Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the presence of known MD5 file hashes associated with the TraderTraitor trojanized Terraform provider campaign (also known as FLATROOF/ROOFDECK). The query sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceImageLoadEvents across the last 30 days.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
The following analytic detects a process loading the credui.dll or wincredui.dll module. This detection leverages Sysmon EventCode 7 to identify instances where these DLLs are loaded by processes outside typical system directories. This activity is significant because adversaries often abuse these modules to create fake credential prompts or dump credentials, posing a risk of credential theft. If confirmed malicious, this activity could allow attackers to harvest user credentials, leading to unauthorized access and potential lateral movement within the network.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
This rule detects potential DLL sideloading by monitoring known legitimate Windows binaries that are commonly abused to load malicious DLLs from non-standard directories (i.e., not System32, SysWOW64, or WinSxS). This activity is often associated with the TerminalFix / Lorem Ipsum Loader campaign.
This rule detects potential DLL sideloading activity associated with the Lorem Ipsum Loader. It monitors image load events to identify specific legitimate Windows binaries (often used for sideloading) that load non-system DLLs. The rule filters out legitimate DLL loads from standard Windows system directories to highlight anomalous behavior.
Detects the loading of an unsigned or invalidly signed DLL from commonly abused user-writable directories (Temp, AppData, Public). This behavior is characteristic of DLL side-loading techniques, often used by threat actors like the Lazarus Group to execute malicious code via a legitimate, trusted application.
Detects the loading of WPF/XAML-related assemblies (PresentationFramework.dll, System.Xaml.dll, or PresentationCore.dll) by the SharePoint web server process (w3wp.exe). This behavior is highly irregular for typical SharePoint web worker processes and may indicate an exploitation attempt targeting deserialization vulnerabilities leading to remote code execution.
This rule detects potential DLL sideloading by monitoring known legitimate Windows binaries that are commonly abused to load malicious DLLs from non-standard directories (i.e., not System32, SysWOW64, or WinSxS). This activity is often associated with the TerminalFix / Lorem Ipsum Loader campaign.
This rule detects the loading of a suspicious DLL file named 'active_desktop_render_x64.dll' or the initiation of activity by a process named 'PDF_C2089_20260911100446.exe', which may indicate the execution of malicious code or potential process injection activity.
Detects a suspicious execution sequence associated with the SectopRAT loader. The rule monitors for ReportDump.exe being launched from a ProgramData directory by common scheduling or service host processes, followed immediately by the loading of a malicious sdkcra.dll library.
Detects the loading of known DLLs (WinSparkle.dll, libcurl.dll, vim64.dll, dbghelp.dll, jli.dll, nvml.dll) from suspicious or non-standard file paths. The rule cross-references these image loads with file activity, identifying potential side-loading scenarios where a library is loaded from an unexpected directory or within an archive-related context. It also includes an explicit hash-based detection for a known malicious file.
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