 'SoftwareTokenActivated' associated with HMAC-SHA1 and specific authentication type configurations. Such modifications may indicate an adversary attempting to register a new MFA device or method to maintain persistence or bypass existing security controls.
This rule monitors Microsoft Graph API audit logs for suspicious patterns indicative of automated discovery or enumeration of SharePoint and OneDrive environments. It detects high-frequency access to sensitive API endpoints (such as /sites, /drives, or /children) and the use of pagination parameters (skiptoken, top) within short time intervals, which are common techniques used to crawl and inventory organizational data at scale.
This rule monitors Microsoft Graph API audit logs for suspicious patterns indicative of automated discovery or enumeration of SharePoint and OneDrive environments. It detects high-frequency access to sensitive API endpoints (such as /sites, /drives, or /children) and the use of pagination parameters (skiptoken, top) within short time intervals, which are common techniques used to crawl and inventory organizational data at scale.
Detects anomalous high-volume access to Exchange Online via the One Outlook Web/Office client, potentially indicating data exfiltration or automated mass email access by a compromised account.
This rule detects potential reconnaissance activity within a Microsoft Entra ID (Azure AD) environment by monitoring Microsoft Graph API audit logs. It specifically flags accounts that exhibit high-frequency access to sensitive endpoints related to directory roles, role management, authentication methods, service principals, and application permissions. The detection triggers when an identity interacts with multiple distinct sensitive API paths within a 30-minute window, a pattern indicative of an adversary enumerating privileges, MFA configurations, or application consent settings for potential escalation or persistence.
This rule detects anomalous activity where users access Microsoft 365 services (SharePoint, OneDrive, Exchange) through identified anonymous proxy connections. It identifies potentially malicious exfiltration or bulk activity by flagging users who perform a high number of operations (1,000+ events) or download a significant volume of data (5GB+) within a 2-hour window.
This rule detects high-frequency interaction with the Exchange REST API originating from user agents identified as 'One Outlook Web', potentially indicative of automated password spraying or brute force attacks targeting cloud mailboxes. This rule identifies the underlying event pattern and should be paired with a scheduled/aggregation rule to detect the volume threshold (e.g., 500+ events per hour).
This rule detects high-frequency and broad-scope enumeration of multiple Microsoft Graph API endpoints by a single identity. By monitoring for access to diverse sensitive categories (organization, users, groups, directoryroles, sites, messages) within a short timeframe, it flags activity patterns consistent with reconnaissance, account discovery, or unauthorized data exploration.
Detects potential social engineering attacks in Microsoft Teams where an internal user sends multiple messages containing terms related to MFA, SSO, or passkey updates, potentially attempting to harvest credentials from other users.
This rule detects potentially malicious or automated data access patterns within Microsoft 365 or similar cloud environments. It identifies user accounts or applications that exhibit a high volume of file/email access operations across a diverse set of paths, which is often indicative of automated data exfiltration, scraping, or suspicious collection by a compromised identity.
Detects the registration of a new MFA authentication method (software OTP token or authenticator app) on an Azure AD account, specifically when triggered with 'NO_DEVICE' or 'NO_DEVICE_TOKEN' markers and 'SoftwareTokenActivated' tags. This behavior is indicative of potential attacker persistence following account compromise where a new MFA device is added for future access.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
Detects the registration of a new MFA authentication method (software OTP token or authenticator app) on an Azure AD account, specifically when triggered with 'NO_DEVICE' or 'NO_DEVICE_TOKEN' markers and 'SoftwareTokenActivated' tags. This behavior is indicative of potential attacker persistence following account compromise where a new MFA device is added for future access.
Detects automated file access and download operations in SharePoint or OneDrive performed by the 'python-httpx' library. This behavior may indicate an attacker using scripts or automated tools to perform unauthorized data collection or exfiltration, often observed in automated cloud compromise scenarios.
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