Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous user behavior where a file search query is followed by a high volume of file downloads within a short period (30 minutes) from the same IP address. This behavior is indicative of an attacker searching for sensitive documents and performing bulk extraction or exfiltration.
Detects network activity from infrastructure provisioner tools (Terraform, Coder) or shell processes attempting to connect to suspicious domains (e.g., coder-infra.com) that resemble legitimate infrastructure domains. This activity is indicative of credential theft, specifically targeting OIDC tokens, SSH keys, or authentication tokens during automated provisioning processes.
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.
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.
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.
Detects unauthenticated GET requests to GitLab CI/CD job artifact download endpoints on a public repository, which can expose leaked secrets bundled into build artifacts.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
Detects potential exfiltration activity by identifying HTTP POST/PUT requests to known suspicious domains, including specific operator-controlled hosts and anonymous file sharing services, as well as the use of HTTP Range headers for bulk API data exfiltration.
Detects indicators of cross-site scripting (XSS) attacks aimed at stealing web session cookies. The rule covers the injection of malicious scripts into client responses, anomalous CORS preflight responses that could facilitate data exfiltration, and subsequent HTTP callbacks or beaconing containing cookie data to external endpoints.
Detects network activity communicating with Google Drive domains (drive.google.com and www.googleapis.com). This rule monitors outbound traffic, which may indicate the use of Google Drive as a command-and-control (C2) channel or for unauthorized data exfiltration.
Detects the presence of a specific sentinel string 'data.external.telemetry' within Terraform provisioner job logs, which indicates the execution of unauthorized data-collection logic within a compromised or backdoored Terraform module.
Detects network activity communicating with Google Drive domains (drive.google.com and www.googleapis.com). This rule monitors outbound traffic, which may indicate the use of Google Drive as a command-and-control (C2) channel or for unauthorized data exfiltration.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects HTTP traffic patterns associated with the JSCeal malware family, specifically focusing on the exfiltration of crypto wallet information and account balances. The rule identifies communication to suspicious domains, unauthorized access to balance field names, and the masquerading of traffic to impersonate legitimate exchanges like Binance.
Detects HTTP traffic patterns associated with the JSCeal malware family, specifically focusing on the exfiltration of crypto wallet information and account balances. The rule identifies communication to suspicious domains, unauthorized access to balance field names, and the masquerading of traffic to impersonate legitimate exchanges like Binance.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
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