Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,879 detections
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Detects network connection attempts or successes from critical Windows processes (System, svchost.exe, lsass.exe) targeting the localhost interface (127.0.0.1 or ::1) on non-standard ports (above 1024, excluding SMB ports 445/139). This behavior is often indicative of local process injection, credential dumping activity, or unauthorized inter-process communication used by malware to bypass network security controls.
This rule detects web browser processes (Chrome, Edge, Brave, Electron) making network requests to 'raw.githubusercontent.com' that contain keywords indicative of sensitive data, such as 'credential', 'secret', 'password', 'token', 'api_key', or '.env'. This behavior may indicate an adversary attempting to download configuration files or sensitive credentials hosted on GitHub.
Detects network connections from common web browser processes (Chrome, Edge, Brave, Electron) to loopback addresses (127.0.0.1 or Localhost) where the URL path contains sensitive keywords like /code, /textbox, /credentials, or /secrets. This behavior is often associated with browser-based exploitation attempts, such as targeting local development servers or internal browser automation interfaces to extract sensitive information.
Detects network beaconing activity associated with the MYRA RAT. The rule identifies TCP connections to the hardcoded C2 IP address 192.168.54.1 on port 4444, where multiple connections are observed from the same host over a 10-minute window, suggesting automated heartbeat/beaconing behavior.
Detects the RemotePC RMM component (rpccmdhost.exe) being used to spawn PowerShell processes with suspicious command-line arguments. The rule specifically looks for evidence of hidden PowerShell execution designed to bypass TLS certificate validation and download external scripts or stagers from a known C2 IP address associated with ROOTBOY activity.
Detects unexpected network connections initiated by the Local Security Authority Subsystem Service (lsass.exe) to the localhost (127.0.0.1) on ports other than standard SMB ports (445 or 139). LSASS should typically only communicate locally via RPC or LPC for authentication services, and anomalous network activity from this process may indicate credential theft attempts, process injection, or unauthorized memory access activities.
Detects network connections initiated by Windows Nearby Sharing processes (quick_share.exe, nearby_sharing.exe, or NearbyShare.exe) to non-standard ports, potentially indicating unauthorized file transfers or exfiltration over unusual network channels.
Detects communication between a macOS host and the Telegram Bot API using the 'getUpdates' method. This behavior is indicative of the 'Gaslight' malware family using Telegram as a command-and-control (C2) channel via polling, typically characterized by repeated HTTP requests to 'api.telegram.org'.
Detects the ClickFix infection chain where a web browser process spawns PowerShell to execute obfuscated ScriptBlock content. This activity is correlated with network connections to identified ErrTraffic C2 infrastructure (/api/index.php?a=ctx) used for distributing various malware payloads including Vidar, Stealc, and others.
Detects the 'procq' process establishing network connections to common Monero (XMR) mining pool ports. This behavior is indicative of a cryptominer deployment, specifically associated with the Langflow cryptominer campaign related to CVE-2026-33017.
Detects the presence of Remcos RAT by correlating a specific mutex (Remcos_Mutex_Inj) indicative of active malicious processes with an outbound network connection to a known command-and-control (C2) IP address (62.102.148.212) on port 37393. This combination is characteristic of Remcos RAT operations used for unauthorized audio and webcam surveillance.
This rule detects the creation of a '_vault.zip' archive, which is characteristic of the VVS Stealer malware, followed by network activity to Discord from the same process within a 15-minute window. VVS Stealer uses these archives to store stolen browser data (passwords, cookies, history, autofill) before exfiltrating it, often via Discord webhooks.
Detects the execution of a Nuitka-compiled Python RAT (chost.exe) associated with the PostCSS typosquatting campaign. The rule identifies this malicious binary when spawned by wscript.exe, powershell.exe, or node.exe from a location outside of C:\Windows\, followed by network communication to known campaign-associated C2 infrastructure.
This rule identifies network connections (DNS queries, HTTPS/WebSocket traffic) directed toward known suspicious domains associated with potentially malicious C2 infrastructure.
This rule detects instances where Microsoft Excel (excel.exe) initiates an external network connection within 60 seconds of process startup. This behavior is often associated with the execution of malicious macros or embedded objects designed to reach out to attacker-controlled infrastructure for downloading secondary payloads or establishing command-and-control (C2) communication.
Detects Python processes that establish network connections to web ports (80 or 443) followed by the execution of deserialization functions (pickle.load or pickle.loads) within the same process context. This pattern is commonly associated with downloading and executing malicious payloads or remote code execution via insecure deserialization.
This rule detects network traffic patterns associated with the Turla group's STOCKSTAY malware, specifically identifying WebSocket upgrade requests directed at the external domain 'canal1zac1a.onrender.com'. This pattern is indicative of a Command and Control (C2) channel initiation.
Correlates JS payload execution with immediate network requests to high-reputation but compromised shadowed domains used for traffic proxying. Specifically, this rule detects network connections initiated by 'wscript.exe' to known SocGholish domain shadowing infrastructure.
Detects outbound web traffic directed towards common password management services (e.g., 1Password, LastPass, Bitwarden) originating from user agents associated with AI and LLM tools (e.g., OpenAI, Claude, Copilot). This combination of destinations and user agents is highly anomalous and may indicate potential credential exfiltration or interaction with automated agents acting on behalf of a user to access sensitive vault data.
Detects instances where the Local Security Authority Subsystem Service (lsass.exe) initiates a network connection to the loopback address (127.0.0.1 or ::1), excluding standard SMB traffic (Port 445). Such behavior by LSASS is highly anomalous and may indicate exploitation attempts, such as memory dumping or credential harvesting techniques involving inter-process communication.
Detects execution of Python interpreters used as an SMB server, specifically where the implementation is not using the standard SMB port (445). This behavior is often associated with the use of tools like Impacket's smbserver.py for lateral movement, staging, or data exfiltration, attempting to blend in by using non-standard ports.
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