Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
11,831 detections
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Detects network connections, process executions, file creations, and image loads associated with the UNC7017 AOMEI supply chain campaign IOC sweep, including specific malicious URLs, domains, IPs, file paths, and hashes.
Detects the use of system utilities (wevtutil, PowerShell, wmic, etc.) or log-reading tools (grep, tail) for log enumeration or export when executed by processes that are not standard management or monitoring agents. This pattern is commonly associated with adversary efforts to gain situational awareness or identify security logs.
Detects direct execution and testing of SAP Function Modules via SE37 test frame. This identifies correlation between a transaction start (AU7) and a function module call (BU4) in close succession
The following analytic detects the use of Windows Curl.exe to upload a file to a remote destination.
It identifies command-line arguments such as `-T`, `--upload-file`, `-d`, `--data`, and `-F` in process execution logs.
This activity is significant because adversaries may use Curl to exfiltrate data or upload malicious payloads. If confirmed malicious, this could lead to data breaches or further compromise of the system.
Analysts should review parallel processes and network logs to determine if the upload was successful and isolate the endpoint if necessary.
It identifies command-line arguments such as `-T`, `--upload-file`, `-d`, `--data`, and `-F` in process execution logs.
This activity is significant because adversaries may use Curl to exfiltrate data or upload malicious payloads. If confirmed malicious, this could lead to data breaches or further compromise of the system.
Analysts should review parallel processes and network logs to determine if the upload was successful and isolate the endpoint if necessary.
The following analytic detects the use of `dism.exe` to remove Windows Defender. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that include specific parameters for disabling and removing Windows Defender. This activity is significant because adversaries may disable Defender to evade detection and carry out further malicious actions undetected. If confirmed malicious, this could lead to the attacker gaining persistent access, executing additional payloads, or exfiltrating sensitive data without being intercepted by Windows Defender.
Sweeps endpoint telemetry for known UAC-0099 MATCHBOIL/LONEPAGE indicators: SHA256 hashes, C2 IPs, C2 domains (including subdomains), and payload/C2 URLs. Matches are limited to public outbound connections, Defender self-activity is excluded from file hits, and repeat hits are collapsed to one row per device and indicator. The lists are a subset of the 142 IOCs in the source report.
Detects PowerShell execution performing port checks across multiple internal hosts using Test-NetConnection in a looping construct with output redirected to a log file, indicative of post-compromise reconnaissance (such as LONEPAGE scanning).
Detects the use of curl or wget commands targeting the Cloud Instance Metadata Service (IMDS) at 169.254.169.254 for credential theft, or performing file uploads and data exfiltration patterns.
The following analytic identifies command-line activity that searches for files related to password manager software, such as "*.kdbx*" and "*credential*". It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. This activity is significant because attackers often target password manager databases to extract stored credentials, which can be used for further exploitation. If confirmed malicious, this behavior could lead to unauthorized access to sensitive information, enabling attackers to escalate privileges, move laterally, or exfiltrate critical data.
Detects anomalous process execution and loopback network activity associated with the Model Context Protocol (MCP) 'exec_in_session' method. This pattern indicates an adversary potentially abusing the AI coding assistant's MCP server capabilities to execute arbitrary commands as a C2 channel.
Detects crontab modifications or suspicious command execution spawned by the cron daemon on macOS devices, indicating potential persistence or scheduled task abuse.
The following analytic detects the usage of wevtutil.exe with parameters for clearing event logs such as Application, Security, Setup, Trace, or System.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments.
This activity is significant because clearing event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
If confirmed malicious, this behavior could allow an attacker to erase evidence of their activities, making it difficult to trace their actions and understand the full scope of the compromise.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments.
This activity is significant because clearing event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
If confirmed malicious, this behavior could allow an attacker to erase evidence of their activities, making it difficult to trace their actions and understand the full scope of the compromise.
The following analytic detects the usage of wevtutil.exe with the "clear-log" parameter in order to clear the contents of logs.
Clearing the event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
Clearing the event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
Detects permanent WMI event subscriptions that are containing `CommandLineEventConsumer` or `ActiveScriptEventConsumer`. Due to their command execution capabilties, given WMI consumers are often leveraged by adversaries for both execution and persistence purposes.
The following analytic detects the execution of the `Get-WMIObject Win32_Group` command using PowerShell Script Block Logging (EventCode=4104). This method captures the full command sent to PowerShell, allowing for detailed analysis. Identifying group information on an endpoint is not inherently malicious but can be suspicious based on context such as time, endpoint, and user. This activity is significant as it may indicate reconnaissance efforts by an attacker. If confirmed malicious, it could lead to further enumeration and potential lateral movement within the network.
The following analytic detects the use of the Enable-PSRemoting cmdlet, which allows PowerShell remoting on a local or remote computer. This detection leverages PowerShell Script Block Logging (EventCode 4104) to identify when this cmdlet is executed. Monitoring this activity is crucial as it can indicate an attacker enabling remote command execution capabilities on a compromised system. If confirmed malicious, this activity could allow an attacker to take control of the system remotely, execute commands, and potentially pivot to other systems within the network, leading to further compromise and lateral movement.
The following analytic detects the execution of `wmic.exe` with the `node` switch, indicating an attempt to spawn a local or remote process. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line arguments. This activity is significant as it may indicate lateral movement or remote code execution attempts by an attacker. If confirmed malicious, the attacker could gain remote control over the targeted system, execute arbitrary commands, and potentially escalate privileges or persist within the environment.
The following 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 use of AppCmd.exe to disable HTTP logging on IIS servers. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution events where AppCmd.exe is used with specific parameters to alter logging settings. This activity is significant because disabling HTTP logging can help adversaries hide their tracks and avoid detection by removing evidence of their actions. If confirmed malicious, this could allow attackers to operate undetected, making it difficult to trace their activities and respond to the intrusion effectively.
This analytic detects attempts to create an "ESX Admins" group using the Windows net.exe or net1.exe commands. This activity may indicate an attempt to exploit the VMware ESXi Active Directory Integration Authentication Bypass vulnerability (CVE-2024-37085). Attackers can use this method to gain unauthorized access to ESXi hosts by recreating the "ESX Admins" group after its deletion from Active Directory.
The following analytic detects changes in the ScManager service security descriptor settings. It leverages data from Endpoint Detection and Response (EDR) agents, specifically searching for any process execution involving the "sc.exe" binary with the "sdset" flag targeting the "scmanager" service. If confirmed malicious, this could allow an attacker to escalate their privileges.
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