Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects various activities associated with the ShadowHS fileless Linux post-exploitation framework, including fileless execution, specific command-line patterns, covert exfiltration, and connections to known C2 infrastructure.
Detects network connections to known C2 servers and payload delivery URLs associated with a PureRAT campaign. This activity is linked to a Vietnamese threat actor using AI to generate their toolset.
Detects network connections to domains identified as part of the IClickFix redirection infrastructure. These domains host the initial JavaScript payloads or act as part of the Traffic Distribution System (TDS).
Detects network connections to known Command and Control (C2) domains used by NetSupport RAT as delivered by the IClickFix framework.
Detects network connections to a known Amatera Stealer C2 IP address where the HTTP Host header is spoofed. This technique is used by the malware to masquerade its C2 traffic, often by using a legitimate-looking or unrelated domain in the Host header, while communicating directly with the malicious IP address.
Detects network connections to the GitHub API attempting to fetch a 'command.txt' file. This behavior is characteristic of the GITSHELLPAD backdoor, which uses private GitHub repositories for command and control (C2) communication as seen in the Gopher Strike campaign.
Detects when the Windows Admin Center service ('SmeSvc.exe') is stopped, and shortly thereafter, a different process starts listening on the WAC port (TCP/6516). This behavior is a key indicator of CVE-2026-20965 exploitation, where an attacker impersonates the service to steal administrator access tokens.
Detects network connections to known infrastructure associated with the EncystPHP web shell campaign. This IP (45.234.176.202) was observed distributing the 'c' and 'k.php' droppers.
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.
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.
Detects attempts to exploit an authentication bypass vulnerability in the Inetutils Telnet daemon. Attackers inject the '-f' flag into the 'USER' environment variable during Telnet negotiation to gain unauthorized shell access.
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.
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.
Detects network connections from a node.js process to a known C2 server address (87.236.177.9:3000) used by DPRK-linked threat actors.
Detects C2 network traffic associated with PylangGhost and GolangGhost, RATs used by the PurpleBravo group. The malware sends an RC4-encrypted payload via an HTTP POST request to known C2 servers.
Detects C2 network traffic associated with the InvisibleFerret RAT, used by the PurpleBravo group. This malware uses a plaintext HTTP channel for beaconing, data exfiltration, and payload delivery to specific URI endpoints.
This rule detects potential network beaconing activity by analyzing network connection events. It identifies repetitive outbound connections from a device to a remote IP and port with a consistent time interval (low jitter). The rule filters out known legitimate processes and domains to reduce false positives. It calculates the average time delta between connections, standard deviation, and interquartile range to identify beacon-like patterns. The rule also considers the number of unique devices connecting to the same remote endpoint to identify potentially compromised infrastructure.
Detects ICMP Echo Request packets where the Identification field is set to the specific magic value 0xC0DE (49374). This value is used by the VoidLink rootkit as a trigger for its covert, out-of-band C2 channel, which can bypass standard firewall rules.
Detects network connections or DNS queries to command and control (C2) domains associated with the TamperedChef malvertising campaign.
Detects network connections to domains associated with the DarkSpectre threat actor's campaigns, including GhostPoster, ShadyPanda, and The Zoom Stealer. These campaigns leverage malicious browser extensions for data theft, affiliate fraud, and corporate espionage.
Detects network traffic to web services associated with the ggwave project, such as 'ggwave.ggerganov.com'. These services can generate audio payloads from text, which could be used for covert data exfiltration over an acoustic channel, bypassing traditional network monitoring for the data content itself.
Detects the download of the Amnesia RAT payload from a specific Dropbox URL observed in a multi-stage malware campaign.
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