Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
DNSExfiltrator allows for transferring (exfiltrate) a file over a DNS request covert channel
Detects the FTP STOR command uploading a file with a .pcap extension to an external host on port 21 or 20 — consolidated from three overlapping detections (generic server, router-specific, and capture-file variants). Indicates an adversary (e.g. Fire Ant/UNC3886) exfiltrating captured network traffic from a compromised network device via FTP.
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 anomalous use of the 'X-Grafana-URL' header in conjunction with an 'Authorization: Bearer' token, indicative of an attempt to exfiltrate a service account token to an unauthorized or external domain, exploiting CVE-2026-15583.
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.
The following analytic detects suspicious data chunking activities that involve the use of split or dd, potentially indicating an attempt to evade detection by breaking large files into smaller parts.
Attackers may use this technique to bypass size-based security controls, facilitating the covert exfiltration of sensitive data.
By monitoring for unusual or unauthorized use of these commands, this analytic helps identify potential data exfiltration attempts, allowing security teams to intervene and prevent the unauthorized transfer of critical information from the network.
Attackers may use this technique to bypass size-based security controls, facilitating the covert exfiltration of sensitive data.
By monitoring for unusual or unauthorized use of these commands, this analytic helps identify potential data exfiltration attempts, allowing security teams to intervene and prevent the unauthorized transfer of critical information from the network.
This rule detects process command line arguments that include the string 'data.external.telemetry', which may indicate the use of specialized tools, telemetry collection agents, or unauthorized data exfiltration channels.
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.
This rule detects process command line arguments that include the string 'data.external.telemetry', which may indicate the use of specialized tools, telemetry collection agents, or unauthorized data exfiltration channels.
This rule detects process command line arguments that include the string 'data.external.telemetry', which may indicate the use of specialized tools, telemetry collection agents, or unauthorized data exfiltration channels.
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 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.
This rule detects potential data exfiltration by monitoring write activity to external USB storage devices. It identifies scenarios where a high number of files (more than 25) or a significant total volume of data (more than 100MB) is written to a connected USB device within a short timeframe.
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