Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential lateral movement attempts originating from IIS web servers (identified by 'w3wp.exe' as the initiating process) to other internal IP addresses using common lateral movement ports (SMB, RDP, WinRM, SSH). It specifically looks for successful network connections from an IIS server to a private IP address on one of the specified ports, where the remote IP is not the local IP.
Detects suspicious payload execution or unexpected child processes spawning directly from the IIS worker process (w3wp.exe), which is a common indicator of web shell activity or exploit payload execution on vulnerable IIS instances.
Detects suspicious command-line executions involving common Windows system binaries (rundll32.exe, mshta.exe, certutil.exe, wmic.exe) combined with keywords often associated with network communication or data transfer (http, https, base64, /transfer). This pattern can indicate attempts at downloading malicious payloads, exfiltrating data, or executing encoded commands.
This rule detects network connections or DNS queries to a specific Internet Computer Protocol (ICP) domain and canister ID (tdtqy-oyaaa-aaaae-af2dq-cai.raw.icp0.io or tdtqy-oyaaa-aaaae-af2dq-cai). This pattern is associated with command and control (C2) activity, where compromised systems communicate with an adversary-controlled server.
This rule detects unusual network connections from processes to legitimate service endpoints that are commonly abused for Command and Control (C2) activities (LOLC2). It specifically looks for connections to services like Telegram, Slack, Discord, GitHub, Google APIs, Pastebin, Dropbox, and others, originating from processes that are not recognized as legitimate applications for those services, and not from common system processes or standard program file paths. This helps identify potential adversary communication channels masquerading as legitimate traffic.
This rule detects unusual network connections from processes to legitimate service endpoints that are commonly abused for Command and Control (C2) activities (LOLC2). It specifically looks for connections to services like Telegram, Slack, Discord, GitHub, Google APIs, Pastebin, Dropbox, and others, originating from processes that are not recognized as legitimate applications for those services, and not from common system processes or standard program file paths. This helps identify potential adversary communication channels masquerading as legitimate traffic.
This rule detects the creation of a new local user account followed by its addition to the local administrators group within a 10-minute timeframe. It monitors process command lines for 'net.exe' or 'powershell.exe' creating users and then adding them to the 'administrators' group, excluding domain operations.
This rule detects unusual network connections from processes to legitimate service endpoints that are commonly abused for Command and Control (C2) activities (LOLC2). It specifically looks for connections to services like Telegram, Slack, Discord, GitHub, Google APIs, Pastebin, Dropbox, and others, originating from processes that are not recognized as legitimate applications for those services, and not from common system processes or standard program file paths. This helps identify potential adversary communication channels masquerading as legitimate traffic.
This rule detects instances where a user has overridden Microsoft SmartScreen warnings or bypassed Network Protection. This could indicate a user intentionally accessing potentially malicious content or an attempt to circumvent security controls.
Detects attempts by non-Azure Arc agent processes to access '.key' files within the Azure Arc Tokens directory. This activity could indicate an attempt to exploit CVE-2026-26117 or other credential access techniques targeting Azure Arc service principal tokens.
Detects the execution of JavaScript code within the Deno runtime via data URIs. This technique can be used by adversaries to execute in-memory payloads, bypassing traditional file-based detection mechanisms. The rule specifically looks for 'deno.exe' in the process filename or original filename and the presence of 'data:application/javascript' in the process command line.
This rule detects outbound network connections to URLs associated with common file sharing services (e.g., Dropbox, Mega, Gofile) or temporary email providers (e.g., Temp-Mail). Such connections can indicate data exfiltration attempts, use of unsanctioned services, or communication with command and control infrastructure.
This rule detects attempts to discover sensitive browser information by monitoring command-line executions. It specifically looks for processes that are not legitimate browser applications or security tools, attempting to access common browser profile paths and sensitive database files (e.g., Login Data, Cookies, History, places.sqlite, logins.json, key4.db, key3.db). This activity could indicate an adversary attempting to exfiltrate user credentials, browsing history, or other personal data stored by web browsers.
KQL Query from file: INC Ransomware Command Execution
Detects processes making HTTP/HTTPS requests to localhost on ports 40341 or 40342 for '/metadata'. This pattern can indicate local service discovery, inter-process communication, or potentially malicious activity attempting to interact with local services, possibly for credential access or privilege escalation.
Detects the creation of batch or command scripts in the Windows Startup folder. This is a common persistence technique used by malware like VOID#GEIST (spol.bat) to ensure execution on user logon. The rule specifically looks for file creation events of .bat or .cmd files in the Startup folder, initiated by processes commonly associated with malicious downloads or script execution such as cmd.exe, powershell.exe, curl.exe, cscript.exe, and wscript.exe.
This rule detects when two different MSI installations, both related to known VPN clients (Pulse Secure, Fortinet, Ivanti, GlobalProtect), occur on the same device within a short timeframe. This could indicate an attempt to establish redundant access, bypass security controls, or an unusual administrative activity.
This rule detects anomalous child processes spawned by mmc.exe. It specifically looks for processes initiated by mmc.exe that are not located in expected system directories or common program file paths, indicating potential abuse of the Microsoft Management Console for malicious execution.
This rule detects the access or creation of Microsoft Office files (docx, xlsx, pptx) that have 'password' or related keywords in their filename or folder path. It also attempts to identify if these files contain password-related content through DLP indicators, suggesting potential sensitive data exposure or staging.
Detects 'Early Bird' Asynchronous Procedure Call (APC) injection into 'explorer.exe' processes. This technique involves a suspicious parent process (like a script interpreter) creating a suspended 'explorer.exe' process, then injecting malicious code using API calls such as 'QueueUserAPC' and 'WriteProcessMemory' before the process fully starts. This rule specifically looks for the combination of these events within a short timeframe.
Detects when 'Cursor.exe' (a legitimate application) spawns common command-line utilities (cmd.exe, powershell.exe, pwsh.exe, curl.exe, wget.exe, certutil.exe, bitsadmin.exe) with command-line arguments indicative of downloading files from the internet (e.g., containing 'http://', 'https://', 'ftp://', '-o', '-OutFile', 'iwr', 'DownloadString', 'DownloadFile'). This could indicate malicious activity where 'Cursor.exe' is being abused to facilitate ingress tool transfer or execute malicious payloads.
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