Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
11,839 detections
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Hunts for sqlservr.exe spawning command shells or system utilities, a pattern consistent with xp_cmdshell abuse. It also flags later steps from a public intrusion write-up: certutil decoding, SAM, SYSTEM or SECURITY hive saves and local account or group changes.
Results are grouped per device and day and ranked by stage count. Rows can also appear without a SQL parent when two later stages occur on the same device and day.
Triage: Some jobs use xp_cmdshell legitimately. Review the command line and the account. Hunting query, not an alert.
Limitations: Activity inside the SQL process with no child process is not visible. Renamed tools, obfuscation and privilege escalation tools are not covered. Needs Defender for Endpoint on the SQL servers.
Results are grouped per device and day and ranked by stage count. Rows can also appear without a SQL parent when two later stages occur on the same device and day.
Triage: Some jobs use xp_cmdshell legitimately. Review the command line and the account. Hunting query, not an alert.
Limitations: Activity inside the SQL process with no child process is not visible. Renamed tools, obfuscation and privilege escalation tools are not covered. Needs Defender for Endpoint on the SQL servers.
Detects the use of vim and its siblings commands to execute a shell or proxy commands.\nSuch behavior may be associated with privilege escalation, unauthorized command execution, or breaking out from restricted environments.
Detects wmic being used to add a Microsoft Defender exclusion for a fake "Microsoft\Windows Defender" installation directory. HoneyMyte (Mustang Panda) runs this command via the MSFT_MpPreference WMI class before dropping the CoolClient sideloader (defender.exe) and libngs.dll into that duplicated folder, ensuring the malware is never scanned. The legitimate Windows Defender path does not contain a "Microsoft\" subfolder, making this exclusion target distinctive.
Detects schtasks.exe creating a scheduled task named "Windows Defender Advanced Threat Protection Service" that launches defender.exe (a renamed Sangfor executable abused for DLL sideloading) with SYSTEM privileges at startup. This is the exact persistence mechanism HoneyMyte (Mustang Panda) uses to relaunch the CoolClient backdoor chain from the fake "Microsoft\Windows Defender" directory on every boot.
Detects execution of the XMRig Monero cryptominer or a miner
launched with XMRig-specific pool and tuning arguments. In the AhsayCBS
exploitation campaign attackers dropped XMRig onto compromised backup
servers to hijack CPU resources for Monero mining, severely degrading
server performance. Detection keys on XMRig binary names and the mining
command-line grammar (stratum pool URLs, donate-level and thread-hint flags).
launched with XMRig-specific pool and tuning arguments. In the AhsayCBS
exploitation campaign attackers dropped XMRig onto compromised backup
servers to hijack CPU resources for Monero mining, severely degrading
server performance. Detection keys on XMRig binary names and the mining
command-line grammar (stratum pool URLs, donate-level and thread-hint flags).
Detects script-driven (curl, wget, python) outbound connections to
AI/LLM API endpoints. The campaign uses legitimate AI platform APIs as covert
command, control, and exfiltration channels, blending malicious traffic with
approved web services to evade network-based detection.
AI/LLM API endpoints. The campaign uses legitimate AI platform APIs as covert
command, control, and exfiltration channels, blending malicious traffic with
approved web services to evade network-based detection.
The following analytic detects the execution of ngrok.exe on a Windows operating system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because while ngrok is a legitimate tool for creating secure tunnels, it is increasingly used by adversaries to bypass network defenses and establish reverse proxies. If confirmed malicious, this could allow attackers to exfiltrate data, maintain persistence, or facilitate further attacks by tunneling traffic through the compromised system.
This rule monitors for potentially malicious use of Windows Subsystem for Linux (WSL) binaries. It detects the execution of common command-line tools for reconnaissance, download, or lateral movement within the WSL environment, identifies the use of WSL to execute Windows 'living-off-the-land' binaries (Lolbins), and flags the installation of WSL components.
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.
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