Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
This rule detects a sequence of suspicious activities involving files placed in 'ProgramData\Firefox'. It identifies the creation or modification of a non-standard executable within this folder, followed by its execution by a trusted process (or itself), and the subsequent creation of a Registry run key for persistence. This pattern is often used by adversaries for persistence mechanism implementation using masqueraded file names.
This rule detects the creation or modification of a file named 'ClipBoard.txt' within the directory 'AppData\Roaming\ConfigsEx\', as well as the creation of the 'ConfigsEx' directory using command-line tools. This behavior is indicative of an adversary staging sensitive information, such as harvested clipboard data, for potential exfiltration.
Detects instances where browser processes or related credential files are accessed or targeted by process termination (e.g., taskkill.exe) followed by attempts to access sensitive files like Login Data, logins.json, or key4.db. This pattern is indicative of credential theft from web browsers.
Detects instances where browser processes or related credential files are accessed or targeted by process termination (e.g., taskkill.exe) followed by attempts to access sensitive files like Login Data, logins.json, or key4.db. This pattern is indicative of credential theft from web browsers.
Detects the execution of known development, scripting, and administrative tools (e.g., Python, Node.js, GCC, Docker) from non-standard or unauthorized file paths. The rule leverages allowlists for process names, publishers, and trusted installation directories to identify potentially unauthorized usage of powerful tooling often abused by attackers for post-exploitation activities.
Detects the creation and immediate deletion of a GitHub OAuth token that is used to clone or fetch a large volume of private repositories within a short lifespan. This behavior is indicative of an adversary using a temporary, ephemeral token to perform rapid data exfiltration or mass reconnaissance on source code repositories.
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
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