Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The analytic detects the execution of `powershell.exe` with the `Get-AdComputer` commandlet, which is used to discover remote systems within a domain. This activity indicates potential reconnaissance efforts by adversaries to map out domain computers, which is a common step in the attack lifecycle. If confirmed malicious, this behavior could allow attackers to gain situational awareness and plan further attacks, potentially leading to unauthorized access and data exfiltration.
The analytic detects the use of the 'cpulimit' command with specific flags ('-l', '-f') executed with 'sudo' privileges on Linux systems. This activity is significant because if 'cpulimit' is granted sudo rights, a user can potentially execute system commands as root, leading to privilege escalation. If confirmed malicious, this could allow an attacker to gain root access, execute arbitrary commands, and fully compromise the affected system.
This analytic detects the behavior of decoding base64-encoded data and passing it to a Linux shell. The detection is made by searching for specific commands in the Splunk query, namely "base64 -d" and "base64 --decode", within the Endpoint.Processes data model. The analytic also includes a filter for Linux shells. This activity is indicative of malicious behavior as Base64 encoding is commonly used to obfuscate malicious commands or payloads, and decoding it can be a step in running those commands. It suggests that an attacker is attempting to run malicious commands on a Linux system to gain unauthorized access, for data exfiltration, or perform other malicious actions.
The following analytic detects the deletion of init daemon scripts on a Linux machine. It leverages filesystem event logs to identify when files within the /etc/init.d/ directory are deleted. This activity is significant because init daemon scripts control the start and stop of critical services, and their deletion can indicate an attempt to impair security features or evade defenses. If confirmed malicious, this behavior could allow an attacker to disrupt essential services, execute destructive payloads, or persist undetected in the environment.
The analytic detects the suspicious editing of cron jobs in Linux using the `crontab` command-line parameter (`-e`). It identifies this activity by monitoring command-line executions involving 'crontab' and the edit parameter. This behavior is significant for a SOC as cron job manipulations can indicate unauthorized persistence attempts or scheduled malicious actions. If confirmed malicious, this activity could lead to system compromise, unauthorized access, or broader network compromise.
The following analytic detects the use of the LD_PRELOAD environment variable to hijack or hook library functions on a Linux platform. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs that include command-line details. This activity is significant because adversaries, malware authors, and red teamers commonly use this technique to gain elevated privileges and establish persistence on a compromised machine. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, and maintain long-term access to the system.
The 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.
The analytic detects registry activity related to the creation of application compatibility shims. It monitors registry paths associated with AppCompatFlags. This activity is significant because attackers can use shims to bypass security controls, achieve persistence, or escalate privileges. If confirmed malicious, this could allow an attacker to maintain long-term access, execute arbitrary code, or manipulate application behavior, posing a severe risk to the integrity and security of the affected systems.
The analytic detects the execution of `winrs.exe` with command-line arguments used to start a process on a remote endpoint. This activity may indicate lateral movement or remote code execution attempts by adversaries. If confirmed malicious, this could allow attackers to execute arbitrary code on remote systems, potentially leading to further compromise and lateral spread within the network.
The analytic identifies instances of rundll32.exe executing with `Control_RunDLL` in the command line, which is indicative of loading a .cpl or other file types. This activity is significant as rundll32.exe can be exploited to execute malicious Control Panel Item files, potentially linked to CVE-2021-40444. If confirmed malicious, this could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment.
This analytic detects the execution of `sdbinst.exe` with parameters indicative of silently creating a shim database. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and command-line arguments. This activity is significant because shim databases can be used to intercept and manipulate API calls, potentially allowing attackers to bypass security controls or achieve persistence. If confirmed malicious, this could enable unauthorized code execution, privilege escalation, or persistent access to the compromised system.
The following analytic detects the spawning of `rundll32.exe` without command-line arguments by `spoolsv.exe`, which is unusual and potentially indicative of exploitation attempts like CVE-2021-34527 (PrintNightmare). This detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process creation events where `spoolsv.exe` is the parent process. This activity is significant as `spoolsv.exe` typically does not spawn other processes, and such behavior could indicate an active exploitation attempt. If confirmed malicious, this could allow an attacker to execute arbitrary code, escalate privileges, or maintain persistence on the compromised endpoint.
