Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the use of CertUtil.exe with the 'decode' argument, which may indicate an attempt to decode a previously encoded file, potentially containing malicious payloads. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving CertUtil.exe. This activity is significant because attackers often use CertUtil to decode malicious files downloaded from the internet, which are then executed to compromise the system. If confirmed malicious, this activity could lead to unauthorized code execution, further system compromise, and potential data exfiltration.
The following analytic detects the use of the EncodedCommand parameter in PowerShell processes. It leverages Endpoint Detection and Response (EDR) data to identify variations of the EncodedCommand parameter, including shortened forms and different command switch types. This activity is significant because adversaries often use encoded commands to obfuscate malicious scripts, making detection harder. If confirmed malicious, this behavior could allow attackers to execute hidden code, potentially leading to unauthorized access, privilege escalation, or persistent threats within the environment. Review parallel events to determine legitimacy and tune based on known administrative scripts.
This detection identifies potentially suspicious usage of sqlcmd.exe, focusing on command patterns that may indicate data exfiltration, reconnaissance, or malicious database operations. The detection looks for both short-form (-X) and long-form (--flag) suspicious parameter combinations, which have been observed in APT campaigns targeting high-value organizations. For example, threat actors like CL-STA-0048 have been known to abuse sqlcmd.exe for data theft and exfiltration from compromised MSSQL servers. The detection monitors for suspicious authentication attempts, output redirection, and potentially malicious query patterns that could indicate unauthorized database access or data theft.
The analytic detects headless browser activity accessing mockbin.org or mocky.io. It identifies processes with the "--headless" and "--disable-gpu" command line arguments, along with references to mockbin.org or mocky.io. This behavior is significant as headless browsers are often used for automated tasks, including malicious activities like web scraping or automated attacks. If confirmed malicious, this activity could indicate an attempt to bypass traditional browser security measures, potentially leading to data exfiltration or further exploitation of web applications.
The following analytic detects the creation of a local administrator account using the "net.exe" command. It leverages Endpoint Detection and Response (EDR) data to identify processes named "net.exe" with the "/add" parameter and keywords related to administrator accounts. This activity is significant as it may indicate an attacker attempting to gain persistent access or escalate privileges. If confirmed malicious, this could lead to unauthorized access, data theft, or further system compromise. Review the process details, user context, and related artifacts to determine the legitimacy of the activity.
Detects the creation of a mutex with a pattern matching new SmokeLoader versions (2025 alpha and 2025). The malware's main module is injected into explorer.exe, which then creates this distinct mutex to prevent multiple instances from running.
Detects attempts to add sensitive privileges to a process token, a common technique for local privilege escalation. This could be part of an exploit chain following an information disclosure vulnerability like CVE-2025-53136.
The analytic detects outbound network connections from an endpoint process to suspicious or non-standard ports. It uses Cisco Network Visibility Module flow data to identify processes communicating over ports like 4444, 2222, or 51820, which are commonly associated with tools such as Metasploit, SliverC2, other penetration testing tools, red team activities, or malware. These connections warrant further investigation, especially when initiated by unexpected or non-network-native binaries.
This detection identifies potential FakeCAPTCHA/ClickFix clipboard hijacking campaigns by looking for PowerShell execution with hidden window parameters and distinctive strings related to fake CAPTCHA verification. These campaigns use social engineering to trick users into pasting malicious PowerShell commands from their clipboard, typically delivering information stealers or remote access trojans.
The analytic detects the creation of an Outlook Macro (VbaProject.OTM) by a suspicious process. This file is normally created when you create a macro from within Outlook. If this file is created by a process other than Outlook.exe it may be maliciously created. This detection leverages data from the Filesystem datamodel, specifically looking for the file creation event for VbaProject.OTM. This activity is significant as it is commonly associated with some malware infections, indicating potential malicious intent to harvest email information.
This analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, or data exfiltration. It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names. This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
This analytic detects the configuration of TFTP services on Cisco IOS devices that could be used to exfiltrate sensitive configuration files. Threat actors like Static Tundra have been observed configuring TFTP servers to make device configuration files accessible for exfiltration after gaining initial access. The detection specifically looks for commands that expose critical configuration files such as startup-config, running-config, and other sensitive system information through TFTP. This activity is particularly concerning as it may represent an attempt to steal credentials, network topology information, and other sensitive data stored in device configurations.
The analytic identifies the execution of Advanced Installer MSIX Package Support Framework (PSF) components, specifically the AI_STUBS executables with the original filename 'popupwrapper.exe'. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process paths and original filenames. This activity is significant as adversaries have been observed packaging malicious content within MSIX files built with Advanced Installer to bypass security controls. These AI_STUBS executables (with original filename 'popupwrapper.exe') are hallmark artifacts of potentially malicious MSIX packages. If confirmed malicious, this could allow attackers to execute arbitrary code, establish persistence, or deliver malware while evading traditional detection mechanisms.
