Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects when a user clones 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.
Detects when a GitHub repository's visibility is changed from 'internal' to 'public'. This change can expose sensitive code or data, potentially leading to data exfiltration or unauthorized access. The rule specifically looks for 'repo.access' events where the 'previous_visibility' was 'internal' and 'public_repo' is now 'true'.
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 rule detects when a GitHub organization initiates an outgoing transfer to another enterprise account. This activity is suspicious because an adversary might attempt to transfer a GitHub organization to an enterprise account they control to steal data, intellectual property, or maintain persistence. The rule specifically looks for the `org.transfer_outgoing` event type in GitHub audit logs.
Detects when a user grants access to a GitHub Personal Access Token prior to cloning several GitHub non-public GitHub repositories. An adversary may grant access to a Personal Access Token before attempting to steal the contents of several GitHub repositories using a an automated script or offensive tool.
Detects when a user clones 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 rule identifies API requests made to the Microsoft Graph API to access user mailboxes and retrieve a specified number of messages. It specifically looks for GET requests to the `/v1.0/users/*/mailFolders/*/messages?$top=` endpoint with a successful HTTP 200 response. This activity could indicate an attacker attempting to exfiltrate emails from a compromised mailbox.
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.
Detects when a GitHub repository is transferred.
This rule identifies when a single user downloads multiple files from Google Drive within a one-hour window. This behavior can be indicative of data exfiltration attempts, where an attacker or malicious insider is trying to extract sensitive information from the organization's Google Drive storage. The rule specifically looks for 'download' events from the 'Google Workspace' vendor and 'drive' product, and triggers an alert if more than 10 distinct files are downloaded by the same user within the specified timeframe.
Detects when a user deletes multiple secrets or secret versions from Google Cloud Platform (GCP) Secret Manager within a one-hour period. This activity could indicate an attempt to destroy critical data or disrupt services.
This rule detects when a Google Cloud Platform (GCP) Compute Engine image's access policy is modified to include 'allAuthenticatedUsers'. This action effectively makes the image publicly accessible to any authenticated Google user, which could lead to unauthorized access or data exfiltration if sensitive data is present in the image.
This rule identifies a suspicious sequence of events within Google Workspace. Specifically, it triggers when a user successfully logs in under suspicious circumstances (indicated by the 'is_suspicious' label) and subsequently downloads a file from Google Drive. The rule correlates these two events by the user ID and ensures the download occurs after the suspicious login, within a 1-hour window.
This rule identifies potential data exfiltration attempts where a user sends multiple files (more than 10) from Google Drive as email attachments to free email domains (e.g., gmail.com, aol.com, hotmail.com, outlook.com, icloud.com) within a one-hour window. This behavior can indicate an adversary attempting to move sensitive data out of the organization's controlled environment.
This rule identifies when a user shares a file from Google Drive with an email address belonging to a common free email domain (e.g., gmail.com, aol.com, hotmail.com, outlook.com, icloud.com). This activity is flagged as it may indicate an attempt at data exfiltration, where sensitive information is moved outside the organization's controlled environment to personal or untracked accounts.
This rule detects when a single user downloads results from multiple BigQuery tables within a one-hour window. This behavior can be indicative of data exfiltration attempts, where an attacker or insider is trying to extract a large amount of data from an organization's data warehouse.
This rule identifies when a Google Workspace user shares a file on Google Drive shortly after a suspicious login event has occurred. It correlates a successful login event flagged as suspicious with subsequent Google Drive file sharing activities (changing user access, document visibility, access scope, or ACL editors) by the same user within a one-hour window. This behavior could indicate an attacker gaining access to an account and then exfiltrating data.
This rule identifies when a single user copies a large number of files from Google Drive within a one-hour period. This behavior can be indicative of data exfiltration attempts, where an attacker or malicious insider is trying to move sensitive data out of the organization's control. The rule specifically looks for 'copy' or 'source_copy' events within Google Workspace Drive logs and triggers if more than 10 distinct documents are copied by the same user in an hour.
This rule detects when an Amazon RDS Snapshot is shared publicly. This action can lead to sensitive data exposure if the snapshot contains confidential information. The detection is based on AWS CloudTrail logs, specifically looking for 'ModifyDBSnapshotAttribute' or 'ModifyDBClusterSnapshotAttribute' events where the 'Request Parameters Values To Add' includes 'all' and 'Request Parameters Attribute Name' is 'restore'. This indicates an attempt to make the snapshot publicly restorable.
This rule identifies outbound network connections to a specific Autonomous System Number (ASN). The rule is designed to detect suspicious network traffic that might indicate command and control activity, data exfiltration, or other malicious communications originating from the monitored environment to an ASN that has been deemed suspicious. The specific ASN to monitor is configured within the rule.
Detects when an Amazon EC2 AMI (Amazon Machine Image) or Snapshot is modified to be shared publicly. This action can lead to sensitive data exposure or provide adversaries with a way to exfiltrate data by sharing it with an 'all' group, making it accessible to anyone.
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