Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the sideloading of 'UnityPlayer.dll' by 'BrowserViewUtility.exe' in conjunction with network communication to a 'windows.net' domain. This activity is indicative of the 'Dragon Weave' campaign, specifically the 'RustCloak' malware, which uses DLL sideloading for execution and Azure cloud for C2.
Detects non-browser processes accessing sensitive browser data files (such as Login Data, Cookies, or key stores) followed by network activity to known suspicious, cryptocurrency, or potential malware-hosting domains. This behavior is indicative of credential theft and exfiltration by information-stealing malware.
This rule detects suspicious process command lines that indicate potential tunneling activity. It looks for commands containing 'tunnel', '--url', and '--logfile', while excluding legitimate 'cloudflared.exe' processes. This pattern is often used by adversaries to establish covert communication channels or exfiltrate data.
This rule detects potential data exfiltration by identifying devices that make a high number of network connections (3 or more within an hour) to various remote IPs using common file transfer and email protocols (FTP, SFTP, SMB, SMTP) on their standard ports (21, 22, 445, 25, 587). This pattern can indicate an adversary attempting to exfiltrate collected data from a compromised system.
Detects network connections to gateway, ingest, or egest subdomains of Filen.io, utilized by PRISMEX Covenant Grunts for C2.
This rule detects VBScript execution (via wscript.exe or cscript.exe) that attempts to load WinHTTP objects (WinHttpRequest.5.1, MSXML2.XMLHTTP) or uses generic object creation functions (CreateObject, GetObject). This behavior is often associated with VBScripts establishing command and control (C2) communication or performing data exfiltration.
Detects explorer.exe making DNS requests to Discord or Telegram, which is anomalous and indicates potential process injection for data exfiltration. This behavior is associated with information stealer malware like Phantom Stealer.
Detects suspicious network connections originating from processes within the AppData\Roaming folder to common web ports (80, 443), or any connection to the domain 'birdeemusic.com'. This pattern is often associated with malware establishing command and control (C2) communication or data exfiltration, especially when originating from non-browser processes.
Detects Python processes executing from suspicious locations like AppData or Temp folders that also establish outbound network connections. This behavior can indicate the execution of malicious Python scripts, often associated with malware, initial access, or command and control activities.
Parses outbound network requests from AI applications where sensitive local context (SSH keys, tokens) was successfully extracted and appended to an external URL. Specifically, it looks for network connections initiated by 'python.exe' where the remote URL contains common sensitive parameter names like 'token', 'key', 'data', or 'auth' followed by a string of at least 20 alphanumeric characters, hyphens, or underscores, indicating potential exfiltration of credentials or sensitive data.
Detects WinSCP command-line use that performs scripted uploads, synchronisation, or non-interactive transfer, which could indicate data exfiltration or automated file transfers.
Detects outbound TCP port 445 traffic (SMB) from a host identified as PeopleSoft, WebLogic, or PIA to a public IP address. This could indicate data exfiltration or forced authentication attempts.
This rule detects potential ransomware activity by identifying a combination of three distinct behaviors occurring on a single endpoint within a short window: high-volume file modifications (indicative of file encryption), deletion of system recovery resources (e.g., volume shadow copies, backup catalogs), and high-frequency network activity (indicative of data exfiltration). The rule uses cross-event correlation to reduce false positives by requiring all three signals to be present.
This rule detects outbound network connections from devices to a specific remote IP address (62.102.148.212) on a set of suspicious remote ports (37393, 45839, 38471, 12345, 4444, 5555). This pattern is indicative of potential command and control (C2) communication or data exfiltration to a known malicious endpoint.
This rule detects network connections to known IP addresses associated with FortiBleed activity, including C2, pentest labs, credential validation, and sniffer nodes. It identifies both successful connections and connection attempts.
Detects network events where FTP (port 21) traffic contains specific timestamp-like patterns in the RemoteUrl, which could indicate an attempt to exploit the Squidbleed vulnerability related to timestamp-to-filename parsing anomalies. The rule looks for 'LIST' command combined with '12:34:56', '2026-', or 'timestamp' in the URL.
This rule detects network communication associated with the 'easy-day-js Mastra npm Supply Chain' compromise. The first alert identifies C2 exfiltration attempts over TLS to a specific IP address (23.254.164.123) on port 443. The second alert identifies a stage-2 payload download from another specific IP address (23.254.164.92) on port 8000, specifically looking for the URI '/update/49890878'. These indicators are linked to the 'protocal.cjs' and 'setup.cjs' malware, respectively, and are part of a supply chain attack.
This rule detects the use of 'curl' to perform HTTP PUT requests with binary data, a technique often employed by malware like Amos Stealer for data exfiltration. It specifically looks for command-line arguments '-X', 'PUT', and '--data-binary' in 'curl' process executions.
Detects FTP data connections initiated by 'squid.exe' on high port ranges (1024-65535). This could indicate an attempt to exfiltrate data using an alternative protocol, potentially related to the 'Squidbleed' vulnerability or other malicious activity.
This rule detects suspicious bulk access and transfer behavior targeting sensitive files, which could indicate data exfiltration. It identifies scenarios where a single account accesses a large number of files, totaling a significant size, within a short timeframe. The rule specifically looks for common sensitive file types such as spreadsheets, documents, PDFs, SQL databases, and backup files. This pattern is often associated with ransomware groups performing data leak extortion without encryption.
Detects HTTP network connections to the specific URI path and parameters used by the OnyxC2 stealer for C2 beaconing and data exfiltration.
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