Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects outbound network connections to 'stitch-production.org' or connections by node/bun runtime processes to GitHub API or 'stitch-production.org', which may indicate command and control communication or data exfiltration.
Detects network activity associated with Gamaredon threat group backdoors (PteroVDoor and PteroPSDoor) exfiltrating data to S3-compatible cloud storage providers. The rule identifies suspicious outbound network requests to specific domains ('wasabisys.com', 'i3storage.com') originating from processes that are not common browsers or trusted software, or by command-line execution of PowerShell, curl, or wget.
Detects the Amazon Q Developer language server or extension host spawning suspicious child processes (bash, sh, zsh, python, node) that execute commands involving AWS STS identity retrieval, external data exfiltration via network tools like curl/wget, or direct references to AWS credential environment variables. This pattern is indicative of potential Remote Code Execution (RCE) via malicious Model Context Protocol (MCP) auto-execution.
Detects anomalous activity where a single user or service principal downloads more than 5 Microsoft Teams meeting recordings within a 1-hour window. This behavior potentially indicates an insider threat or compromised account performing bulk harvesting of sensitive meeting content.
This rule detects the use of Rclone for cloud file synchronization or configuration file creation on endpoints that have shown recent activity related to QEMU virtualization. The detection correlates process execution or file creation events involving Rclone with prior QEMU execution within a 24-hour window, which may indicate an adversary using virtualization to stage or exfiltrate data.
Detects anomalous or suspicious behavior from Microsoft 365 Copilot agents, plugins, or sessions. This includes bulk access to files containing sensitive keywords, unauthorized export or sharing of sensitivity-labeled documents, and high-volume Microsoft Graph API read activity targeting sensitive paths in SharePoint or OneDrive.
Identifies the execution of wget.exe or curl.exe with command-line flags indicative of file uploads (specifically archives like zip, rar, or 7z), which may be used by adversaries to exfiltrate staged data to remote infrastructure.
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
Detects node.exe copying browser history files to temporary directories, associated with the protocal.cjs backdoor.
Detects activity associated with the unauthorized copying of sensitive system files (e.g., NTDS.dit, SAM, SYSTEM) using Volume Shadow Copy, or the use of Rclone for potential data exfiltration via SFTP, copy, or sync operations.
This rule detects potential data staging and exfiltration behavior characterized by large volumes of outbound network data combined with high frequency file write operations across multiple file types. It monitors Sysmon Event IDs 3 (Network connection) and 11 (FileCreate) to identify indicators often associated with pre-encryption staging by ransomware or data theft campaigns.
This rule detects potential data staging and exfiltration behavior characterized by large volumes of outbound network data combined with high frequency file write operations across multiple file types. It monitors Sysmon Event IDs 3 (Network connection) and 11 (FileCreate) to identify indicators often associated with pre-encryption staging by ransomware or data theft campaigns.
This rule detects potential large-scale exfiltration or staging of sensitive documents to common cloud storage locations (Dropbox, Google Drive, OneDrive) or removable media. The rule specifically triggers when a high count (more than 20) of files labeled as sensitive are accessed or transferred by a single user within a session, specifically outside of standard business hours (before 7 AM or after 8 PM).
Detects BQTLock ransomware (BQT.exe) identifying and exfiltrating captured desktop screenshots via the Telegram Bot API 'sendPhoto' endpoint. The rule monitors network connections initiated by the identified malware process to api.telegram.org.
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 instances where a non-standard browser process accesses sensitive browser credential files (e.g., Login Data, Cookies, key4.db) and simultaneously establishes a network connection to Discord or transmits data to a Discord webhook. This pattern is consistent with infostealer malware attempting to exfiltrate cached credentials via external services.
Detects suspicious activity within GitHub Actions, identifying potential exfiltration or malicious automation by correlating signals such as masquerading actors (e.g., bots like dependabot), specific IronWorm-associated commit message patterns, usage of secrets-related JSON expressions in logs, and the use of innocuous file names for artifact uploads.
This rule detects outbound network connections to common webhook and temporary storage services (e.g., discord.com webhooks, webhook.site, pipedream.net) initiated by processes other than standard web browsers. Such behavior is often indicative of automated data exfiltration, command-and-control (C2) communication, or malicious script activity using these services to bypass traditional network defenses.
Detects the unauthorized exfiltration of SSL private key files using Netcat to a known malicious C2 IP address (62.171.185.97). The rule monitors process execution commands that include specific file names associated with certificate harvesting or extraction tools being piped or transmitted over the network.
This rule detects suspicious activity on Oracle database hosts, including the spawning of unexpected child processes from Oracle service binaries (such as cmd.exe or shells), the creation or access of known exploit-related script filenames, and the use of UTL_FILE to write files with suspicious extensions to temporary directories, which are patterns indicative of exploitation attempts like DBMS_SCHEDULER remote code execution or data exfiltration.
Detects suspicious network connections to 'outlook-one.vercel.app' or 'api.telegram.org' when initiated by common web browsers (msedge.exe, chrome.exe, firefox.exe) or Outlook (outlook.exe). This pattern can indicate phishing attempts, credential harvesting, or data exfiltration via Telegram bots.
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