Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects PowerShell downloading XWorm V6 binary from github.com, spawned by wscript.exe
Detects suspicious usage of remote execution tools like PsExec, WMIC, and PowerShell, which are commonly used for lateral movement by adversaries. The rule identifies instances where these tools are executed multiple times within a short period (more than 2 times in 5 minutes) from non-system accounts and outside of standard system directories, indicating potential malicious activity.
Detects behavioral indicators associated with a malware campaign distributing a credential and crypto-wallet stealer disguised as a Windows 11 update. Detection is based on TTPs rather than IOCs for longevity: suspicious directory creation, obfuscated PowerShell execution, and registry-based persistence.
This rule detects suspicious Python command-line executions that involve importing the 'requests' library, using 'exec()' for dynamic code execution, and making HTTP/HTTPS requests. This pattern is often observed in malicious Python scripts used for command and control, data exfiltration, or downloading additional payloads.
Detects the use of a specific PowerShell command pattern using the '[adsiSearcher]' type accelerator to enumerate and count computer objects in Active Directory. This technique was observed being used for discovery in campaigns following the exploitation of CVE-2026-1731 (BeyondTrust).
Detects a specific obfuscated PowerShell command-line pattern used by the LunarApplication malware to execute scripts from the %TEMP% directory while bypassing execution policies. This rule looks for PowerShell processes with specific flags to bypass execution policy and accept piped input, combined with distinctive randomized script extensions (.yiz.ps1 or .unx.ps1) typically used by this malware.
Detects suspicious Windows process execution that may indicate post-exploitation activity, lateral movement, or privilege escalation. This is a generic detection rule for uncommon or high-risk commands and tools.
The following rule detects attempts to tamper with Linux log records by looking for interpreter processes, or common utility commands interacting with critical log files such as /var/log/wtmp, /var/log/btmp, or /var/run/utmp. It also includes scenarios where 'dd' or 'cp' might be used with /dev/null or /dev/zero to effectively clear or overwrite log content.
Detects the Microsoft Edge WebView2 process (msedgewebview2.exe) being spawned by suspicious parent processes that typically do not use embedded web content, such as PowerShell, CMD, or common lolbins. This activity is a key indicator of the 'AI-Proxy' technique where malware uses WebView2 to programmatically interact with AI web interfaces for C2.
This rule detects Python scripts that use base64 decoding and execution, specifically looking for the 'import base64' statement appearing early in the file, followed by 'exec(base64.b64decode(' and ').decode('utf-8'))'. This pattern is indicative of a common method for obfuscating and executing malicious Python payloads, often seen in malware like KongTuke.
Detects the execution of 'cmd.exe' initiated by common Microsoft Office applications, scripting engines, or msiexec.exe, where the command line includes 'curl' for downloading a '.pdf' file and also attempts to delete files using 'del /s /q'. This behavior is often associated with initial access, download of malicious payloads, and cleanup activities by adversaries. The rule specifically looks for command lines that interact with 'Users\Public', 'conhost.exe', or use the '--headless' flag, which can indicate automated or background execution.
This rule set detects attempts to download an 'install.sh' script from the domains 'clawd.bot' or 'openclaw.ai' using various methods. The first rule, 'openclaw_curl_install_script', specifically targets command-line tools like curl, wget, aria2c, and fetch. The 'openclaw_powershell_download' rule focuses on PowerShell commands (Invoke-WebRequest, iwr, Invoke-RestMethod, irm) used for downloading. The 'openclaw_aria2c_fetch_download' rule is redundant with the first rule, as it also targets aria2c and fetch. The 'openclaw_lolbin_download' rule identifies the use of Living Off The Land Binaries (LOLBins) such as certutil, bitsadmin, and mshta for the same download activity. Finally, the 'openclaw_http_install_sh' rule detects direct HTTP network requests to the 'install.sh' path on these domains. Collectively, these rules aim to identify potential initial access or execution attempts involving a suspicious installation script from specific domains.
This rule detects suspicious Python command-line executions that attempt to import the 'requests' library, use 'exec()', and make HTTP/HTTPS requests. This pattern is commonly observed in malicious Python scripts used for command and control, data exfiltration, or downloading additional payloads.
This rule detects the KongTuke second-stage PowerShell loader. It specifically looks for PowerShell scripts that attempt to read a payload from a file named 'Remove-NetNatStaticMapping.log', decrypt it using DPAPI (Data Protection API) via 'ProtectedData]::Unprotect' and 'DataProtectionScope]::Localmachine', and then execute the decrypted content using an 'iex' alias. The script also includes references to 'Add-Type -AssemblyName System.Security' and 'AppActions', indicating advanced PowerShell capabilities and potential interaction with application-related data. The use of 'ReadAllBytes' and 'UTF8.GetString' suggests the payload is read as raw bytes and then converted to a string for execution.
Detects a Python process spawning pip to install multiple libraries (requests, pycryptodome, psutil) in a short time frame, a behavior associated with the Arkanix Stealer's Python loader.
This rule detects suspicious Python script execution masquerading as 'svchost.exe'. Specifically, it looks for 'svchost.exe' processes running from a user's profile directory that execute Python code containing 'import', 'requests', 'exec(', and references to 'http://' or 'https://' in the command line. This pattern is indicative of a Python-based malware or script attempting to download and execute additional code, potentially for command and control or further compromise, while trying to blend in with legitimate system processes.
Detects the creation of multiple files with the same GUID-like name but different extensions (VBS, BAT, CMD, HTM, XHTML) within a short time frame in the user profile directory. This pattern is characteristic of the APT28 "Operation MacroMaze" dropper behavior.
This YARA rule set detects various artifacts associated with the Remcos RAT 'ClickFix' campaign. The rules identify persistence mechanisms (registry run keys or scripts involving 'Shotcut video editor', '2120206', and 'shotcut.exe' for DLL sideloading), archive or path indicators ('2120206' and 'shotcut.exe'), clipboard scripts used for dropping malware related to the Shotcut DLL sideloading technique.
Detects when a known OpenClaw AI agent process spawns a shell to download and immediately execute a script. This is a common pattern used by malicious "Skills" to establish persistence or run further payloads, as detailed in the NSFOCUS report.
Detects a Microsoft Office application creating script files with GUID-like names in the user's profile directory. This is the primary method used by the "Operation MacroMaze" macro to drop its initial set of malicious scripts onto the victim's machine.
Detects instances where the Windows 11 Notepad process (Notepad.exe) spawns unexpected child processes. This behavior is a primary indicator of the CVE-2026-20841 exploitation via malicious Markdown links, which allows for remote code execution.
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