Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects execution artifacts of the MovieReaper stage 2 implant, specifically its capability to parse and load COFF modules into memory without writing them to disk. The rule monitors process command lines for 'module_init' and identifies suspicious API activity related to memory-based module loading, such as reflective DLL loading or remote thread creation.
This rule detects the presence of files matching known SHA256 hashes associated with the GhostCode phishing kit. It monitors for these files both in email attachments and on local device filesystems to identify potential delivery and execution of malicious phishing payloads.
Detects a malicious, trojanized Electron-based application masquerading as 'Claude Opus 5 Free Desktop'. The rule identifies specific artifacts embedded within the binary, such as GitHub repository paths, internal Electron loader scripts (snmc.js), and staging patterns associated with the RevStealer infostealer campaign attributed to the Water Curse threat actor.
Detects execution of potentially suspicious processes ('Launcher.exe' or 'GapiUpdate.exe') originating from ClickOnce-related processes ('dfsvc.exe' or 'rundll32.exe' with 'dfshim.dll'). ClickOnce is often abused to proxy execution of malicious code, allowing adversaries to execute applications from user-writable directories without administrative privileges.
This rule monitors DeviceFileEvents and DeviceProcessEvents for the execution or presence of files matching a predefined list of known malicious SHA256 hashes.
Detects Vidar Stealer v2.x-3.x custom VM bytecode interpreter used to deobfuscate strings via a fetch-decode-execute loop with sparse opcode dispatch and single accumulator
This rule monitors file events to detect the presence of known malicious files based on their SHA256 or MD5 file hashes.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
Detects the presence of known file hashes associated with Vectra Remote Access Trojan (RAT). The rule monitors both file creation/existence events and process execution events where the SHA256 hash matches the identified indicators of compromise.
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 the CastleRAT intermediate loader, which acts as a secondary stage before deploying SloppyRAT. The rule identifies the malicious payload by scanning for unique embedded strings, specific user-agent strings, and command-and-control (C2) communication patterns (domains and URI paths) within executable files.
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.
Detects known malicious files associated with Kimsuky (APT-C-55) Stella_Gary attack chain by MD5 hash: OrionQuests-Setup.exe installer, guide.url.lnk, test.bef_fri, and backdoor payload component
Detects known malicious files associated with Kimsuky (APT-C-55) Stella_Gary attack chain by MD5 hash: OrionQuests-Setup.exe installer, guide.url.lnk, test.bef_fri, and backdoor payload component
Detects known malicious files associated with Kimsuky (APT-C-55) Stella_Gary attack chain by MD5 hash: OrionQuests-Setup.exe installer, guide.url.lnk, test.bef_fri, and backdoor payload component
Detects the Kimsuky second-stage payload test.bef_fri which masquerades as an RTF file via a falsified RTF header before header repair and decompression
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