The analytic detects the use of msiexec.exe with an HTTP or HTTPS URL in the command line, indicating a remote file download attempt. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs that include command-line details. This activity is significant as it may indicate an attempt to download and execute potentially malicious software from a remote server. If confirmed malicious, this could lead to unauthorized code execution, system compromise, or further malware deployment within the network.
The analytic detects `wmic.exe` loading a remote XSL script via a URL. This detection leverages Endpoint Detection and Response (EDR) data, focusing on command-line executions that include HTTP/HTTPS URLs and the /FORMAT switch. This activity is significant as it indicates a potential application control bypass, allowing adversaries to execute JScript or VBScript within an XSL file. If confirmed malicious, this technique can enable attackers to execute arbitrary code, escalate privileges, or maintain persistence using a trusted Windows tool, posing a severe threat to the environment.
The analytic detects the use of Windows InstallUtil.exe with an HTTP or HTTPS URL in the command line. This activity is significant as it may indicate an attempt to download and execute malicious code, potentially bypassing application control mechanisms. If confirmed malicious, this could lead to unauthorized code execution, privilege escalation, or persistent access within the environment. Analysts should review the parent process, network connections, file modifications, and related processes for further investigation.
The analytic detects the use of `certutil.exe` to download files using the `-URL`, `-urlcache` or '-verifyctl' arguments. This behavior is identified by monitoring command-line executions for these specific arguments via Endpoint Detection and Response (EDR) telemetry. This activity is significant because `certutil.exe` is a legitimate tool often abused by attackers to download and execute malicious payloads. If confirmed malicious, this could allow an attacker to download and execute arbitrary files, potentially leading to code execution, data exfiltration, or further compromise of the system.
This analytic detects the use of Windows command-line copy utilities, such as xcopy, to systematically collect files from user directories and consolidate them into a centralized location on the system. This activity is often indicative of malicious behavior, as threat actors frequently use such commands to gather sensitive information, including documents with .doc, .docx, and .pdf extensions. The detection focuses on identifying recursive copy operations targeting user folders, such as Documents, Desktop, or other directories that commonly store personal or organizational files. Malware that performs this behavior typically attempts to evade detection by using legitimate Windows utilities, executing commands through cmd.exe or other scripting hosts, and writing the collected files to directories like C:\ProgramData or temporary storage locations. Once collected, the information may be staged for exfiltration, used for lateral movement, or leveraged for further compromise of the environment. By monitoring for these types of file collection patterns, security teams can identify suspicious activity early, differentiate between normal administrative tasks and potentially malicious scripts, and prevent sensitive data from being exfiltrated. This analytic is particularly relevant for environments where confidential documents are present and attackers may attempt to harvest them using built-in Windows tools.
The following analytic detects the enumeration of Windows services using the net start command, which is a built-in utility that lists all running services on a system. Adversaries, system administrators, or automated tools may use this command to gain situational awareness of what services are active, identify potential security software, or discover opportunities for privilege escalation and lateral movement. The execution of net start is often associated with reconnaissance activity during the early stages of an intrusion, as attackers attempt to map out the system’s defense mechanisms and operational services. By monitoring process execution for instances of cmd.exe /c net start or similar command-line usage, defenders can detect potentially suspicious activity. Correlating this behavior with other reconnaissance commands, such as tasklist or sc query, strengthens detection fidelity. While net start is not inherently malicious, unusual or repeated use in non-administrative contexts should be flagged for further investigation.
This detection identifies suspicious child processes of SpeechRuntime.exe that could indicate abuse of a vulnerability. SpeechRuntime is vulnerable to an attack that allows a user to run code on another user's session remotely and stealthily by exploiting a Windows COM class. When this class is invoked, it launches SpeechRuntime.exe in the context of the currently logged-on user. Because this COM class is susceptible to COM Hijacking, an attacker can alter the registry remotely to point to a malicious DLL. By dropping that DLL on the target system (e.g., via SMB) and triggering the COM object, the attacker causes the malicious DLL to load into SpeechRuntime.exe and execute under the user's context. The rule specifically looks for SpeechRuntime.exe spawning common command and scripting interpreters or tools used for execution and file transfer.
The following analytic detects the use of Windows Management Instrumentation Command-line (WMIC) for disk drive discovery activities on a Windows system. This process involves monitoring commands such as “wmic diskdrive” which are often used by administrators for inventory and diagnostics but can also be leveraged by attackers to enumerate hardware details for malicious purposes. Detecting these commands is essential for identifying potentially unauthorized asset reconnaissance or pre-attack mapping behaviors. By capturing and analyzing WMIC disk drive queries, security teams can gain visibility into suspicious activities, enabling them to respond promptly and strengthen the organization’s security posture against insider threats or lateral movement attempts.
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