Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,443 detections
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The following analytic detects the use of 'curl' and 'wget' commands within a Linux environment. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, user information, and command-line executions. This activity is significant as 'curl' and 'wget' are commonly used for downloading files, which can indicate potential ingress of malicious tools. If confirmed malicious, this activity could lead to unauthorized code execution, data exfiltration, or further compromise of the system. Monitoring and tuning this detection helps identify and differentiate between normal and potentially harmful usage.
The following analytic identifies the use of the 'kmod' process to list kernel modules on a Linux system. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. While listing kernel modules is not inherently malicious, it can be a precursor to loading unauthorized modules using 'insmod'. If confirmed malicious, this activity could allow an attacker to load kernel modules, potentially leading to privilege escalation, persistence, or other malicious actions within the system.
The following analytic identifies potential enumeration of local network configuration on Linux systems.
It detects this activity by monitoring processes such as "arp," "ifconfig," "ip," "netstat," "firewall-cmd," "ufw," "iptables," "ss," and "route" within a 30-minute window.
This behavior is significant as it often indicates reconnaissance efforts by adversaries to gather network information for subsequent attacks.
If confirmed malicious, this activity could enable attackers to map the network, identify vulnerabilities, and plan further exploitation or lateral movement within the environment.
It detects this activity by monitoring processes such as "arp," "ifconfig," "ip," "netstat," "firewall-cmd," "ufw," "iptables," "ss," and "route" within a 30-minute window.
This behavior is significant as it often indicates reconnaissance efforts by adversaries to gather network information for subsequent attacks.
If confirmed malicious, this activity could enable attackers to map the network, identify vulnerabilities, and plan further exploitation or lateral movement within the environment.
Identifies execution of network share enumeration commands (smbutil, showmount) that can be leveraged by adversaries to discover accessible SMB and NFS resources, supporting internal reconnaissance and potential lateral movement.
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 can be 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.
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 can be 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.
The following analytic detects the use of Ntdsutil to export the Active Directory database (NTDS.dit). It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because exporting NTDS.dit can be a precursor to offline password cracking, posing a severe security risk. If confirmed malicious, an attacker could gain access to sensitive credentials, potentially leading to unauthorized access and privilege escalation within the network.
The following analytic identifies instances of reg.exe being launched from a command prompt (cmd.exe) that was not initiated by the user, as indicated by a parent process other than explorer.exe. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process names. This activity is significant because reg.exe is often used in registry manipulation, which can be indicative of malicious behavior such as persistence mechanisms or system configuration changes. If confirmed malicious, this could allow an attacker to modify critical system settings, potentially leading to privilege escalation or persistent access.
The following analytic detects the use of CreateDump.exe to perform a process dump. This binary is not native to Windows and is often introduced by third-party applications, including PowerShell 7. The detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, GUIDs, and complete command-line executions. This activity is significant as it may indicate an attempt to dump LSASS memory, which can be used to extract credentials. If confirmed malicious, this could lead to unauthorized access and lateral movement within the network.
The following 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.
The following analytic identifies the execution of `net.exe` with command-line arguments used to query global, local and domain groups. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant as it indicates potential reconnaissance efforts by adversaries to enumerate local or domain groups, which is a common step in Active Directory or privileged accounts discovery. If confirmed malicious, this behavior could allow attackers to gain insights into the domain structure, aiding in further attacks such as privilege escalation or lateral movement.
The following analytic detects the execution of AppCmd.exe to install a new module in IIS. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as adversaries may use it to install webshells or backdoors, leading to credit card scraping, persistence, and further post-exploitation. If confirmed malicious, this could allow attackers to maintain persistent access, execute arbitrary code, and potentially exfiltrate sensitive information from the compromised web server.
The following 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.
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 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.
The following analytic identifies network share discovery and collection activities performed on Windows systems using the Net command. Attackers often use network share discovery to identify accessible shared resources within a network, which can be a precursor to privilege escalation or data exfiltration. By monitoring Windows Event Logs for the usage of the Net command to list and interact with network shares, this detection helps identify potential reconnaissance and collection activities.
The following analytic identifies a suspicious `explorer.exe` process with the `/root` command-line parameter. This detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process and command-line data. The presence of `/root` in `explorer.exe` is significant as it may indicate parent process spoofing, a technique used by malware to evade detection. If confirmed malicious, this activity could allow an attacker to operate undetected, potentially leading to unauthorized access, privilege escalation, or persistent threats within the environment.
The following analytic identifies the creation of a new service on a remote endpoint using sc.exe. It leverages data from Endpoint Detection and Response (EDR) agents, specifically monitoring for EventCode 7045, which indicates a new service creation. This activity is significant as it may indicate lateral movement or remote code execution attempts by an attacker. If confirmed malicious, this could allow the attacker to establish persistence, escalate privileges, or execute arbitrary code on the remote system, potentially leading to further compromise of the network.
The following analytic detects the use of the decompile parameter with the HTML Help application (HH.exe). This behavior is identified through Endpoint Detection and Response (EDR) telemetry, focusing on command-line executions involving the decompile parameter. This activity is significant because it is an uncommon command and has been associated with APT41 campaigns, where it was used to unpack HTML help files for further malicious actions. If confirmed malicious, this technique could allow attackers to execute arbitrary commands, potentially leading to further compromise and persistence within the environment.
The following analytic detects the execution of the Windows built-in tool netsh.exe to display the state, configuration, and profile of the host firewall. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. Monitoring this activity is crucial as netsh.exe can be used by adversaries to bypass firewall rules or discover firewall settings. If confirmed malicious, this activity could allow attackers to manipulate firewall configurations, potentially leading to unauthorized network access or data exfiltration.
The following analytic identifies the use of the w32tm.exe utility with the /stripchart function, which is indicative of DCRat malware delaying its payload execution. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific command-line arguments used by w32tm.exe. This activity is significant as it may indicate an attempt to evade detection by delaying malicious actions such as C2 communication and beaconing. If confirmed malicious, this behavior could allow an attacker to maintain persistence and execute further malicious activities undetected.
The following analytic detects the use of WMIC (Windows Management Instrumentation Command-line) for reconnaissance and system information discovery on Windows endpoints.
It identifies command-line queries targeting common Win32 WMI classes such as Win32_OperatingSystem, Win32_Processor, csproduct, Win32_DiskDrive, and Win32_PhysicalMemory, which are frequently leveraged to enumerate hardware, operating system details, and system configuration. Adversaries often use these queries during post-exploitation to fingerprint hosts, assess virtualization, and tailor follow-on activity. While WMIC usage can be legitimate for administrative and inventory tasks, suspicious or unexpected execution—particularly by non-administrative users or uncommon parent processes—may indicate malicious reconnaissance aligned with system discovery techniques.
It identifies command-line queries targeting common Win32 WMI classes such as Win32_OperatingSystem, Win32_Processor, csproduct, Win32_DiskDrive, and Win32_PhysicalMemory, which are frequently leveraged to enumerate hardware, operating system details, and system configuration. Adversaries often use these queries during post-exploitation to fingerprint hosts, assess virtualization, and tailor follow-on activity. While WMIC usage can be legitimate for administrative and inventory tasks, suspicious or unexpected execution—particularly by non-administrative users or uncommon parent processes—may indicate malicious reconnaissance aligned with system discovery techniques.
This analytic detects the use of WMIC to delete volume shadow copies, which is a common technique used by ransomware actors to prevent system recovery. Ransomware like Cactus often delete shadow copies before encrypting files to ensure victims cannot recover their data without paying the ransom. This behavior is particularly concerning as it indicates potential ransomware activity or malicious actors attempting to prevent system recovery.
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