Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

10,676 detections

This query detects attempts to disable or modify critical security services using either the 'sc.exe' utility or direct registry modification. This is a common defense evasion technique used by adversaries to weaken a system's security posture before performing further actions.
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An Le@nupagazi
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Detection & Hunting Community
9 months ago
80106
Detects inbound network connections from external (non-loopback, non-private) IP addresses to ports commonly used by Clawdbot/Moltbot gateways (3000, 8080, 16007). An exposed gateway is a significant security risk that can allow unauthorized remote administrative control over the AI agent.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
9 months ago
210218
Detects network connections to Polygon (MATIC) blockchain RPC endpoints. The DeadLock ransomware strain has been observed using smart contracts on the Polygon network to retrieve C2 proxy server addresses, making this a key indicator of compromise.
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Ucy Chima@Chima
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Detections.ai Community
9 months ago
131149
Detects Microsoft Office applications (Word, Excel, PowerPoint, Outlook) spawning suspicious child processes like command shells or script interpreters. This behavior can be indicative of malicious macro execution or exploitation of vulnerabilities, such as CVE-2026-21509, where an embedded OLE object leads to code execution.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
9 months ago
221251
This rule detects suspicious activity related to browser credential theft or staging. It triggers when a non-browser process accesses sensitive browser files (like 'Login Data' or 'Local State') or when temporary artifacts associated with credential stealer activity ('chromeTmp', 'Local State-journal') are created. This behavior is indicative of an attacker attempting to exfiltrate browser-stored credentials.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
512370
Detects the creation or execution of files matching known malicious SHA256 hashes associated with a weaponized ScreenConnect installer and a Rust-based loader. This rule identifies the presence of specific known malicious binaries on endpoints.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
640161
This rule detects network connections to known malicious IP addresses and domains, as well as the presence of files with known malicious hashes. It specifically looks for indicators associated with the Amatera Stealer, including specific domains, an IP address, and file hashes. The rule correlates network events (DeviceNetworkEvents) and file events (DeviceFileEvents) to identify these indicators of compromise (IOCs).
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
431292
Detects the anomalous execution of Node.js from non-standard, user-writable directories or when spawned by a shell process. This behavior is indicative of the Tsundere Bot backdoor, often used by TA584. The rule specifically looks for node.exe running from common user-writable or temporary directories (AppData\Local, Users\Public, Temp) or when initiated by command-line shells like powershell.exe or cmd.exe.
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g host@ghosty
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Detections.ai Community
9 months ago
161114
Detects when a potentially malicious file (such as a macro-enabled document, executable, or script) is created within a directory configured as a Microsoft Office Trusted Location. Attackers may place malicious files in these locations to ensure they are opened by the user without security warnings (like Protected View or macro-blocking), facilitating code execution. This rule correlates file creation events with trusted paths dynamically enumerated from the device's registry.
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Paul P@ppritch
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Detections.ai Community
9 months ago
8087
This rule detects the execution of specific child processes (write.exe, cmd.exe) when initiated by a predefined list of parent processes (Sang.exe, googleupdate.exe, vlc.exe, clreg.exe, Nlasvr.exe, qutppy.exe) and when the parent process command line contains certain keywords ('install', 'work', 'passuac'). This pattern can indicate suspicious activity, potentially related to malware installation, persistence, or command and control.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
291215
Detects when a Microsoft Office application (Word, Excel, PowerPoint, etc.) spawns a suspicious child process (like cmd.exe or powershell.exe) from a document located in a configured Office Trusted Location. While trusted locations are meant to bypass macro security warnings, the subsequent spawning of shell processes is a strong indicator of malicious macro execution for post-exploitation activities.
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Paul P@ppritch
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Detections.ai Community
9 months ago
6081
Detects the creation of a new Microsoft Office Trusted Location via registry modification. Attackers abuse this feature to add a location they control, allowing macros or other active content to run without security warnings, bypassing Mark-of-the-Web (MotW) protections.
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Paul P@ppritch
