Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

361 detections

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.
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Arnold Chan@slaz
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Hunters
2 months ago
000
Detects automated directory fuzzing attempts against Azure Storage blobs targeting sensitive files like .env, .pem, or configuration files. The rule identifies suspicious activity by aggregating requests from Anonymous or SAS-authenticated sources that exhibit high request volumes and access to multiple distinct sensitive paths, while excluding known legitimate bulk-transfer and synchronization tools.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects automated directory fuzzing attempts against Azure Storage blobs targeting sensitive files like .env, .pem, or configuration files. The rule identifies suspicious activity by aggregating requests from Anonymous or SAS-authenticated sources that exhibit high request volumes and access to multiple distinct sensitive paths, while excluding known legitimate bulk-transfer and synchronization tools.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects automated directory fuzzing attempts against Azure Storage blobs targeting sensitive files like .env, .pem, or configuration files. The rule identifies suspicious activity by aggregating requests from Anonymous or SAS-authenticated sources that exhibit high request volumes and access to multiple distinct sensitive paths, while excluding known legitimate bulk-transfer and synchronization tools.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
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.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
101
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.
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Arnold Chan@slaz
Defender - KQL
2 months ago
001
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.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
000
Detects a user performing a high volume of SharePoint site discovery queries within a one-hour window. This behavior often indicates an adversary attempting to map site structures and discover content across an organization's SharePoint environment.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
Detects a user performing a high volume of SharePoint site discovery queries within a one-hour window. This behavior often indicates an adversary attempting to map site structures and discover content across an organization's SharePoint environment.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
000
Detects a user performing a high volume of SharePoint site discovery queries within a one-hour window. This behavior often indicates an adversary attempting to map site structures and discover content across an organization's SharePoint environment.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
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.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
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.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule monitors Microsoft 365 SharePoint and OneDrive audit logs for the 'SharingSet' operation to detect when internal items are shared with external guests. It classifies sharing events based on permission level and site type (Personal vs. SharePoint site) to highlight potentially high-risk external collaboration.
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Udi B@Udi
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Detections.ai Community
2 months ago
609
Detects users who have downloaded more than 50 files from cloud storage applications within a single hour, potentially indicating data exfiltration or mass data harvesting.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
308
This rule monitors Netskope cloud application events to detect potential data exfiltration. It triggers if there is a significant volume anomaly (z-score >= 2) for any cloud application activity, or if a 'Share' or 'Upload' activity occurs that is only configured to 'Alert' rather than being blocked. This helps identify unusual spikes in data movement or sensitive operations that bypass formal enforcement controls.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
006
KQL Query
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
003
Detects sensitive files in cloud storage environments that have been shared publicly or with external entities, as identified by Netskope CASB (DLP) policies. This rule monitors for events where storage objects are assigned broad access permissions (e.g., 'public', 'anyone with link') in conjunction with DLP incident triggers.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
103
Detects sensitive files in cloud storage environments that have been shared publicly or with external entities, as identified by Netskope CASB (DLP) policies. This rule monitors for events where storage objects are assigned broad access permissions (e.g., 'public', 'anyone with link') in conjunction with DLP incident triggers.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
003
This rule detects data synchronization activities between sanctioned enterprise applications and unsanctioned or personal cloud applications using Netskope logs. This pattern often indicates potential shadow IT usage or unauthorized data exfiltration from controlled environments to personal storage services.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
102
Detects bulk SharePoint/M365 file access or download either from a known UNC6671 exfiltration IP, or via a scripting-library user agent that is new for the user and exceeds a volume threshold within a short session window.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
10014
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