Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,247 detections
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Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
Detects activity associated with Everest ransomware by matching known file hashes (in DeviceFileEvents/DeviceProcessEvents) and known C2/leak-site domains (in DeviceNetworkEvents).
This rule monitors for various indicators of compromise (IOCs) including malicious domains, IP addresses, specific URI paths, file names, and file hashes. It aggregates telemetry from network, file, process, and certificate events to detect potential threats interacting with known bad infrastructure or executing suspicious files associated with malware campaigns.
This rule monitors network traffic from CommonSecurityLog data to detect bidirectional communication between NetScaler appliances and known malicious infrastructure associated with the CVE-2026-88772 campaign, which is indicative of command-and-control activity.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Detects specific markers in UDP traffic on ports 3478, 5349, and 443 that are associated with the DragonForce malware's TRN1 C2 beaconing protocol. The rules identify session initiation, task polling, task acknowledgment, and result uploading behaviors.
Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
Detects the handshake process for Blackwood/Chisel reverse SOCKS5 or TCP-over-HTTP tunneling to a known malicious Iranian-hosted C2 IP address. The detection matches specific HTTP headers used by the Chisel tool during its initialization phase.
Detects the handshake process for Blackwood/Chisel reverse SOCKS5 or TCP-over-HTTP tunneling to a known malicious Iranian-hosted C2 IP address. The detection matches specific HTTP headers used by the Chisel tool during its initialization phase.
This rule detects outbound network connections directed at a known IP address associated with Akira ransomware infrastructure. The rule specifically monitors for communication with 64.227.4.134, which has been identified as a C2 node utilizing GOST tunnels. This behavior is indicative of established C2 connectivity by Akira ransomware actors.
Detects the 'HCENC1:' marker in HTTP request and response bodies, which is associated with RUSTYSHADE malware used by the APT36 (Transparent Tribe) threat group for Command and Control communications.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects the execution of the Windows finger.exe utility with a command-line argument containing an '@' symbol, which indicates a request to a remote host. This technique is often abused by adversaries for reconnaissance or to retrieve remote stagers or other payloads, as the finger protocol is rarely used in modern enterprise environments.
Detects activity associated with Everest ransomware by matching known file hashes (in DeviceFileEvents/DeviceProcessEvents) and known C2/leak-site domains (in DeviceNetworkEvents).
Detects instances where a browser extension is installed, followed within a two-hour window by the browser process making network connections to generative AI service domains. This behavior is indicative of potential malicious browser extension activity, such as scraping or exfiltrating session/browsing data to third-party AI backend services.
This rule monitors for various indicators of compromise (IOCs) including malicious domains, IP addresses, specific URI paths, file names, and file hashes. It aggregates telemetry from network, file, process, and certificate events to detect potential threats interacting with known bad infrastructure or executing suspicious files associated with malware campaigns.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
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