Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
361 detections
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Detects rapid high-volume file and messaging operations across multiple Microsoft 365 services (SharePoint, OneDrive, Teams, Exchange) within a compressed 10-minute window. This behavior can indicate data exfiltration or collection by an adversary.
Detects an unusually high frequency of storage blob and container listing operations within a short time window. This behavior often indicates an attempt to enumerate the contents of Azure Blob Storage, which may be a precursor to data discovery or exfiltration.
Detects enumeration of cloud storage objects for data discovery
Detects high volume Google Cloud Storage (GCS) object listing and downloads, which can indicate reconnaissance of cloud storage contents or data exfiltration. The rule correlates multiple 'storage.objects.list' and 'storage.objects.get' operations within a one-hour window from the same identity, bucket, and project, flagging activity exceeding 50 operations.
Detects anomalous activity where a single user or service principal downloads more than 5 Microsoft Teams meeting recordings within a 1-hour window. This behavior potentially indicates an insider threat or compromised account performing bulk harvesting of sensitive meeting content.
This rule detects a potential Azure storage account name hijacking scenario. It identifies instances where a storage account is deleted and then recreated with the exact same name in a different subscription within the same Azure tenant, all within a 60-minute window. This activity could indicate an attempt to exfiltrate data via Azure Monitor diagnostic settings by taking over a previously used storage account name.
Detects potential GCP logging sink bucket hijacking by monitoring for the deletion of a Google Cloud Storage bucket followed closely by an update to a logging sink configuration that points to a GCS destination. This pattern is characteristic of attackers attempting to intercept cloud log streams by recreating a target destination bucket in an environment they control.
This rule detects potential unauthorized access to Azure Storage Blobs following the retrieval of storage account access keys. It correlates 'ListKeys' API events with subsequent blob access activities from either unrecognized IP addresses or via Shared Access Signature (SAS) tokens, indicating potential credential misuse.
Slack Canvas External Access & Tampering
Cortex XDR
Detects external users accessing internal Slack canvases and suspicious canvas deletion or access level changes. Canvases can contain sensitive runbooks, credentials, and organizational data, making these actions critical to monitor for potential data exfiltration or unauthorized access.
Detects a rapid burst of file upload activity to cloud storage applications from a single account, including unusual proxy or device context. This rule identifies scenarios where an account performs 20 or more upload events or uploads 20 or more distinct objects within a 15-minute time window to common cloud storage services like Google Drive, Dropbox, Box, MEGA, OneDrive, or ShareFile. It also highlights if any of these uploads originate from an anonymous proxy.
Detects cloud searches for credential, key, production, database, or confidential terms followed by access to matching files within OneDrive.
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
Detects an unusually high frequency of storage blob and container listing operations within a short time window. This behavior often indicates an attempt to enumerate the contents of Azure Blob Storage, which may be a precursor to data discovery or exfiltration.
Detects cloud searches for sensitive keywords (credential, secret, etc.) followed by access to matching files.
Detects unauthenticated or anonymous access attempts to cloud storage buckets, specifically targeting Azure Blob Storage and AWS S3. The rule identifies access to publicly exposed buckets or those with anonymous access enabled, including specific bucket names associated with known OPSEC failures (pois43, w456w5, sentiwaw). This could indicate data exposure or reconnaissance by unauthorized actors.
Slack Canvas External Access & Tampering
Cortex XDR
Detects external users accessing internal Slack canvases and suspicious canvas deletion or access level changes. Canvases can contain sensitive runbooks, credentials, and organizational data, making these actions critical to monitor for potential data exfiltration or unauthorized access.
This rule detects access attempts to SharePoint or Office 365 applications where the UserAgent string indicates the use of PowerShell or Python. This could signify suspicious scripting activity or automated access that might be indicative of malicious intent, such as data exfiltration or unauthorized configuration changes.
Detects a high volume of successful network connections to multiple unique cloud storage services (Dropbox, Box.com, OneDrive) from a single device and user account within an hour. This could indicate data exfiltration or unauthorized access to cloud storage.
This rule detects an unusually high volume of file sharing events from a single user in OneDrive within a one-hour window. Specifically, it looks for five or more 'SharingSet' or 'AnonymousLinkCreated' operations by the same UserId within an hour, which could indicate data exfiltration or unauthorized sharing.
Detects enumeration of S3 bucket objects for cloud data discovery
This rule detects an unusually high volume of file sharing events from a single user in OneDrive within a one-hour window. Specifically, it looks for five or more 'SharingSet' or 'AnonymousLinkCreated' operations by the same UserId within an hour, which could indicate data exfiltration or unauthorized sharing.
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