Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors for indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
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 indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
Detects instances where a user account associated with a detected infostealer malware infection (e.g., Redline, Raccoon, Vidar) successfully authenticates to a cloud service from a suspicious network location, such as a VPN, residential proxy, or Tor exit node, within 24 hours of the infection alert.
This rule correlates endpoint security alerts for popular information-stealer malware (Lumma, StealC, Vidar, RedLine, Acreed, Atomic Stealer) with subsequent successful cloud identity authentication events from the same user account. The correlation window is set to 72 hours following an endpoint infostealer detection, which suggests potential account takeover or unauthorized access facilitated by credentials stolen from a compromised endpoint.
Detects the loading of known vulnerable kernel drivers commonly used for Bring Your Own Vulnerable Driver (BYOVD) attacks, followed within 15 minutes by administrative attempts to stop, delete, or kill common security product processes or services.
Detects instances where one process initiates an injection mechanism (such as CreateRemoteThread, QueueUserAPC, or NtMapViewOfSection) into another process. The rule specifically alerts when these actions target common, high-value, or frequently abused processes such as explorer.exe, svchost.exe, or web browsers (chrome.exe, firefox.exe, msedge.exe), which are common targets for maintaining persistence or evading detection.
Detects activity associated with Everest ransomware by matching known file hashes (in DeviceFileEvents/DeviceProcessEvents) and known C2/leak-site domains (in DeviceNetworkEvents).
Detects activity associated with Everest ransomware by matching known file hashes (in DeviceFileEvents/DeviceProcessEvents) and known C2/leak-site domains (in DeviceNetworkEvents).
Detects activity associated with Everest ransomware by matching known file hashes (in DeviceFileEvents/DeviceProcessEvents) and known C2/leak-site domains (in DeviceNetworkEvents).
This rule detects potential ransomware activity by correlating a rapid burst of file creation, modification, or renaming events across multiple directories with prior execution of defense evasion commands, such as deleting volume shadow copies or terminating security-related processes. This sequence is characteristic of ransomware operators attempting to disable recovery options and security protections before commencing mass file encryption.
This rule monitors for indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
This rule correlates endpoint-based alerts related to credential theft or infostealer malware with subsequent successful cloud identity authentication events. It identifies situations where a user, who has recently triggered a credential theft alert on an endpoint, logs into a cloud environment from a country or IP address that has not been historically associated with that user within a 24-hour window.
This rule detects potential session hijacking by correlating endpoint-based detections of known infostealer malware (e.g., Vidar, Lumma, Redline) with a subsequent cloud Identity Provider (IdP) login for the same user. The correlation specifically focuses on instances where the IdP authentication originates from an IP address different from the infected host, suggesting the use of stolen session cookies by an external actor to access corporate resources.
Detects instances where an alert marked as process injection (T1055) involves an action process that is unsigned and differs from the actor process image, suggesting potential execution of an unauthorized or malicious payload masked by process injection techniques.
This rule performs indicator-based detection for the SectopRAT malware. It monitors network activity for connections to known command-and-control (C2) IP addresses and backup domains, as well as file and process creation events matching known malicious SHA256 hashes associated with the malware.
Detects instances where a suspected malicious loader initiates process hollowing or APC injection by launching trusted Windows binaries (e.g., LockAppHost.exe, makecab.exe, Magnify.exe) in a suspended state. The rule identifies suspicious post-injection behavior such as unexpected network connections or child process creation originating from these typically benign binaries, which is characteristic of the DeepLoad/ClickFix attack chain.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
Detects the ClosedQuorum 'unhook' evasion technique where a process patches ntdll's EtwEventWrite to suppress ETW telemetry, occurring within a 5-minute window of the same process initiating outbound network connections to known LLM C2 provider APIs or Discord webhooks used for AI-arbitrated decision cycles.
This rule detects the loading of the known vulnerable NvFsFilter (Alinubx) driver, followed by the abrupt cessation of multiple active AV/EDR processes within a 30-minute window. This behavior is indicative of a Bring Your Own Vulnerable Driver (BYOVD) attack, where the driver is used to execute kernel-mode commands to terminate security software, bypassing standard protection mechanisms.
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