Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
361 detections
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Detects an anomalous burst of git clone, fetch, or download events performed by a single GitHub user account against a large number of private repositories within a short timeframe (15-minute window). This pattern often indicates unauthorized bulk collection or exfiltration of sensitive source code by an actor using a valid account.
Detects anomalous, high-volume mailbox access across multiple distinct Exchange Online mailboxes within a short timeframe (1 hour) initiated by a single user account. This behavior is indicative of automated email reconnaissance, content scraping, or bulk exfiltration, often associated with post-credential compromise activity where an attacker iterates through mailboxes to identify sensitive information such as financial or administrative data.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
This rule monitors Office 365 SharePoint file operations and search queries for patterns indicative of automated discovery and exfiltration of sensitive content. It specifically identifies high-frequency search queries involving wildcard parameters used in SharePoint content indexing, which may suggest an adversary is systematically crawling or enumerating organizational documents.
Detects the execution of s5cmd.exe with command line arguments indicative of data transfer operations (sync, cp, mv, run) to or from an 's3://' URI. s5cmd is a high-performance command-line tool frequently used for parallel S3 operations, which may be leveraged by adversaries for rapid data exfiltration or staging.
This rule detects cloud file access (Download, Accessed, or Sync) originating from a Python-based user-agent (python-httpx) associated with specific Microsoft 365 applications, flagged by either an uncommon ISP or an uncommon user-agent for that specific user. This behavior is indicative of potential automated data collection or exfiltration attempts using programmatic access against cloud storage services.
This rule detects suspicious cloud user activity by identifying a single user account engaging in diverse, multi-stage actions (Authentication, MFA updates, Reconnaissance, and Exfiltration) originating from a high number of distinct source IP addresses. This behavioral pattern is indicative of a compromised account where an adversary is rotating IPs while performing a coordinated, multi-stage attack sequence.
Detects cloud data access or file download operations in Microsoft 365 (SharePoint, OneDrive, Exchange) performed by a user agent string associated with the python-httpx library. This pattern is often indicative of automated data exfiltration using custom scripts.
Detects high-volume or large-size file access, download, or preview activity originating from known anonymous proxy IP addresses. This behavior is indicative of potential data exfiltration or unauthorized scraping of sensitive documents from cloud storage.
This rule detects anomalous, high-volume file and email access events by a single user from a single IP address within the Microsoft 365 environment. The detection logic groups operations such as file downloads, file access, and mailbox item access, flagging instances where a user performs 100 or more such operations, which may indicate data exfiltration or compromised account activity.
Detects a multi-stage cloud attack sequence involving a sign-in anomaly, modification of user authentication methods (e.g., registering an attacker-controlled device), reconnaissance using Microsoft Graph API, and subsequent abnormal data access/download, typically observed in Storm-3121 and Storm-3032 activities.
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
Detects anomalous, high-volume file access or download activity in Microsoft SharePoint Online or OneDrive for Business originating from a 'python-httpx' user agent. This pattern often indicates automated data collection or exfiltration attempts using programmatic tools.
Detects anomalous, low-volume data access behavior within cloud applications (such as file downloads, previews, or mail access) that is sustained over an extended period. This pattern often indicates slow, deliberate data exfiltration designed to evade volume-based detection thresholds.
Detects unauthorized access and data retrieval attempts from a MinIO object storage instance using default administration credentials (minioadmin:minioadmin). The rule monitors both command-line execution of MinIO client (mc) operations and network connections to MinIO service ports (9000/9001) that involve the use of the default credential pair.
Detects a single user account downloading or accessing a high volume of files (more than 50) within a 15-minute window from SharePoint or OneDrive. This behavior often indicates automated data collection, potential mass exfiltration, or a compromised user account account accessing sensitive files in bulk.
This rule detects potentially unauthorized mailbox content exports within Microsoft 365, including the creation of mailbox export requests, PST-related compliance searches, and the downloading of exported search results. These activities are common precursors to data exfiltration.
Detects Microsoft 365 MailItemsAccessed events where the email subject or body contains finance-related keywords such as 'invoice', 'payment', 'bank details', or 'wire'. This activity may indicate malicious mailbox scanning or data collection, often associated with unauthorized access or automated enumeration tools like the ARToken Inbox Monitor.
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