Detections

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

10,670 detections

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
0127
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
This query identifies devices with specific versions of installed software that are considered vulnerable. It is a template that can be easily adapted to track any software by changing the placeholder variables. It enriches the findings with device and user information for easier investigation.
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Nicholas Isakson@nisakson2000
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Detections.ai Community
9 months ago
282201
This rule identifies the use of specific malicious code signing certificates by matching their SHA1 thumbprints against a predefined list. These certificates are known to be associated with various threat actors or malicious software, indicating potential supply chain compromise or the use of signed malware.
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F S@Fsdr
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Detections.ai Community
9 months ago
714600
This rule detects unsigned executables originating from the WindowsApps directory that are making network connections to IP lookup services. This behavior can indicate a potentially malicious application attempting to identify its external IP address, possibly for command and control communication or reconnaissance. Common browsers are excluded from this detection to reduce false positives.
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F S@Fsdr
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Detections.ai Community
9 months ago
916553
This rule detects the presence and activity of known malicious browser extensions, specifically 'NexShield' and those associated with the 'KongTuke' campaign. It identifies these extensions by their unique IDs found in file paths or names, network connections to associated malicious IPs or domains, and specific file hashes. The rule correlates file events, network events, and process events to provide a comprehensive view of the malicious extension's activity, including when it was first and last seen, the browsers involved, and the files/folders it interacted with.
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doyou know@doyouknow
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Detections.ai Community
9 months ago
10214792
A widespread campaign employs malvertising to distribute converter tools that secretly install persistent Remote Access Trojans. These droppers establish scheduled tasks and leverage code signing to load and execute further malicious .NET assemblies from command-and-control servers, enabling continuous system access and data exfiltration.
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Information hacker@Informationhacker
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Detections.ai Community
9 months ago
330232
This rule detects the presence or execution of known malicious infostealer files based on their SHA256 hash values or a specific filename pattern. The SHA256 hashes are associated with infostealer malware as referenced in a VirusTotal blog post. The filename pattern 'malwarebytes-windows-github-io' also indicates potential malicious activity, likely related to a deceptive download or execution.
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doyou know@doyouknow
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Detections.ai Community
9 months ago
372200
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