Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,247 detections
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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.
Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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