Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the delivery of .mobileconfig files or related configuration profile types (e.g., .plist, .xml) via email. These profiles are used on macOS and iOS devices to modify system settings, such as mail, calendar, or contact synchronization, and can be used to install malicious root certificates to enable Man-in-the-Middle (MITM) attacks. This rule accounts for direct attachments as well as those concealed within zip archives.
This rule detects a correlation between an email phishing burst (high volume of emails with a specific failed payment subject) and the subsequent creation of suspicious 'x_trace_' files in 'var/report/' directories. This pattern is indicative of a phishing campaign where a malicious attachment or link might be attempting to write local tracking or diagnostic files on a victim's host.
This rule detects a correlation between an email phishing burst (high volume of emails with a specific failed payment subject) and the subsequent creation of suspicious 'x_trace_' files in 'var/report/' directories. This pattern is indicative of a phishing campaign where a malicious attachment or link might be attempting to write local tracking or diagnostic files on a victim's host.
This rule detects potential session token replay attacks in Azure Active Directory by correlating interactive or single-factor sign-in events using 'python-requests' user agents (common in automated tooling) with subsequent 'Register device' and 'Register security info' (Windows Hello for Business) activity within a 48-hour window. This behavior often indicates an adversary attempting to register a device to a compromised account to maintain persistence or bypass MFA requirements.
Detects inbound emails containing keywords associated with known ransomware extortion tactics (e.g., mention of specific ransomware names, data leaks, and payment demands). The rule filters for inbound traffic to identify external threats while excluding potential internal-generated traffic.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
This rule monitors network connections, DNS resolutions, and email URLs to detect traffic communicating with a known adversary-in-the-middle (AiTM) phishing infrastructure panel. By correlating security logs, DNS events, and email URL data against this specific indicator of compromise, it identifies potential interaction with phishing sites designed to capture credentials or session tokens.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
This rule monitors Office 365 activity for anomalous search behavior, specifically targeting high volumes of distinct search queries involving site collections, web structures, or index ID patterns. Such patterns are indicative of automated data discovery or enumeration activities performed against SharePoint or OneDrive environments.
This rule monitors Office 365 activity for anomalous search behavior, specifically targeting high volumes of distinct search queries involving site collections, web structures, or index ID patterns. Such patterns are indicative of automated data discovery or enumeration activities performed against SharePoint or OneDrive environments.
This rule monitors Office 365 activity for anomalous search behavior, specifically targeting high volumes of distinct search queries involving site collections, web structures, or index ID patterns. Such patterns are indicative of automated data discovery or enumeration activities performed against SharePoint or OneDrive environments.
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).
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.
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.
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.
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