Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where browser processes (chrome.exe or comet.exe) create multiple screenshot-related files in quick succession without apparent user interaction, a behavior pattern observed in the BragJack attack chain associated with hijacked browser AI agents.
This rule detects modifications or creation of the SSH 'authorized_keys' file, often used to establish unauthorized persistent access via SSH key-based authentication. It monitors both file system changes and command-line execution patterns involving SSH key injection commands (e.g., echo, cat, redirection) while filtering out known management agent activity.
Detects SSH persistence planted during the Red Heron campaign: authorized_keys file writes under a .ssh folder, correlated with process command lines referencing authorized_keys and the operator's observed key comment naming pattern (backdoor / root-shell).
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
Detects instances where processes other than the primary web browsers (Chrome, Brave, Firefox) create, rename, or modify sensitive browser data files like 'Cookies' or 'Login Data'. This behavior is indicative of credential theft or data exfiltration attempts where an adversary is accessing browser-stored information.
Detects the creation of PHP files within the 'wp-content/uploads/elementor/forms/' directory of a WordPress installation. This behavior is highly suspicious as it often indicates an attempt by an attacker to deploy a web shell or other malicious script following successful exploitation of the Elementor plugin, which allows for arbitrary file uploads.
Detects anomalous activity originating from PostgreSQL processes, including the spawning of shells (cmd, powershell, sh, bash), access to sensitive files (e.g., /etc/shadow, SSH keys), and file creation outside the standard PostgreSQL data directories, which is consistent with the abuse of SQL functionality like pg_read_file() or lo_export().
Detects the creation or modification of a specific file ('libvirtlog.so.0') located in '/usr/lib/' which acts as a gating mechanism for the curlRAT malware. The detection correlates this file event with processes commonly associated with system management that are executing with command line arguments indicative of malicious activity (e.g., 'reverse', 'pty').
Detects the creation and immediate deletion of a .dylib file within the 'Library/Application Support/updated/instances/' directory on macOS. This pattern is often associated with the ProRAM technique where a shared library is written to disk, loaded via dlopen, and quickly removed to evade static file-based detection.
Detects the creation of files or folders containing suspicious command-line parameters associated with tar or Parallels toolchain injection, specifically looking for the 'use-compress-program' flag which can be abused for command injection.
Detects a suspicious sequence of events where the Parallels Desktop dispatcher service (prl_disp_service) executes a tar command with a compression program flag, followed immediately by the creation or modification of a launch agent (.plist) file in system or user launch directories. This pattern is indicative of exploitation or post-exploitation activity attempting to achieve persistence.
Detects activity where potential staging files (e.g., .dat or .dll files with specific naming patterns) are created or accessed within suspicious directories like AppData or RuntimeBroker folders, followed by the execution or loading of 'libcurl.dll'. This pattern is indicative of a loader or malware component staging its payload before using a network library to communicate with an external server.
This rule detects potential web shell creation on a Microsoft Exchange server by monitoring for suspicious child processes spawned by the IIS web server process (w3wp.exe) that correlate with the creation or modification of web-accessible script files (.aspx, .ashx, .asp, .dll) within the Exchange virtual directories (ecp, owa, aspnet_client). This pattern is consistent with common post-exploitation activities used by attackers to gain persistent access via web shells.
This rule detects potential web shell creation on a Microsoft Exchange server by monitoring for suspicious child processes spawned by the IIS web server process (w3wp.exe) that correlate with the creation or modification of web-accessible script files (.aspx, .ashx, .asp, .dll) within the Exchange virtual directories (ecp, owa, aspnet_client). This pattern is consistent with common post-exploitation activities used by attackers to gain persistent access via web shells.
Detects the execution of BloodHound/SharpHound reconnaissance tools and the presence of their generated output files (ZIP or JSON format) on a host. This rule monitors both the process creation events associated with the tool's execution and file creation events indicative of data staging or collection output.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
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