Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
This rule monitors DeviceNetworkEvents for outbound network connections to a list of known malicious IP addresses associated with various C2 frameworks and malware families, as identified by threat intelligence feeds (e.g., ThreatFox). Identifying these connections helps detect potential C2 communication and ingress tool transfer.
Detects successful network connections to a specific domain (buildersouthwestlondon.com) where the request URL path includes the string '/cloud/'. This pattern is often indicative of downloading secondary payloads, command-and-control communication, or accessing malicious infrastructure related to a specific campaign.
This rule monitors for outbound network connections to a list of known malicious IP addresses identified as part of the GhostCode command-and-control (C2) infrastructure. It uses DeviceNetworkEvents data to flag activity originating from endpoints and highlights a specific IP address used during the Intune/MDM enrollment process for further investigation.
This rule detects activity associated with the 'Ghostcode' threat campaign by monitoring multiple telemetry sources. It identifies connections to known malicious IP addresses and domains, patterns consistent with phishing kit hosting, and specific URL structures used in credential harvesting or payload delivery. The rule correlates sign-in logs, device network events, DNS queries, and email telemetry to identify potential compromise.
This rule detects activity associated with the 'Ghostcode' threat campaign by monitoring multiple telemetry sources. It identifies connections to known malicious IP addresses and domains, patterns consistent with phishing kit hosting, and specific URL structures used in credential harvesting or payload delivery. The rule correlates sign-in logs, device network events, DNS queries, and email telemetry to identify potential compromise.
Detects outbound network connections to 'acrobat-updater.com' involving suspicious API paths that mimic the Adobe Acrobat updater. This may indicate an attempt by an adversary to masquerade malicious command and control or data exfiltration as legitimate update traffic.
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
Detects outbound network connections from devices to specific suspicious domains identified in the detection logic. This rule monitors for connections to 'ns2.asiainfo.it.com' and 'www.wordcheck.info', which may be indicative of malware communication, command and control, or malicious web activity.
This rule detects periodic network beaconing patterns consistent with BabylonRAT malware. It flags established TCP connections to external networks that occur at a frequency exceeding 5 connections within a 300-second window, which may indicate a C2 check-in mechanism. Due to the heuristic nature of this detection, it is recommended to tune the threshold and correlate with payload analysis or entropy inspection to reduce noise.
This rule detects periodic network beaconing patterns consistent with BabylonRAT malware. It flags established TCP connections to external networks that occur at a frequency exceeding 5 connections within a 300-second window, which may indicate a C2 check-in mechanism. Due to the heuristic nature of this detection, it is recommended to tune the threshold and correlate with payload analysis or entropy inspection to reduce noise.
This rule identifies potential malicious activity by detecting the presence of known malicious file hashes (SHA256 and MD5) on endpoints and monitoring for DNS queries or network connections to a known malicious staging domain (yapw.life). The detection correlates file execution, file activity, and network communication to identify stages of an attack such as malware installation or C2 communication.
This rule identifies potential malicious activity by detecting the presence of known malicious file hashes (SHA256 and MD5) on endpoints and monitoring for DNS queries or network connections to a known malicious staging domain (yapw.life). The detection correlates file execution, file activity, and network communication to identify stages of an attack such as malware installation or C2 communication.
This rule identifies potential malicious activity by detecting the presence of known malicious file hashes (SHA256 and MD5) on endpoints and monitoring for DNS queries or network connections to a known malicious staging domain (yapw.life). The detection correlates file execution, file activity, and network communication to identify stages of an attack such as malware installation or C2 communication.
This rule identifies potential malicious activity by detecting the presence of known malicious file hashes (SHA256 and MD5) on endpoints and monitoring for DNS queries or network connections to a known malicious staging domain (yapw.life). The detection correlates file execution, file activity, and network communication to identify stages of an attack such as malware installation or C2 communication.
This rule identifies successful network connections from local devices to a predefined list of known malicious IP addresses within the last 7 days. Such connections often indicate active communication between a compromised endpoint and adversary-controlled infrastructure.
This rule identifies successful network connections from local devices to a predefined list of known malicious IP addresses within the last 7 days. Such connections often indicate active communication between a compromised endpoint and adversary-controlled infrastructure.
This rule monitors network traffic to detect a specific 'Client Hello' beaconing behavior associated with the RMRLX Remote Access Trojan (RAT), identifying potential command-and-control communication directed at a known malicious IP address over TCP port 4561.
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
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