Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Python processes executing from suspicious locations like AppData or Temp folders that also establish outbound network connections. This behavior can indicate the execution of malicious Python scripts, often associated with malware, initial access, or command and control activities.
This rule monitors for suspicious activity originating from the DHCP Client service process (svchost.exe running with 'Dhcp' in the command line). It detects unauthorized child processes (such as cmd.exe or powershell.exe), unexpected child processes that deviate from established baselines, service crashes potentially indicative of exploitation, and anomalous network connections to non-standard DHCP ports or external IP addresses.
This rule detects outbound network connections from devices to a specific remote IP address (62.102.148.212) on a set of suspicious remote ports (37393, 45839, 38471, 12345, 4444, 5555). This pattern is indicative of potential command and control (C2) communication or data exfiltration to a known malicious endpoint.
This rule detects network activity associated with the Hashtopolis agent. Specifically, it looks for the string "hashtopolis" within the HTTP User-Agent header of traffic flowing from a client to a server. This activity is linked to the 'FortiBleed campaign', which involves distributed offline cracking of SHA-256 FortiGate administrator credential hashes.
This rule monitors network traffic for outbound connections to a specific remote IP address (38.60.253.35) on port 8084. This pattern is indicative of communication with a known command-and-control server or malicious infrastructure.
Detects DNS requests originating from endpoints targeting the 'adblock-for-youtube.com' domain. This activity may be associated with browser extensions that exhibit unexpected or potentially unwanted network behavior.
Detects network connections from the 'Adblock for YouTube' browser extension to its remote API endpoint (api.adblock-for-youtube.com). These connections are associated with fetching 'scripletsRules', a post-installation mechanism used to deliver dynamic payloads and potentially bypass extension security reviews.
This rule detects suspicious network connections, process activity, and file events related to Node.js or systemd-userdbd, potentially indicating C2 communication or the presence of malicious tools. Specifically, it looks for outbound TCP connections to port 4444, process command lines containing shell commands or 'node-pty', and file paths/names associated with 'apintergrationpost' or 'node-pty'.
Detects potential ransomware activity characterized by the creation of files with a specific extension (.prinzeugen) followed by outbound network communication to known malicious IP addresses within a 24-hour window, which is indicative of double-extortion ransomware behavior.
Detects outbound network connections to remote URLs containing keywords associated with blockchain, cryptocurrency, or Web3 technologies. This behavior may indicate an adversary utilizing blockchain services or decentralised infrastructure for command and control (C2) communication, exfiltration, or proxying.
This query detects network communication to known Command and Control (C2) IP addresses used by the Medusa ransomware group, often via malicious SimpleHelp RMM servers.
This rule detects network connections from devices to a specific IP address (62.102.148.212) and a set of associated ports (37393, 45839, 38471, 12345, 4444, 5555). This IP address and these ports are known indicators of compromise for the Remcos Remote Access Trojan (RAT) Command and Control (C2) infrastructure. Detection of such connections indicates potential Remcos RAT activity within the environment.
Detects potential ransomware activity characterized by the creation of files with a specific extension (.prinzeugen) followed by outbound network communication to known malicious IP addresses within a 24-hour window, which is indicative of double-extortion ransomware behavior.
Detects HTTP C2 communication patterns associated with Remcos RAT loader by monitoring network events for specific URLs and known malicious IP addresses. This rule identifies outbound network connections to hardcoded malicious IPs and specific URL paths often used for command and control by Remcos.
This rule detects suspicious command-line activity that may indicate the leakage of API keys, specifically those resembling OpenAI API keys (starting with 'sk-', 'sk_live_', or 'sk_test_'). It looks for these patterns in conjunction with common data transfer utilities like curl, wget, powershell, or python, when executed by a process that is not a standard shell or explorer process. The rule triggers if two or more such events occur within an hour on the same computer.
Detects the execution of VILE ransomware by identifying specific dropped file artifacts (vile_icon.ico, vile_deadlines.json, vile_user_files.zip) and correlating these file events with outbound network connections made by the same process to remote non-private IP addresses, indicating the likely exfiltration of harvested system metadata.
EchoCreep Sends an Up Success Check-In
Cortex XDR
Detects a Go backdoor or renamed service process emitting the distinctive 'Up Success' runtime message used during Discord channel check-in. This rule specifically looks for network events where the process name matches common system processes (searchapp, service, update) and the command line contains 'Up Success'.
Detects an iox-derived proxy process generating a key and initialisation vector while configuring hard-coded forwarding settings. This behavior is indicative of the SmuxProxy malware, which is known to use these techniques for encrypted communication and data forwarding.
This rule detects network connections to known malicious IP addresses or attempts to resolve specific domains associated with malicious activity. It monitors for outbound network traffic patterns identified as potential indicators of compromise (IOCs) linked to command and control (C2) servers.
Detects network traffic to known Storm-2949 ScreenConnect infrastructure IPs. This rule identifies outbound network connections from devices to specific IP addresses associated with command and control (C2) infrastructure used by the Storm-2949 threat group, leveraging ScreenConnect for remote access.
Detects outbound network connections to 'stitch-design.ai' or 'stitch-google.com', which are identified as malicious domains utilized by a compromised AI agent skill. This skill attempts to bypass security vetting by dynamically fetching its instructions from these attacker-controlled external domains post-installation.
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