Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects KATARU IoT malware embedded exploit code for CVE-2026-31431 (Copy Fail) Linux privilege escalation, identified by shared exploit-chain strings and syscall sequences used to spawn su as root
Detects KATARU IoT malware embedded exploit code for CVE-2026-31431 (Copy Fail) Linux privilege escalation, identified by shared exploit-chain strings and syscall sequences used to spawn su as root
Detects the creation of mutexes or named pipes containing the string 'SALITY', which is a characteristic indicator of the Sality malware family.
Detects the delivery of Rapuncel infostealer via abnormally large ZIP archives that incorporate binary padding with junk DLL files (such as TitanStorage.dll or ProManager.dll). This technique is used to evade security scanners that have file size limitations. The rule tracks specific campaign filenames and junk file markers.
Detects execution or file presence associated with HOOKEDGE/HEADLACE malware. This rule uses a dual-approach: matching known malicious file hashes (SHA256) and monitoring for specific script files (bat, vbs, cmd) following a GUID-formatted naming convention typically used by the HOOKEDGE installer chain.
Detects active phishing threat-intelligence indicators whose domain name uses one of the disposable TLDs observed across IronToll's 73+ rotating lookalike domains (.cfd, .sbs, .icu, .buzz, etc.). Scoped to the structured ThreatType classification only — dropped the free-text 'Description has phishing' fallback, since KQL's 'has' is a substring/token match with no negation awareness (e.g. a description stating an indicator is 'not related to phishing' would still match), which could pull in indicators unrelated to actual phishing activity.
Detects the execution or invocation of processes matching a known list of malicious file hashes (SHA256). The rule monitors both direct execution (SHA256) and instances where a malicious file acts as an initiating process.
Detects the execution or invocation of processes matching a known list of malicious file hashes (SHA256). The rule monitors both direct execution (SHA256) and instances where a malicious file acts as an initiating process.
This rule detects network connections to a list of known lookalike domains or specific indicators (a payload GUID and a URI hash) associated with suspicious activity. It uses a time-based aggregation to identify hosts interacting with multiple suspicious domains or both specific payload indicators, suggesting potential C2 activity or a targeted phishing/malware delivery campaign.
This rule monitors for process execution and file activity associated with a specific file hash known to be malicious. By tracking both process and file events using a SHA256 identifier, it captures when a specific threat artifact is executed or interacted with on a system.
This rule monitors for the execution of a process that matches a specific SHA256 file hash identified as malicious.
Detects the execution or invocation of processes matching a known list of malicious file hashes (SHA256). The rule monitors both direct execution (SHA256) and instances where a malicious file acts as an initiating process.
Detects Java-based Metasploit/Meterpreter payload files (.class/.jar) dropped post-exploitation, as observed following PaperCut RCE exploitation chain
GhostContainer
YARA
Detects GhostContainer .NET-based backdoor assembly components deployed on compromised Exchange servers, requiring multiple corroborating unique indicators (module/class names, C2 header, masquerading filenames) to reduce false positives on generic .NET assemblies
GhostContainer
YARA
Detects GhostContainer .NET-based backdoor assembly components deployed on compromised Exchange servers, requiring multiple corroborating unique indicators (module/class names, C2 header, masquerading filenames) to reduce false positives on generic .NET assemblies
Detects the GhostContainer .NET-based backdoor assembly deployed on compromised Microsoft Exchange servers, requiring multiple corroborating unique indicators (C2 header, proxy class name, virtual path parameters) alongside .NET/PE structure to reduce false positives
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.
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.
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.
Detects HTTP GET requests to '/api.php?t=' containing a 13-digit timestamp identifier, followed by a response body containing 'download_link'. This pattern is indicative of the SilverFox malware relaying instructions or stage-two payload delivery.
Detects potential Qilin ransomware binaries following Cisco FMC-based intrusion by UAT-11988. Source intel provides only name-level attribution (no sample hash/byte IOC for the payload), so this is tightened to a valid PE, a plausible ransomware-payload size band, and >=2 occurrences of the family string -- a bare single 'Qilin' substring in an arbitrary PE (e.g. an unrelated app, build path, or AV/report string) is not sufficient to alert on alone.
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