Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potentially malicious data exfiltration activity. It identifies sequences of events where a process performs file enumeration (directory listing), followed by the creation of a ZIP or RAR archive in temporary or local application data directories with randomized filenames. Finally, it correlates this behavior with subsequent outbound network connections from the same process to known cloud storage and file-sharing providers, flagging anomalous archive creation rates.
Detects network connections from suspicious or unexpected processes to common public webhook and automation services, which may indicate data exfiltration or automated C2 communication.
This rule detects network activity associated with the easy-day-js Mastra npm supply chain attack. Specifically, it identifies data exfiltration over TLS to a secondary C2 server (23.254.164.123:443) and the download of a stage-2 payload from a primary C2 server (23.254.164.92:8000) via HTTP, looking for the URI '/update/49890878'.
Detects unauthorized HTTPS POST requests to sensitive GitHub API endpoints (gists, repository contents, user emails) originating from standard command-line tools like curl, node, and PowerShell. Additionally, it identifies suspicious git push operations initiated from within node-based installation scripts, which is indicative of credential harvesting and exfiltration behaviors exhibited by the Miasma worm.
Detects network connections to the Telegram API (api.telegram.org) from processes identified as LOLBins or residing in suspicious, potentially writable locations such as Temp, AppData, or user-defined directories. This activity is often indicative of C2 communication or data exfiltration by malware bypassing standard messaging client restrictions.
Detects network connections to Filen.io cloud storage initiated by processes other than common web browsers. This behavior is often associated with the use of command-line tools or scripts for unauthorized file exfiltration or data staging.
Detects attempts to exfiltrate data through Microsoft Copilot Enterprise Search by identifying URL clicks containing specific keywords ('extract', 'embed', 'img') in the query parameters. This could indicate an adversary trying to extract sensitive information or embed malicious content.
Detects anomalous activities targeting SaaS CRM applications (Salesforce, Microsoft Dynamics 365, HubSpot), including high-volume bulk exports, off-hours access, mass API queries for sensitive objects, and suspicious OAuth token grants.
Detects HTTP PUT requests directed at Wasabi Cloud Storage domains that originate from an Rclone user agent. This pattern is commonly indicative of data exfiltration activities where an attacker uses the Rclone utility to synchronize or upload sensitive data to unauthorized cloud storage.
This rule monitors DeviceNetworkEvents to identify processes that are not typically associated with cloud storage and synchronization software initiating network connections on port 443 to popular cloud providers (OneDrive, SharePoint, Dropbox). This behavior is often indicative of data exfiltration to cloud storage services or potential command and control communication disguised as web traffic.
This rule monitors DeviceNetworkEvents to identify processes that are not typically associated with cloud storage and synchronization software initiating network connections on port 443 to popular cloud providers (OneDrive, SharePoint, Dropbox). This behavior is often indicative of data exfiltration to cloud storage services or potential command and control communication disguised as web traffic.
Detects data exfiltration through Discord webhook POST requests
This rule detects network connections to known cloud storage, file hosting, and webhook services (Discord, Pastebin, Dropbox, Telegram, AnonFiles) initiated by processes other than standard web browsers. Such behavior is often indicative of data exfiltration or C2 activity using legitimate web services to blend in with normal traffic.
This rule detects activities associated with the NotDoor malware used by APT28 for email-based exfiltration. It specifically monitors for the creation of staging files in temporary directories, the use of Outlook.exe to establish external SMTP connections on common mail ports, and the transmission of emails to known adversary-controlled addresses.
Detects network connections from internal endpoints to Filen.io cloud storage domains and subdomains. The rule specifically flags interactions involving common API endpoints for file operations (upload, download, directory listing) as 'Critical' risk, while generic traffic to the domain is classified as 'High' risk.
Detects browser processes connecting to internal IP addresses followed by a connection to an external (non-whitelisted) destination within a 2-minute window. This behavior is indicative of potential data staging or exfiltration, where a web browser is used to access internal resources before transferring data to an external site.
Detects browser processes connecting to internal IP addresses followed by a connection to an external (non-whitelisted) destination within a 2-minute window. This behavior is indicative of potential data staging or exfiltration, where a web browser is used to access internal resources before transferring data to an external site.
Detects high-frequency access to sensitive web paths (e.g., /admin, /vault, /credentials) from common web browsers on a device. This activity may indicate malicious credential harvesting, administrative panel enumeration, or sensitive data exfiltration performed by an adversary or malicious browser extension.
Detects browser processes connecting to internal IP addresses followed by a connection to an external (non-whitelisted) destination within a 2-minute window. This behavior is indicative of potential data staging or exfiltration, where a web browser is used to access internal resources before transferring data to an external site.
This rule detects potential JDY botnet activity characterized by host fingerprinting and data exfiltration patterns. It looks for repeated POST requests to specific URI patterns ('/gate', '/report', '/scan') accompanied by a significant volume of outbound data, indicative of automated C2 communication or data staging. The rule aggregates metrics per host to identify high-volume exfiltration patterns and calculates a risk score based on the frequency of requests and the diversity of destination IPs.
Detects high-volume outbound network connections (exceeding 10MB) originating from processes associated with AI-driven chatbot or productivity applications (e.g., ChatGPT, Perplexity). This rule identifies potential data exfiltration occurring over legitimate, expected software channels.
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