Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects suspicious WMI activities including the use of WMIC, PowerShell, and script hosts to perform enumeration of system configurations, installed antivirus products, or process listings. Additionally, it identifies suspicious child processes spawned by the WMI provider (wmiprvse.exe) such as cmd, mshta, or regsvr32. The rule uses behavioral thresholds (multiple WMI calls in 30 seconds) and identifies the execution of common analyst/security tools via WMI to flag potential reconnaissance or malicious execution.
Detects instances where Claude AI-related processes (claude, claude-code) or Node.js processes associated with Claude launch suspicious commands or scripts such as setup scripts, base64-encoded commands, shell interactions, or external network connections. This behavior is indicative of potential supply chain compromise or malicious use of AI-assisted coding tools to execute arbitrary system operations.
Detects the spawning of shell or scripting processes from IDEs, code editors, or AI-assistant processes (e.g., 'claude', 'node'). The rule specifically flags potential reverse shell patterns or dangerous command-line flags often used during development or exploitation, such as '--dangerously-skip-permissions'.
This rule detects activity associated with a known malicious campaign involving 'Photo ZIP' themed lures. It identifies DNS queries to actor-controlled domains, the spawning of PowerShell by Explorer.exe with command lines referencing photo-related filenames or external file-sharing services, and the subsequent downloading of the node.exe runtime to user-accessible directories (consistent with TonRAT delivery).
Detects the creation of suspicious IDE configuration files (e.g., .vscode/tasks.json or .claude/index.js) associated with the poisoned verana-blockchain Go module, as well as the subsequent execution of these files by the Node.js runtime. This detection aims to identify supply chain compromise attempts targeting developers.
Detects Python processes that combine potentially dangerous pickle deserialization (pickle.loads) with network-fetching libraries (urllib, requests, socket) and decoding methods (b64decode, fromhex). This pattern is consistent with backdoors or remote access tools (RATs) that fetch encoded payloads over the network and execute them directly in memory via deserialization.
Detects Python processes executing complex, multi-layered decoding chains (Base64, ROT13, and Hex) in their command line arguments. This pattern is often used by malicious AI skill backdoors, such as ClawHub, to obfuscate payload execution and evade signature-based detection.
This rule detects instances where the IIS web server process (w3wp.exe) spawns common command-line interpreters such as cmd.exe or powershell.exe. This activity is a classic indicator of a successful web application exploit, potentially leading to remote code execution.
Detects instances where code editors like Cursor or Claude execute shell commands or CLI tools often used for configuration, network activity, or credential interaction. This pattern may indicate malicious exploitation of editor configuration files (e.g., MCP configuration) or unauthorized use of the editor environment to execute shell commands.
Detects persistence mechanisms used by Gamaredon's Ptero-family implants (e.g., PteroSetup, PteroPSDoor) which modify Windows registry run keys to execute malicious scripts or binaries located in suspicious directories like APPDATA or TEMP. The detection specifically looks for the combination of registry run key modifications and the use of obfuscated or stealthy execution arguments associated with PowerShell, VBScript, or MSHTA.
Detects anomalous file activity on removable media drives characteristic of the Gamaredon group's PteroOdd/PteroSetup malware. The rule identifies PowerShell, wscript.exe, or cscript.exe writing autorun.inf or .lnk files to removable drive letters (D-Z), which is a common technique for lateral movement and propagation via USB drives.
This rule monitors process command line arguments for a combination of programming language interpreters (java, python, node, .NET, go) and keywords commonly associated with malware, payloads, shellcode, or injection techniques. This is intended to identify suspicious execution patterns that may indicate the staging or execution of malicious code.
Detects download, execution, and network activity associated with the 'isp.sh' dropper script. This includes the use of common utilities like curl or wget to fetch the script from a specific C2 IP address (83.142.209.214), piping the script directly to a shell, and signs of secondary payload execution such as 'lambsys'.
Identifies the macOS stealer utilizing osascript to pop a fake system dialog, requesting the user's administrator password for privilege escalation.
Detects powershell.exe executing a hidden .ps1 script from AppData\Local\Temp using character-code string concatenation obfuscation ([char]N+[char]N) and ForEach-Object {[char]$_} patterns, consistent with the TuglaInsaatci/Remcos steganographic loader campaign dropping pmxhtzb4w2q.ps1 for persistence.
Detects the steganographic loader campaign setting HKCU Run key persistence using powershell.exe with -NoProfile -ExecutionPolicy Bypass -WindowStyle Hidden -File pointing to an obfuscated .ps1 script in AppData\Local\Temp, as observed in the FortiBleed/TuglaInsaatci campaign delivering Remcos RAT.
Detects the use of VMware ESXi command-line management tools (esxcli, esxcfg) or VMware PowerCLI cmdlets (e.g., Connect-VIServer, Invoke-VMScript) from endpoints that are not identified as servers. This behavior often indicates an attacker attempting to manage or interact with a virtualized environment from a compromised workstation.
Detects instances where common browser processes or Windows Explorer initiate suspicious child processes like cmd.exe, powershell.exe, or mshta.exe. The rule uses a scoring mechanism based on the presence of encoded command indicators, web-related payloads, or specific HTA script arguments to identify potentially malicious activity such as drive-by downloads or living-off-the-land execution.
Detects instances where common browser processes or Windows Explorer initiate suspicious child processes like cmd.exe, powershell.exe, or mshta.exe. The rule uses a scoring mechanism based on the presence of encoded command indicators, web-related payloads, or specific HTA script arguments to identify potentially malicious activity such as drive-by downloads or living-off-the-land execution.
Detects ClickFix social engineering attacks where users are tricked into pasting and executing a malicious script from a fake CAPTCHA page. The technique results in a browser process spawning powershell.exe, cmd.exe, wscript.exe, or mshta.exe as a child process to launch the first-stage loader.
Detects execution of common network reconnaissance tools such as nmap, masscan, and zmap, or PowerShell commands that utilize Test-NetConnection for automated port sweeping across a defined range.
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