SigmaHQ Detections
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6,800 detections
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Detects sign-in attempts with properties (e.g., device, location, browser) that are unusual or unfamiliar compared to a user's past sign-in history. This rule leverages Azure AD Identity Protection's risk detection capabilities to identify anomalous sign-ins.
Detects when a Google Cloud SQL database instance or its user accounts are created, deleted, or modified. This can indicate malicious activity such as data destruction, unauthorized access attempts, or attempts to disrupt services.
Detects when Microsoft Cloud App Security reports user activity originating from an IP address identified as an anonymous proxy. This indicates potential attempts to obscure the true source of network connections, which could be used for malicious purposes such as bypassing security controls or maintaining anonymity during an attack.
Detects attempts to collect data stored in the clipboard from users using the 'xclip' tool. This rule specifically looks for the execution of 'xclip' with arguments indicating clipboard selection and output. It is highly recommended for server environments due to the frequent legitimate use of clipboard utilities on user workstations.
Detects exploitation attempts targeting CVE-2018-15473 in OpenSSH, specifically looking for a characteristic error message generated during the pre-authentication phase when an attacker attempts to enumerate valid usernames.
This rule detects the execution of common Linux commands used for system information discovery. Specifically, it looks for processes ending with '/uname', '/hostname', '/uptime', '/lspci', '/dmidecode', '/lscpu', and '/lsmod'. These commands are frequently used by adversaries to gather details about the operating system, hardware, and loaded modules on a compromised system.
This rule detects the creation of a property list (.plist) file within the `/Library/StartupItems/` or `/System/Library/StartupItems` directories on macOS. These directories are associated with a deprecated persistence mechanism where files placed within them are automatically executed at boot initialization. Adversaries can leverage this to establish persistence on a compromised system by ensuring their malicious code runs every time the system starts.
Detects attempts to extract credentials from files using the 'grep' command to search for the keyword 'password' or by executing the 'laZagne' credential dumping tool. This rule is specifically tailored for macOS environments.
Detects suspicious child processes spawning from Microsoft Office suite applications (Word, Excel, PowerPoint, OneNote) on macOS. This behavior often indicates malicious macro execution attempting to leverage scripting interpreters or command-line utilities for further compromise.
This rule detects the execution of 'osacompile' and 'curl' in the same command line. This combination is indicative of in-memory downloading and compiling of applets, a technique observed in the XCSSET malware. 'curl' is used to download content, and 'osacompile' is used to compile AppleScript or JavaScript for Automation (JXA) scripts, which can then be executed.
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