Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the execution of msiexec.exe with the /y switch parameter, which enables the loading of DLLRegisterServer. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process command-line arguments and parent-child process relationships. This activity is significant because it can indicate an attempt to register malicious DLLs, potentially leading to code execution or persistence on the system. If confirmed malicious, this could allow an attacker to execute arbitrary code, escalate privileges, or maintain persistence within the environment.
The following analytic detects the use of msiexec.exe with the /z switch parameter, which is used to unload DLLRegisterServer. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs, including command-line arguments. This activity is significant because unloading DLLRegisterServer can be indicative of an attempt to deregister a DLL, potentially disrupting legitimate services or hiding malicious activity. If confirmed malicious, this could allow an attacker to disable security controls, evade detection, or disrupt system functionality, leading to further compromise of the environment.
The following analytic identifies the execution of Odbcconf.exe within the environment. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where the process name is Odbcconf.exe. This activity is significant because Odbcconf.exe can be used by attackers to execute arbitrary commands or load malicious DLLs, potentially leading to code execution or persistence. If confirmed malicious, this behavior could allow an attacker to maintain access to the system, execute further malicious activities, or escalate privileges, posing a significant threat to the environment.
The following analytic detects the execution of odbcconf.exe with the regsvr action to load a DLL. This is identified by monitoring command-line arguments in process creation logs from Endpoint Detection and Response (EDR) agents. This activity is significant as it may indicate an attempt to execute arbitrary code via DLL loading, a common technique used in various attack vectors. If confirmed malicious, this could allow an attacker to execute code with the privileges of the odbcconf.exe process, potentially leading to system compromise or further lateral movement.
The following analytic detects the execution of odbcconf.exe with a response file, which may contain commands to load a DLL (REGSVR) or other instructions. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant as it may indicate an attempt to execute arbitrary code or load malicious DLLs, potentially leading to unauthorized actions. If confirmed malicious, this could allow an attacker to gain code execution, escalate privileges, or establish persistence within the environment.
The following analytic detects the use of `get-WebConfigurationProperty` and `Set-ItemProperty` commands in PowerShell to disable HTTP logging on Windows systems. This detection leverages PowerShell Script Block Logging, specifically looking for script blocks that reference HTTP logging properties and attempt to set them to "false" or "dontLog". Disabling HTTP logging is significant as it can be used by adversaries to cover their tracks and delete logs, hindering forensic investigations. If confirmed malicious, this activity could allow attackers to evade detection and persist in the environment undetected.
The following analytic detects the modification of registry keys that define Windows services using reg.exe. This detection leverages Splunk to search for specific keywords in the registry path, value name, and value data fields. This activity is significant because it indicates potential unauthorized changes to service configurations, a common persistence technique used by attackers. If confirmed malicious, this could allow an attacker to maintain access, escalate privileges, or move laterally within the network, leading to data theft, ransomware, or other damaging outcomes.
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 following 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.
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 following analytic detects the execution of an XSL script using the WMIC process, which is often indicative of malicious activity. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving WMIC and XSL files. This behavior is significant as it has been associated with the FIN7 group, known for using this technique to execute malicious scripts. If confirmed malicious, this activity could allow attackers to execute arbitrary code, potentially leading to system compromise and further malicious actions within the environment.
The following analytic identifies a Windows command interpreter process being executed where it's process name does not match it's original file name attribute.
Processes that have been renamed and executed may be an indicator that an adversary is attempting to evade defenses or execute malicious code.
Processes that have been renamed and executed may be an indicator that an adversary is attempting to evade defenses or execute malicious code.
Detects M365 Copilot impersonation and roleplay jailbreak attempts where users try to manipulate the AI into adopting alternate personas, behaving as unrestricted entities, or impersonating malicious AI systems to bypass safety controls. The detection searches exported eDiscovery prompt logs for roleplay keywords like "pretend you are," "act as," "you are now," "amoral," and "roleplay as" in the Subject_Title field. Prompts are categorized into specific impersonation types (AI_Impersonation, Malicious_AI_Persona, Unrestricted_AI_Persona, etc.) to identify attempts to override the AI's safety guardrails through persona injection attacks.
The following analytic detects the loading of known vulnerable Windows drivers, which may indicate potential persistence or privilege escalation attempts. It leverages Windows System service install EventCode 7045 to identify driver loading events and cross-references them with a list of vulnerable drivers. This activity is significant as attackers often exploit vulnerable drivers to gain elevated privileges or maintain persistence on a system. If confirmed malicious, this could allow attackers to execute arbitrary code with high privileges, leading to further system compromise and potential data exfiltration. This detection is a Windows Event Log adaptation of the Sysmon driver loaded detection written by Michael Haag.
Detects the ClickFix/fake-CAPTCHA initial access pattern where users are socially engineered into copying and pasting malicious commands into the Windows Run dialog or a browser-spawned shell. The rule matches on process creation events involving mshta.exe, powershell.exe, or wscript.exe initiated by explorer.exe or common shell-related processes, filtering out known administrative and deployment software.
This rule detects potential DLL sideloading by monitoring known legitimate Windows binaries that are commonly abused to load malicious DLLs from non-standard directories (i.e., not System32, SysWOW64, or WinSxS). This activity is often associated with the TerminalFix / Lorem Ipsum Loader campaign.
The following analytic detects potentially malicious processes that initiate a ping delay using an invalid IP address.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving "ping 0 -n".
Malware like NJRAT was observed using this technique to introduce time delays for evasion tactics, such as delaying self-deletion.
If confirmed malicious, this activity could indicate an active infection attempting to evade detection, potentially leading to further compromise and persistence within the environment.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving "ping 0 -n".
Malware like NJRAT was observed using this technique to introduce time delays for evasion tactics, such as delaying self-deletion.
If confirmed malicious, this activity could indicate an active infection attempting to evade detection, potentially leading to further compromise and persistence within the environment.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
This rule detects a suspicious sequence of events where a process named RMM.Agent.exe executes a PowerShell command to download and install 'ClientSetup.msi' via msiexec.exe, followed closely by the execution of a ScreenConnect client process. This chain of activity is consistent with unauthorized or potentially malicious deployment of ScreenConnect (ConnectWise Control) for persistent remote access.
This rule detects potential DLL sideloading activity associated with the Lorem Ipsum Loader. It monitors image load events to identify specific legitimate Windows binaries (often used for sideloading) that load non-system DLLs. The rule filters out legitimate DLL loads from standard Windows system directories to highlight anomalous behavior.
This rule detects potential privilege escalation in cloud environments (AWS, Azure, GCP) by identifying the attachment or update of overly permissive policies (e.g., wildcard permissions or administrative roles) followed by rapid execution of high-privilege actions (like creating new users, keys, or profiles) by the same actor within 15 minutes.
Detects Microsoft Office applications (Word, Excel, Outlook, PowerPoint) spawning common LOLBins or command-line interpreters. This behavior is frequently associated with malicious macros or exploitation attempts delivering secondary payloads.
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