Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
361 detections
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'This query combines different Storage alerts with CommonSecurityLogs and AuditLogs helping analysts investigate any possible storage related attacks faster
thus reducing Mean Time To Respond'
thus reducing Mean Time To Respond'
'Finds instances where a file uploaded to blob or file storage and it is seen on an endpoint by Microsoft Defender XDR.'
'This hunting query will identify where a file is uploaded to Azure File or Blob storage
and is then accessed once before being deleted. This activity may be indicative of
exfiltration activity.'
and is then accessed once before being deleted. This activity may be indicative of
exfiltration activity.'
'This hunting query looks for new Service Principals running queries that have not previously been seen running queries.'
'This hunting query looks for clients running queries that have not previously been seen running queries.'
'This hunting query looks for increases in the number of workspaces queried by a user.'
This query monitors for users running Log Analytics queries that contain filters for specific, defined VIP user accounts or the VIPUser watchlist template.
Use this detection to alert for users specifically searching for activity of sensitive users.
Use this detection to alert for users specifically searching for activity of sensitive users.
'This hunting query looks for users who have run queries calling a watchlist template relating to sensitive data that have not previously been seen calling these watchlists.'
The following analytic identifies access to GCP Storage buckets from new or previously unseen remote IP addresses. It leverages GCP Storage bucket-access logs ingested via Cloud Pub/Sub and compares current access events against a lookup table of previously seen IP addresses. This activity is significant as it may indicate unauthorized access or potential reconnaissance by an attacker. If confirmed malicious, this could lead to data exfiltration, unauthorized data manipulation, or further compromise of the GCP environment.
This analytic detects when an excessive number of files are accessed from Office 365 by the same user over a short period of time. This behavior may indicate an attacker staging data for exfiltration or an insider threat removing organizational data. The rule specifically looks for `fileaccessed` operations in the Office 365 Universal Audit Log, excluding SharePoint app access and common image file extensions. It then calculates the count of unique source file names accessed per user and flags users whose access count significantly exceeds the average (3 standard deviations above the mean) and is greater than 50 files. This can help identify malicious actors abusing "open in app" functionality or Graph API-based access to evade typical file download events.
This analytic detects when an excessive number of files are synced from Office 365 by the same user over a short period of time. This behavior may indicate an attacker staging data for exfiltration or an insider threat removing organizational data. The rule specifically looks for `filesyncdownload*` operations with a `UserAgent` containing `*SkyDriveSync*` and filters out cases where the `SiteUrl` matches the user's flat ID, which could be legitimate personal sync activity. A threshold of more than 50 unique source file names downloaded by a single user is used to trigger the alert. Additional attention should be taken with any Azure Guest (#EXT#) accounts.
This detection identifies web requests to domains that match previously decommissioned S3 buckets through web proxy logs. This activity is significant because attackers may attempt to access or recreate deleted S3 buckets that were previously public to hijack them for malicious purposes. If successful, this could allow attackers to host malicious content or exfiltrate data through compromised bucket names that may still be referenced by legitimate applications.
The analytic identifies successful access to an S3 bucket from a new or previously unseen remote IP address. This activity is significant because access from unfamiliar IP addresses could indicate unauthorized access or potential data exfiltration attempts. If confirmed malicious, this activity could lead to unauthorized data access, data theft, or further exploitation of the compromised S3 bucket, posing a significant risk to sensitive information stored within the bucket.
This rule detects when anonymous links are used to access files from OneDrive. While this isn't always a sign of malicious activity, some organizations do not support the use of anonymous links because of the risk of data leakage. The rule specifically looks for 'USER_RESOURCE_ACCESS' events with 'AnonymousLinkUsed' as the product event type, originating from 'Office 365' and 'Microsoft', where the user ID is 'anonymous'.
Detects file downloads using O365 or Graph Activity logs, not including anonymous file links
Anonymous links can be used to export files from OneDrive. While this isn't always a sign of malicious activity, some organizations do not support the use of anonymous links because of the risk of data leakage. This rule detects when anonymous links are used to access files from OneDrive.
Anonymous links can be used to export files from OneDrive. While this isn't always a sign of malicious activity, some organizations do not support the use of anonymous links because of the risk of data leakage. This rule detects when anonymous links are used to download files from OneDrive.
Anonymous links can be used to access files from OneDrive. While this isn't always a sign of malicious activity, some organizations do not support the use of anonymous links because of the risk of data leakage. This rule detects when anonymous links are used to access files from OneDrive.
Detects when a user downloads a high number of non-public GitHub repositories. An adversary may attempt to steal the contents of several GitHub repositories after compromising a user account.
This detects when a 401 Unauthorized status code is returned when attempting to download multiple unique files from OneDrive and may indicate a permissions issue for the user.
Identifies when a Google Workspace user downloads a file from Google Drive after a suspicious login event occurred.
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