Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a high volume of successful network connections to multiple unique cloud storage services (Dropbox, Box.com, OneDrive) from a single device and user account within an hour. This could indicate data exfiltration or unauthorized access to cloud storage.
This rule detects an unusual spike in 'Export' or 'Download' operations within Azure Activity logs by a single caller. It triggers when a user performs 5 or more such operations within an hour, which could indicate data exfiltration attempts or suspicious data access patterns.
This rule detects when a single user downloads 50 or more files from OneDrive within a one-hour period. This could indicate data exfiltration or unauthorized bulk access to sensitive information.
This rule detects when a single process account creates 5 or more files containing 'database', 'db', or '.sql' in their filenames within a one-hour window. This could indicate an attempt to stage, exfiltrate, or manipulate database files.
This rule detects an unusual spike in large file downloads from SharePoint by a single user within a one-hour window. It specifically looks for users downloading 5 or more files, each larger than 100MB, from SharePoint.
This rule detects unusually large network uploads from devices. It identifies successful network connections where individual transfers exceed 100MB and aggregates these transfers by account name and hour. The rule then flags any account that has uploaded a total of 1TB or more within a single hour. This pattern could indicate data exfiltration, unauthorized data synchronization, or other malicious activities involving significant data transfer volumes.
This rule detects an unusually high volume of file sharing events from a single user in OneDrive within a one-hour window. Specifically, it looks for five or more 'SharingSet' or 'AnonymousLinkCreated' operations by the same UserId within an hour, which could indicate data exfiltration or unauthorized sharing.
This rule detects network connections to a specific Discord webhook URL and another suspicious domain (78smp.com/m/). This pattern is often associated with malware attempting to exfiltrate data or establish command and control (C2) via Discord webhooks, or other suspicious domains.
Detects the exploitation or configuration manipulation of the Firefox browser.smartwindow.enabled feature, which can be abused by an attacker to exfiltrate sensitive browser data such as history, tab URLs, and secret query-string parameters to a remote endpoint. The rule monitors for network connections containing known exfiltration path signatures, connections to hardcoded PoC server addresses, or the modification of configuration settings related to the SmartWindow feature.
This rule detects potential command and control (C2) activity associated with a known npm RAT, identified by network connections to specific C2 infrastructure (95.216.92.207:8080) or DNS resolution of 'nvidiadriver.net'. The rule specifically flags these events when performed by common execution tools like 'python.exe' or 'chost.exe', or when the process image is running from a temporary directory, which is a common persistence or execution indicator for malware.
Detects unauthorized or suspicious processes reading sensitive credential files (AWS, .env, etc.) and subsequently initiating a successful network connection to an external destination within a 5-minute window. This behavior is a common indicator of credential exfiltration.
This rule detects outbound HTTP requests to Bing's 'searchbyimage' functionality that contain an image URL pointing to a domain outside of Microsoft or Bing. This behavior is associated with a potential data exfiltration technique (referenced as CVE-2026-42824) where internal information is encoded into an image URL and passed to an external, attacker-controlled, or third-party web service via the Bing search engine to bypass traditional network egress controls.
Detects potential data exfiltration by monitoring interpreter processes (Python, Node.js) that access sensitive local credential/configuration files and subsequently connect to known cloud storage or code repository APIs (Dropbox, GitHub, Google Cloud). The rule correlates file access events with network connection activity.
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 suspicious modifications to GitHub Actions workflows, such as unauthorized file overwrites, commits by bot impersonation identities (e.g., dependabot, renovate), or the upload of sensitive artifacts like 'format-results.txt'. These activities are indicative of IronWorm-style attacks targeting CI/CD pipelines to exfiltrate secrets via build artifacts.
Detects suspicious behavior associated with ADNotificationManager.exe, including DLL side-loading of vcruntime140_1.dll, loading of DLLs from user-writable directories (potential DLL hijacking), and the spawning of Rclone.exe for potential data exfiltration via SFTP.
Detects BQTLock (BaqiyatLock) ransomware activities involving the exfiltration of stolen data, credentials, or infection reports. The rule identifies suspicious outbound network connections to known C2-enabling web services (Telegram Bot API and Discord webhooks) initiated by the BQT.exe or start.exe processes, which are typical indicators of this ransomware variant.
This rule detects high-volume or repeated outbound connections to Mega cloud storage domains (mega.nz, mega.co.nz, etc.) by processes that are not identified as standard web browsers. Such activity may indicate data exfiltration, automated file staging, or unauthorized use of cloud storage services.
Detects DNS queries to Gofile infrastructure originating from processes executing from typically transient directories (AppData or Temp). This behavior is characteristic of VILE ransomware, which stages compressed user files in these directories before exfiltrating them via Gofile as part of a double-extortion strategy.
Detects high-volume data access or exfiltration from Azure/Office 365 cloud environments via common scripting/automation user-agents. The rule monitors API requests to users, mail, drive, or files endpoints by non-standard clients (e.g., python, curl, Go) from previously unseen locations, calculating a risk score based on the number of endpoints accessed and the total data volume.
Detects the use of the rclone tool with data transfer commands (copy, move, sync, copyto, moveto) originating from a GoAnywhere server process or common interactive shell processes (cmd.exe, powershell.exe). This activity is highly suspicious and could indicate data exfiltration.
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