The analytic identifies the loading of the malicious SolarWinds.Orion.Core.BusinessLayer.dll by SolarWinds.BusinessLayerHost.exe and subsequent DNS queries to avsvmcloud.com. It uses Sysmon EventID 7 for DLL loading and Event ID 22 for DNS queries, correlating these events within a 12-14 day period. This activity is significant as it indicates potential Sunburst malware infection, a known supply chain attack. If confirmed malicious, this could lead to unauthorized network access, data exfiltration, and further compromise of the affected systems.
This analytic detects the creation of .wav files in the AppData\Roaming folder, a behavior associated with Remcos RAT malware. Remcos RAT is known to store audio recordings in this location for data exfiltration. The detection leverages endpoint process and filesystem data to identify this activity. This activity is significant as it indicates potential unauthorized data collection and exfiltration by malware, which could lead to sensitive information being sent to an attacker's command and control server, compromising the affected system's confidentiality.
The following analytic detects the wermgr.exe process creating or connecting to a named pipe. It leverages Sysmon EventCodes 17 and 18 to identify these actions. This activity is significant because wermgr.exe, a legitimate Windows OS Problem Reporting application, is often abused by malware such as Trickbot and Qakbot to execute malicious code. If confirmed malicious, this behavior could indicate that an attacker has injected code into wermgr.exe, potentially allowing them to communicate covertly, escalate privileges, or persist within the environment.
The analytic detects the execution of `BitLockerToGo.exe`, a legitimate Windows utility. This utility has been observed being abused by the Lumma stealer malware to manipulate registry keys, search for cryptocurrency wallets and credentials, and exfiltrate sensitive data. The malware exploits `BitLockerToGo.exe`'s capabilities for viewing, copying, writing files, and modifying registry branches. This detection is significant for identifying potential Lumma stealer activity, but legitimate use of `BitLockerToGo.exe` in an organization may lead to false positives.
This analytic detects the use of the `sfc.exe` utility to stop the Immunet Protect service. The `sfc.exe` utility is part of Cisco Secure Endpoint installation. This detection leverages endpoint telemetry, focusing on command-line executions involving the `-k` parameter. This activity is significant as it indicates potential tampering with defensive mechanisms. If confirmed malicious, attackers could partially blind the EDR, enabling further compromise and lateral movement within the network.
The analytic identifies path traversal command-line executions, leveraging data from Endpoint Detection and Response (EDR) agents. It detects patterns in command-line arguments indicative of path traversal techniques, such as multiple instances of "/..", "\..", or "\\..". This activity is significant as it often indicates attempts to evade defenses by executing malicious code, such as through msdt.exe. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, potentially leading to system compromise, data exfiltration, or further lateral movement within the network.
This analytic detects the execution of the Windows OS tool cmdkey.exe with the /delete parameter. This activity is significant because cmdkey.exe can be used by attackers to delete stored credentials, potentially leading to privilege escalation and persistence. If confirmed malicious, this behavior could allow attackers to remove stored user credentials, hindering incident response efforts and enabling further unauthorized access to the compromised system.
The following analytic detects the execution of native .NET binaries from non-standard directories within the Windows operating system. It leverages Endpoint Detection and Response (EDR) telemetry, comparing process names and original file names against a predefined lookup. This activity is significant because adversaries may move .NET binaries to unconventional paths to evade detection and execute malicious code. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
The following analytic detects multiple attempts to stop or delete services on a system using `net.exe` or `sc.exe`. It leverages Endpoint Detection and Response (EDR) telemetry, focusing on process names and command-line executions within a one-minute window. This activity is significant as it may indicate an adversary attempting to disable security or critical services to evade detection and further their objectives. If confirmed malicious, this could lead to the attacker gaining persistence, escalating privileges, or disrupting essential services, thereby compromising the system's security posture.
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