Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unusual processes making multiple connections to Google Sheets or OAuth2 APIs within a short timeframe, excluding known browsers and Google applications. This could indicate unauthorized data access, exfiltration, or command and control activity.
This rule detects DNS queries containing an exceptionally long subdomain label (50 or more characters). Such patterns are often indicative of DNS tunneling techniques where data is encoded within the subdomain portion of a DNS query to bypass network security controls or establish command-and-control channels.
This rule detects outbound FTP traffic containing the 'STOR' command, which is used in the FTP protocol to upload files to a remote server. This behavior is a common indicator of unauthorized data exfiltration.
Detects DNS TXT query responses containing anomalously large RDATA payloads (exceeding 100 bytes). Large TXT records are frequently used in DNS tunneling or data exfiltration scenarios to smuggle data out of a network while bypassing traditional network security controls. The rule applies a threshold limit to identify persistent, potentially malicious exfiltration activity from a specific source over a 60-second window.
This rule monitors for FTP 'STOR' commands followed by large data transfers (exceeding 64KB) initiated from internal hosts to external destinations. This pattern is often indicative of data exfiltration using the File Transfer Protocol (FTP).
This rule detects large HTTP POST requests (greater than 10MB) originating from the internal network to external destinations, which may indicate bulk data exfiltration.
Detects the creation or modification of Power Automate Flows that utilize non-Microsoft domains for HTTP or webhook connectors. Adversaries may abuse Power Automate to automate exfiltration or command-and-control tasks by connecting workflows to external malicious endpoints.
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
Detects the use of the FTP STOR command to transfer files with sensitive extensions (.docx, .pdf, .xlsx, .zip, .7z) to external networks. This behavior is indicative of potential data exfiltration via an unencrypted alternative protocol.
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
This rule detects outbound FTP traffic containing the 'STOR' command, which is used in the FTP protocol to upload files to a remote server. This behavior is a common indicator of unauthorized data exfiltration.
Detects the use of legitimate command-line utilities such as rclone, AWS CLI, AzCopy, curl, and wget to upload data to cloud storage endpoints, which is a common technique used for data exfiltration.
This rule detects the execution of common scripting interpreters (powershell.exe, wscript.exe, cscript.exe, mshta.exe) where the command line arguments contain domains associated with the Dropbox API. This behavior is indicative of potential data exfiltration or the downloading of malicious payloads via a legitimate cloud storage service, a common technique for bypassing network filters and security controls.
Detects the execution of PowerShell commands commonly used for host reconnaissance (e.g., whoami, ipconfig, net group, systeminfo) combined with the use of PowerShell to perform an HTTP POST request to a suspicious external IP address (202.182.102.5), suggesting post-compromise reconnaissance data exfiltration.
This rule detects anomalous DNS query activity that may indicate command and control (C2) or data exfiltration over the DNS protocol. It monitors for three specific indicators: excessive query volume to a single domain family within a short timeframe, the use of abnormally long DNS subdomain labels, and the transmission of TXT record queries from endpoints not acting as designated DNS servers.
This rule detects anomalous high-volume file download activities from Microsoft SharePoint and OneDrive for Business, which may indicate data exfiltration. The rule aggregates download events by user and IP address over 10-minute intervals and triggers when the download count exceeds 200, excluding known service/backup accounts.
This rule detects network connections initiated by common Windows script interpreters (PowerShell, WScript, CScript, MSHTA) to known public paste or text sharing services. Adversaries often use these sites to host malicious payloads, C2 configurations, or to exfiltrate data, bypassing traditional network blocks by using reputable services. The rule excludes processes signed by Microsoft to reduce noise.
Detects outbound network connections from internal hosts to domains associated with the Polymarket Trap / Miasma infostealer campaign, including dedicated servers (stitch-production.org, log-taker.store) and vercel.app serverless endpoints used for credential exfiltration.
This rule detects an unusually high volume of file deletion events on a device within a short time frame (100 or more files deleted within a 5-minute window). This activity can be indicative of malicious behaviors such as ransomware encrypting and deleting original files, data wiping attacks, or an adversary attempting to remove forensic evidence by deleting logs or other critical files.
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
Detects unauthorized access to sensitive cryptographic files, such as SSH private keys, GPG secret keys, or Windows certificate store files, by unauthorized or anomalous processes (specifically node/npm or processes within /tmp). This is followed by potential outbound exfiltration via an external network connection or the mass access of multiple sensitive files within a short timeframe.
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