Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
The following analytic detects an unusual process execution pattern where a process running from C:\Windows\SysWOW64\ attempts to execute a binary from C:\Windows\System32\. In a typical Windows environment, 32-bit processes under SysWOW64 should primarily interact with 32-bit binaries within the same directory. However, an execution flow where a 32-bit process spawns a 64-bit binary from System32 can indicate potential process injection, privilege escalation, evasion techniques, or unauthorized execution hijacking.
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.
This rule detects the Microsoft Edge browser (msedge.exe) being spawned by common productivity applications like Adobe Acrobat or Microsoft Outlook using the '--single-argument' command-line flag. This pattern is frequently used to force a specific browser window to open a malicious URL, which can be an indicator of a malicious document or phishing email attempting to direct the user to a credential harvesting or malware delivery site.
This rule monitors network connections for specific domains and URL patterns associated with the 'FlowerStorm' campaign. It flags potential phishing attempts by identifying low-prevalence connections to known malicious infrastructure from browser or PDF reader processes.
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.
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.
This rule detects potentially malicious behavior associated with Microsoft Office applications, such as Word, initiating suspicious WebDAV network connections, dropping executable or sensitive files, or spawning known LOLBAS processes (rundll32, explorer, regsvr32) from suspicious directories like Temp or WebDAV paths. It also includes a blocklist for known malicious file hashes associated with these patterns.
Detects offreg.dll (Windows Offline Registry Library) being loaded by a process running outside the standard System32/SysWOW64 directories and that is not a known Windows registry-management host process, excluding Malwarebytes' own bundled private copy of the DLL. PrettyPrague uses this library to read the SAM/LSA hive and derive boot-key material outside normal registry API paths. Scoped to the loading process's directory and identity rather than any specific PoC binary name.
Detects the execution of common system administration tools (cmd, powershell, net, nltest, etc.) used to perform environment discovery or credential enumeration, specifically when targeting Domain Controllers, Active Directory objects, database credentials, or sensitive configuration files.
This rule detects unauthorized modifications to browser search provider settings in the Windows Registry, targeting keys associated with Chrome and Microsoft Edge search configuration. This activity is often indicative of browser hijacking or search engine redirection campaigns, such as the NinjaMare malware.
Detects execution patterns associated with 'NinjaMare' style malware, where a process masquerading as a browser (e.g., tenbrowser.exe, fireflybrowser.exe) performs an external IP geolocation lookup followed by suspicious registry or file modifications indicative of browser hijacking or extension installation within a five-minute window.
Detects Evil-WinRM / WinRM-fs usage or wsmprovhost.exe-spawned PowerShell tied specifically to bird-agent backdoor artifacts (cplsupport, wtass, config.toml) or encoded/download-cradle command patterns, rather than any WinRM session, reducing noise from routine remote administration.
This rule detects potentially malicious activity originating from Microsoft Word (WINWORD.EXE). It monitors for two specific patterns: the creation of script files (.bat, .vbs, .cmd) with GUID-based filenames in non-temp directories, and the creation or execution of files matching known malicious hashes associated with the Hookedge malware family.
This rule detects potentially malicious activity originating from Microsoft Word (WINWORD.EXE). It monitors for two specific patterns: the creation of script files (.bat, .vbs, .cmd) with GUID-based filenames in non-temp directories, and the creation or execution of files matching known malicious hashes associated with the Hookedge malware family.
Detects the execution of known malicious files associated with the BlueDelta threat group, specifically the HOOKEDGE and HEADLACE malware families, using a curated list of SHA-256 file hashes. Additionally, the rule monitors for the execution of scripts with GUID-based filenames, a common tactic for temporal or staged file deployment.
Matches known HOOKEDGE malware samples attributed to BlueDelta (APT28) via SHA256 hash comparison
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.
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