Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,793 detections
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Detects the execution or presence of files, processes, or paths associated with the 'SnowKiller' malware or tool, as identified by keyword matching in process event logs.
Detects the delivery of .mobileconfig files or related configuration profile types (e.g., .plist, .xml) via email. These profiles are used on macOS and iOS devices to modify system settings, such as mail, calendar, or contact synchronization, and can be used to install malicious root certificates to enable Man-in-the-Middle (MITM) attacks. This rule accounts for direct attachments as well as those concealed within zip archives.
This rule monitors for the execution or presence of specific file names and SHA256 hashes known to be associated with malicious activity. It queries both process creation and file events to identify these indicators of compromise (IOCs).
This rule monitors for the execution or presence of specific file names and SHA256 hashes known to be associated with malicious activity. It queries both process creation and file events to identify these indicators of compromise (IOCs).
This rule monitors for the execution or presence of specific file names and SHA256 hashes known to be associated with malicious activity. It queries both process creation and file events to identify these indicators of compromise (IOCs).
This rule detects potential lateral movement activity by identifying executable or script files being written to administrative shares (C$ or ADMIN$) followed by the execution of a file with the same name on the destination device within 15 minutes. It includes logic to filter out known deployment/patch management service accounts and file names to reduce noise.
This rule detects the presence of files or process execution events matching a known set of SHA256 hashes associated with the BlueMoon malware family. The detection covers both file system events and process creation events.
This rule detects the presence of files or process execution events matching a known set of SHA256 hashes associated with the BlueMoon malware family. The detection covers both file system events and process creation events.
Detects instances where the GlobalProtect VPN client executable spawns a Windows command shell (cmd.exe). This behavior is highly suspicious as a legitimate VPN client typically does not launch interactive shells, and this pattern has been associated with the execution of malicious payloads such as fake MSI installers.
Matches known RedTail malware payloads and staging scripts by exact SHA-256 hash equality
Matches known RedTail malware payloads and staging scripts by exact SHA-256 hash equality
Detects the execution of 'SGMyInput.exe' with command-line arguments that include a 'skincenter' parameter and a custom URL parameter. This pattern may be indicative of specific application behavior or potential misuse involving external URL triggers.
Detects the download of ZIP files with filenames matching known phishing patterns associated with NFe (Nota Fiscal Eletrônica) campaigns, correlated with access to specific malicious or suspicious download URLs within a 15-minute window.
Detects the Silver Fox HVNC malware dropper initiating browser instances via the command line to access known malicious C2 domains or infrastructure. The rule specifically monitors for known malicious binaries (UpdateAssistant.exe, AppUpdateHelper.exe, SysMaintenance.exe) launching browsers with suspicious command-line parameters associated with this campaign.
This rule detects potentially malicious keylogging activity by identifying binaries named UpdateAssistant.exe or AppUpdateHelper.exe that import keylogging-related APIs (GetAsyncKeyState/GetKeyboardState). To minimize false positives, the rule correlates these findings with suspicious metadata such as unsigned binaries, untrusted signers, or execution from non-standard directories like AppData subfolders or Temp.
This rule detects potentially malicious keylogging activity by identifying binaries named UpdateAssistant.exe or AppUpdateHelper.exe that import keylogging-related APIs (GetAsyncKeyState/GetKeyboardState). To minimize false positives, the rule correlates these findings with suspicious metadata such as unsigned binaries, untrusted signers, or execution from non-standard directories like AppData subfolders or Temp.
Detects the presence of known artifacts associated with the GreenSection proof-of-concept exploit, including the source code file 'GreenSection.cpp', a specific driver crash dump 'nvoglv64.dmp', and a associated unique GUID. These files are indicators that an actor has staged exploit materials on the system.
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 detects potential spearphishing activity by correlating email attachments containing specific 'Request for Quotation' filenames with subsequent suspicious file creation events on endpoints. It specifically looks for matching attachments (MSG or PDF) from email logs and tracks if similar file patterns appear in Microsoft Outlook content or temporary folders on host devices.
Detects instances where Adobe Acrobat or Adobe Reader processes initiate suspicious child processes, such as common interpreters (PowerShell, CMD, WScript, CScript) or binaries (rundll32, browser executables) often used in malicious document-based attacks to achieve initial code execution.
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