Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,252 detections
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Detects outbound network connections initiated by the VLC media player (vlc.exe) to public IP addresses using the RTSP protocol (port 554) or referencing common media file extensions (e.g., .m3u, .xspf) in the command line. This behavior is often associated with remote stream retrieval or, in adversarial contexts, the potential use of media players to exfiltrate data or retrieve malicious remote payloads.
Detects network requests to Google Sheets API containing specific markers (-tk- or val-) in the request body, indicative of potential command and control (C2) communication patterns often associated with malware payloads using Google Sheets for data exfiltration or command retrieval.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
This rule detects unauthorized or suspicious automated scraping behavior by identifying periodic, non-interactive tasks that perform high-volume outbound network requests to multiple external hosts. It specifically filters for processes launched via scheduling mechanisms (Task Scheduler, cron) that exhibit indicators of anti-bot or proxy-rotation bypass techniques (such as usage of headless browser tools or proxy-related keywords in command lines). The rule is tuned to ignore legitimate system maintenance, update, and monitoring processes.
Detects the creation, modification, or execution of a hidden file named '.rc' located in '/usr/local/bin/'. This behavior is suspicious as it may indicate an attempt to establish persistence or run malicious scripts via hidden configuration files, especially when performed by non-standard installers.
Detects the creation, modification, or execution of a hidden file named '.rc' located in '/usr/local/bin/'. This behavior is suspicious as it may indicate an attempt to establish persistence or run malicious scripts via hidden configuration files, especially when performed by non-standard installers.
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
Detects network traffic matching a list of known malicious domains and IP addresses observed in CommonSecurityLog events.
Detects network traffic matching a list of known malicious domains and IP addresses observed in CommonSecurityLog events.
This rule detects unauthorized or suspicious automated scraping behavior by identifying periodic, non-interactive tasks that perform high-volume outbound network requests to multiple external hosts. It specifically filters for processes launched via scheduling mechanisms (Task Scheduler, cron) that exhibit indicators of anti-bot or proxy-rotation bypass techniques (such as usage of headless browser tools or proxy-related keywords in command lines). The rule is tuned to ignore legitimate system maintenance, update, and monitoring processes.
This rule detects unauthorized or suspicious automated scraping behavior by identifying periodic, non-interactive tasks that perform high-volume outbound network requests to multiple external hosts. It specifically filters for processes launched via scheduling mechanisms (Task Scheduler, cron) that exhibit indicators of anti-bot or proxy-rotation bypass techniques (such as usage of headless browser tools or proxy-related keywords in command lines). The rule is tuned to ignore legitimate system maintenance, update, and monitoring processes.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
Matches known VectraRAT sample SHA-256 hashes and the ClickFix distribution domain (verify-cloud.digital) recovered from pivoting across exposed VectraRAT distribution infrastructure
Detects sensitive data exfiltration attempts (PII, credit card, OTP) via HTTP POST requests to suspicious lookalike domains, followed by a WebSocket connection to known IronToll C2 infrastructure.
Detects sensitive data exfiltration attempts (PII, credit card, OTP) via HTTP POST requests to suspicious lookalike domains, followed by a WebSocket connection to known IronToll C2 infrastructure.
This rule monitors DeviceNetworkEvents for outbound connections to a list of known malicious or suspicious IP addresses. This activity is indicative of potential command and control (C2) communication or unauthorized data exfiltration.
This rule monitors DeviceNetworkEvents for outbound connections to a list of known malicious or suspicious IP addresses. This activity is indicative of potential command and control (C2) communication or unauthorized data exfiltration.
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