Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
361 detections
Filters
Last updated
All Time
Detection languages
221
34
32
25
24
Contributors
108
70
66
16
14
Categories
20,427
11,813
5,871
5,145
4,864
Platforms
197
191
116
38
19
Products / Services
210
40
30
29
27
MITRE Techniques
238
171
151
80
77
CVEs
5
IDS Classtypes
4
3
1
IDS Protocols
8
Detects potentially unauthorized or suspicious file activities such as bulk downloads, external file sharing, or CASB policy violations monitored by Zscaler ZIA, which may indicate data exfiltration or policy non-compliance.
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.
Detects instances where a single user account performs a large volume of file downloads (50 or more unique files) within a 30-minute window from Office 365 services. This behavior may indicate unauthorized data exfiltration or mass collection of sensitive information.
This rule detects anomalous, high-volume file access activity within SharePoint by monitoring the 'FileAccessed' operation. It calculates a 14-day rolling baseline for each user and triggers an alert when the hourly 'FileAccessed' count significantly exceeds this baseline, specifically when no corresponding 'FileDownloaded' events are present. This behavior aims to detect stream-based data exfiltration techniques that bypass standard download-based DLP controls.
This rule detects high-volume file access or download operations in SharePoint or OneDrive, performed by non-browser user agents (e.g., Python, PowerShell, cURL, Go). An elevated volume of such actions within a short timeframe is indicative of automated, scripted interaction, which may represent malicious data exfiltration, automated content scraping, or potential account compromise.
This rule detects potential mass data retrieval or excessive access to sensitive-labeled files by an individual user through Microsoft Copilot within a one-hour window. By monitoring the volume of distinct sensitivity-labeled objects accessed, it identifies behavior consistent with a user or compromised account performing high-volume information gathering.
Detects potentially unauthorized or suspicious file activities such as bulk downloads, external file sharing, or CASB policy violations monitored by Zscaler ZIA, which may indicate data exfiltration or policy non-compliance.
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.
Detects SharePoint Online search queries involving sensitive keywords related to M&A, legal, or financial activities, excluding authorized personnel in departments such as legal or finance. This rule helps identify potential unauthorized internal reconnaissance or data staging activities within an organization's document management system.
Detects instances where a single user account performs a large volume of file downloads (50 or more unique files) within a 30-minute window from Office 365 services. This behavior may indicate unauthorized data exfiltration or mass collection of sensitive information.
Detects anomalous, high-volume access, download, or synchronization activity in SharePoint or OneDrive within a one-hour window. The rule focuses on non-interactive user agents typically used by scripting libraries (e.g., Python requests, PowerShell, Go-http-client) and flags activity that exceeds an individual user's 21-day rolling baseline, suggesting potential automated data exfiltration or mass collection.
This rule detects potential mass data retrieval or excessive access to sensitive-labeled files by an individual user through Microsoft Copilot within a one-hour window. By monitoring the volume of distinct sensitivity-labeled objects accessed, it identifies behavior consistent with a user or compromised account performing high-volume information gathering.
This rule detects high-volume file access or download operations in SharePoint or OneDrive, performed by non-browser user agents (e.g., Python, PowerShell, cURL, Go). An elevated volume of such actions within a short timeframe is indicative of automated, scripted interaction, which may represent malicious data exfiltration, automated content scraping, or potential account compromise.
This rule aggregates SharePoint activity logs for a specific user within a defined timeframe. It groups activities by operation and file, intended to support investigation into potential mass file access or data staging behavior by a specific user in SharePoint.
Detects anomalous, automated data exfiltration cycles in Microsoft 365 environments consistent with the Helix threat group. The rule identifies a pattern of successful sign-ins followed within 6 hours by new MFA registration, suspicious SharePoint enumeration, and a high-frequency, non-human-paced burst of file downloads.
Detects network connections to Zoho WorkDrive (workdrive.zoho.com) initiated by processes other than standard web browsers. This activity may indicate the use of unauthorized or automated tools to access cloud storage, potentially for data exfiltration or staging.
Detects high volumes of file download operations from OneDrive or SharePoint occurring within one hour of a device-code authentication event. This pattern is indicative of potential data exfiltration by an adversary using a stolen access token obtained via an OAuth device-code phishing attack.
This rule detects unauthorized or suspicious access attempts to a MinIO storage service by monitoring network traffic for default credentials, specific API calls like 'ListBuckets', or access to sensitive paths like 'terraform-state'. It triggers when traffic either targets the 'minio.internal' hostname or the local loopback address on port 9000, specifically looking for common MinIO administrative indicators.
Detects high-volume data access or exfiltration from Azure/Office 365 cloud environments via common scripting/automation user-agents. The rule monitors API requests to users, mail, drive, or files endpoints by non-standard clients (e.g., python, curl, Go) from previously unseen locations, calculating a risk score based on the number of endpoints accessed and the total data volume.
Detects anomalous credential access behavior in Azure Key Vault where a single identity performs more than 20 secret, key, or certificate read/list operations within a 5-minute window. This behavior is indicative of potential unauthorized reconnaissance or exfiltration of secrets stored in Key Vaults, excluding known automation service principals.
This rule detects anomalous high-volume file download activities from Microsoft SharePoint and OneDrive for Business, which may indicate data exfiltration. The rule aggregates download events by user and IP address over 10-minute intervals and triggers when the download count exceeds 200, excluding known service/backup accounts.
Page 12 of 18