Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,879 detections
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Detects network connections to Filen.io cloud storage initiated by processes other than common web browsers. This behavior is often associated with the use of command-line tools or scripts for unauthorized file exfiltration or data staging.
Detects Microsoft Outlook spawning a command-line interpreter (cmd.exe or powershell.exe) followed by a network connection originating from that interpreter within a 5-minute window. This behavior is highly suspicious and often indicative of malicious macro execution or exploit delivery via email attachments leading to command-and-control activity.
This rule identifies instances where python.exe or python3.exe executes from non-standard system paths and establishes an outbound network connection to external (non-private/non-loopback) IP addresses. This behavior is indicative of potential malicious activity, as legitimate applications typically execute from protected program file directories, while adversaries often execute unauthorized binaries from temporary or user-writable locations to initiate command and control (C2) communication.
This rule detects potential command and control (C2) beaconing activity by identifying non-browser processes that initiate regular, sustained outbound network connections over port 443. It aggregates connection data by hour and calculates metrics such as average frequency and standard deviation to identify consistent, periodic communication patterns characteristic of C2 agents while excluding common legitimate web browsers.
This rule detects potential tunnel creation using PowerShell. It identifies network connections from PowerShell processes to common SSH (22) or Tor (9001, 9050) ports, as well as PowerShell script block activity involving socket connections directed at .onion domains, SSH keys, or authorized keys files, which may indicate remote access tunneling or command-and-control communication.
Detects potential supply chain attacks where a suspicious Python package is installed via 'pip' followed by execution of suspicious commands or network activity from 'python.exe' within a short timeframe. This rule correlates process creation events involving pip installations with subsequent suspicious command-line activity or external network connections from Python processes.
This rule detects potential data staging and exfiltration behavior characterized by large volumes of outbound network data combined with high frequency file write operations across multiple file types. It monitors Sysmon Event IDs 3 (Network connection) and 11 (FileCreate) to identify indicators often associated with pre-encryption staging by ransomware or data theft campaigns.
Detects BQTLock ransomware (BQT.exe) identifying and exfiltrating captured desktop screenshots via the Telegram Bot API 'sendPhoto' endpoint. The rule monitors network connections initiated by the identified malware process to api.telegram.org.
Detects network connections to the Telegram API (api.telegram.org) from processes identified as LOLBins or residing in suspicious, potentially writable locations such as Temp, AppData, or user-defined directories. This activity is often indicative of C2 communication or data exfiltration by malware bypassing standard messaging client restrictions.
This rule detects potentially unauthorized or suspicious outbound network connections to common Generative AI service APIs (OpenAI, Anthropic, Mistral) originating from command-line interpreters (cmd.exe, powershell.exe) or python.exe instances running from temporary directories, which could indicate data exfiltration or the use of AI tools for malicious automation.
Detects instances where a non-standard browser process accesses sensitive browser credential files (e.g., Login Data, Cookies, key4.db) and simultaneously establishes a network connection to Discord or transmits data to a Discord webhook. This pattern is consistent with infostealer malware attempting to exfiltrate cached credentials via external services.
This rule detects outbound network connections to common webhook and temporary storage services (e.g., discord.com webhooks, webhook.site, pipedream.net) initiated by processes other than standard web browsers. Such behavior is often indicative of automated data exfiltration, command-and-control (C2) communication, or malicious script activity using these services to bypass traditional network defenses.
This rule monitors for suspicious Linux kernel operations, including the loading of BPF programs via bpftool or system calls, and attempts by debugging or tracing tools to interact with processes using forceful termination signals. It also includes an anomaly detection branch that identifies processes with active network connections that are missing from the system process list, which may indicate process ghosting or hiding techniques.
Detects repeated outbound network connections (HTTPS or HTTP) originating from QEMU emulator processes (qemu-system-x86_64 or qemu-system-i386). This activity is indicative of C2 beaconing or post-exploitation traffic originating from a virtualized guest hidden on a host system.
Detects the unauthorized exfiltration of SSL private key files using Netcat to a known malicious C2 IP address (62.171.185.97). The rule monitors process execution commands that include specific file names associated with certificate harvesting or extraction tools being piped or transmitted over the network.
This rule detects scenarios where Microsoft Teams initiates a potential screen-sharing session (via outbound network connections on specific ports) followed shortly by the access of VPN configuration files on the same host. This sequence may indicate an attacker using screen-sharing to view credentials or configuration details and subsequently attempting to utilize a VPN client.
Detects the installation, service creation, registry modification, and network activity associated with the Tailscale VPN tool. This rule monitors for persistent use of Tailscale, which can be utilized by threat actors to establish encrypted mesh access to internal environments.
Detects npm package installation activity or network communication originating from npm-related processes that involve identified malicious packages, maintainers, or scopes associated with supply chain attacks. Specifically monitors for the '@withgoogle' scope squatting, as well as specific malicious package names and maintainer accounts, and tracks related outbound network connections to suspicious C2 domains.
Detects malicious activity associated with npm supply chain compromise, including execution of known malicious npm lifecycle scripts, DNS queries to suspected C2 domains, and unauthorized access to sensitive developer credential files (such as .npmrc, .aws/credentials, and SSH keys) by Node.js processes.
Detects execution of the Tailscale or Tailscaled process that is not initiated by standard system or management processes. This may indicate unauthorized installation or use of the Tailscale VPN software for covert command and control or lateral movement, especially when combined with immediate network activity to Tailscale infrastructure or ports.
Detects the presence and activity of Tailscale VPN, including process execution, command-line arguments, network connections to Tailscale infrastructure, and communications within the Tailscale CGNAT address range (100.64.0.0/10). This rule identifies the potential use of Tailscale for tunneling or remote access, which may be unauthorized in some environments.
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