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Detections.ai Community
9 months ago
5072
This rule will alert when a pending action is required by a Security Administrator in Defender XDR. XDR lacks integrations with common ITSM applications and can only natively email for notifications. This will allow you to create a Sentinel Incident which then you can use a logic app to alert to whatever platform you would like.
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Kevin Nguyen@kevin
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Detections.ai Community
9 months ago
8067
Monitors for the creation of 'C:\ProgramData\AppxProvisioning.xml'. The updated CoolClient backdoor, used by the HoneyMyte APT group, uses this specific file path to store XOR-encrypted clipboard and active window monitoring data.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
251164
This rule detects the creation of a process where the parent process is 'node.exe' (associated with Node.js, often used by VS Code extensions) and the child process is either 'ScreenConnect.ClientService.exe' or has 'ScreenConnect' in its command line. This behavior could indicate a VS Code extension spawning a ScreenConnect remote access tool, which might be malicious.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
7072
Detects PowerShell execution initiated by the signed Microsoft App-V script 'SyncAppvPublishingServer.vbs'. This technique is used as a LOLBIN to proxy malicious PowerShell commands, as seen in campaigns delivering Amatera Stealer.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
231168
Detects when a potentially malicious file (such as a macro-enabled document, executable, or script) is created within a directory configured as a Microsoft Office Trusted Location. Attackers may place malicious files in these locations to ensure they are opened by the user without security warnings (like Protected View or macro-blocking), facilitating code execution. This rule correlates file creation events with trusted paths dynamically enumerated from the device's registry.
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Paul P@ppritch
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Detections.ai Community
9 months ago
11087
This rule detects network connections to a predefined list of malicious domains, many of which are hosted on Vercel and appear to be associated with phishing campaigns. The domains often mimic legitimate services or financial documents, suggesting an attempt to deliver malware or steal credentials through phishing. The rule specifically looks for these domains in the 'RemoteUrl' field of 'DeviceNetworkEvents'.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
9 months ago
191108
Detects the installation or loading of the POORTRY (Abyssworker) driver, a vulnerable driver used by Osiris ransomware in Bring Your Own Vulnerable Driver (BYOVD) attacks to terminate security software. This rule identifies the driver by its file name, service name, known hashes, and a masquerading technique where it pretends to be a Malwarebytes component.
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BigDog Sparkles@MrSparkles
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Detections.ai Community
9 months ago
13090
This rule detects suspicious command-line activity involving 'conhost.exe' running in headless mode, combined with specific keywords often associated with malware or malicious scripts. The presence of '--headless' with other suspicious strings like 'svchost.exe', 'certutil -decode', common temporary directories, or specific file extensions/initiating processes (cmd.exe, powershell.exe, curl) suggests an attempt to execute hidden or obfuscated malicious code. This pattern is frequently observed in various stages of an attack, including execution, persistence, and defense evasion.
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Awais Munir@iawais
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Detections.ai Community
9 months ago
0128
Esta detección identifica posibles conexiones relacionadas con el uso de VPNs dentro del entorno corporativo, correlacionando puertos asociados a protocolos VPN, dominios no habituales, procesos iniciadores y adaptadores de red virtuales o tunelizados. El objetivo es descubrir actividad de VPN no autorizada, conexiones cifradas ocultas dentro de tráfico HTTPS y el uso de extensiones de navegador que actúan como túneles tipo VPN.
La lógica de esta consulta aplica múltiples capas de filtrado para reducir falsos positivos:

- Filtra conexiones salientes hacia puertos característicos de IPsec, OpenVPN, WireGuard, L2TP y PPTP.
- Detecta túneles sobre puerto 443 cuando el proceso iniciador no corresponde a aplicaciones del sistema.
- Excluye ruido generado por procesos de Windows y dominios legítimos asociados a Microsoft, Google y servicios cloud corporativos.
- Identifica adaptadores TAP, TUN, Wintun, WireGuard, Tailscale o ZeroTier presentes en el host.
- Clasifica el tipo probable de VPN según el puerto utilizado y el proceso que inicia la conexión.

Esta detección permite encontrar:

- Clientes VPN instalados sin autorización.
- Extensiones de navegador que establecen túneles SSL-VPN encubiertos.
- Herramientas de túneles encubiertos como WireGuard stealth, Tailscale o ZeroTier.
- Actividad anómala desde navegadores que podría indicar proxies cifrados o VPNs embebidas.
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Gonzalo Cerecedo@GonzaloC7
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Detections.ai Community
9 months ago
221178
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