Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the invocation of the AppInstaller executable to install .msix packages, often used in software installation or malicious delivery scenarios involving application deployment.
This rule detects the execution of processes or network connections that impersonate 'WhatsApp' or 'Instagram' companion applications. It identifies specific file names and process command lines that mimic these applications, often associated with browser-launched or malicious payloads, and monitors for associated network traffic directed toward suspicious endpoints like herokuapp domains.
Detects the creation, modification, or renaming of unsigned executable files (.exe, .dll, .sys, .efi) within critical Windows system directories (System32, SysWOW64, drivers, boot). The rule excludes activity triggered by known trusted OS update processes, such as TrustedInstaller or Windows Update services, and optionally flags occurrences outside defined maintenance windows.
Detects the creation, modification, or renaming of unsigned executable files (.exe, .dll, .sys, .efi) within critical Windows system directories (System32, SysWOW64, drivers, boot). The rule excludes activity triggered by known trusted OS update processes, such as TrustedInstaller or Windows Update services, and optionally flags occurrences outside defined maintenance windows.
This rule detects the presence of HardBreacher proof-of-concept executables or DLLs containing the string 'SolidSnake.dll'. This identifier is associated with the payload delivery mechanism for a Kaspersky Endpoint Security exploit.
This rule monitors security event logs for the presence of a specific file hash identified as potentially malicious (d41d8cd98f00b204e9800998ecf8427e). This hash specifically corresponds to an empty file (MD5 checksum of an empty string), often indicating potential obfuscation techniques, failed file writes, or placeholder files used by malicious scripts.
Detects WinRAR SFX droppers deploying CCProxy proxy server with associated configuration and account files (CCProxy.ini, AccInfo.ini, renamed svchost.exe)
Detects WinRAR SFX droppers deploying CCProxy proxy server with associated configuration and account files (CCProxy.ini, AccInfo.ini, renamed svchost.exe)
Detects WinRAR SFX droppers deploying CCProxy proxy server with associated configuration and account files (CCProxy.ini, AccInfo.ini, renamed svchost.exe)
Detects PyInstaller-built UltraVNC installer renamed to svchost.exe and staged for deployment to the non-standard C:\Windows\Fonts\web directory
Detects the execution of a Faronics Deploy installer that has been renamed to mimic Adobe-related software. This technique is often used in phishing campaigns to trick users into executing binaries that lead to the silent installation of remote monitoring tools like ScreenConnect.
This rule detects the presence of specific file hashes known to be associated with backdoored software builds, specifically related to recent supply chain compromises affecting South Korean software vendors (e.g., HAProxy builds). It monitors device file events, process initiation, and identity logon events to identify systems that have deployed, executed, or been accessed by these malicious binaries.
Detects the presence of a malicious HAProxy binary (version 2.8.12) that has been recompiled with an embedded 'ted' plugin. The plugin is designed to intercept and manipulate web traffic, as evidenced by specific strings related to pipe file handling, logging, and registration operations found within the binary.
This rule monitors endpoint events (file, process, and image load) for a specific malicious MD5 hash or the presence of a specific file name pattern 'Request for Quotation' often used in malicious lures. It provides visibility into potential execution of known malicious payloads.
This rule monitors endpoint events (file, process, and image load) for a specific malicious MD5 hash or the presence of a specific file name pattern 'Request for Quotation' often used in malicious lures. It provides visibility into potential execution of known malicious payloads.
This rule identifies instances of OpenVPN-related executables (openvpn.exe, openvpnserv.exe, tapctl.exe) running on endpoints where the version is below the threshold considered patched (2.7.7). It uses file metadata and certificate information to verify the binary version and flag legacy, potentially vulnerable installations.
This rule identifies instances of OpenVPN-related executables (openvpn.exe, openvpnserv.exe, tapctl.exe) running on endpoints where the version is below the threshold considered patched (2.7.7). It uses file metadata and certificate information to verify the binary version and flag legacy, potentially vulnerable installations.
This rule identifies instances of OpenVPN-related executables (openvpn.exe, openvpnserv.exe, tapctl.exe) running on endpoints where the version is below the threshold considered patched (2.7.7). It uses file metadata and certificate information to verify the binary version and flag legacy, potentially vulnerable installations.
This rule identifies instances of OpenVPN-related executables (openvpn.exe, openvpnserv.exe, tapctl.exe) running on endpoints where the version is below the threshold considered patched (2.7.7). It uses file metadata and certificate information to verify the binary version and flag legacy, potentially vulnerable installations.
Detects a hardcoded PEM RSA public key embedded alongside JSCeal-specific compiled V8 bytecode obfuscation artifacts, used to encrypt exfiltrated data or C2 communications
This rule detects the execution of processes or network connections that impersonate 'WhatsApp' or 'Instagram' companion applications. It identifies specific file names and process command lines that mimic these applications, often associated with browser-launched or malicious payloads, and monitors for associated network traffic directed toward suspicious endpoints like herokuapp domains.
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