Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the creation of scheduled tasks using the 'schtasks.exe' utility where the command line contains suspicious patterns such as execution of common scripting engines (PowerShell, wscript, cscript), use of common staging directories (temp, appdata, programdata), or naming conventions that mimic legitimate Windows system tasks.
Detects the execution of the 'sckit' Go-based implant when spawned by Node.js or Python processes using the command-line arguments 'stage0 --config64'. This pattern is associated with malicious npm and PyPI supply chain packages (memtensor) designed to harvest credentials and establish persistence.
Detects the abuse of Windows Management Instrumentation (WMI) to execute processes via wmic.exe or WmiPrvSE.exe, often combined with obfuscated command-line arguments such as encoded PowerShell or CMD commands.
Detects user-initiated execution of scripts or binaries directly from the root of a drive letter. This pattern is commonly associated with phishing campaigns delivering malicious payloads via mounted ISO or IMG files, which allow attackers to bypass mark-of-the-web or macro security controls.
Detects user-initiated execution of scripts or binaries directly from the root of a drive letter. This pattern is commonly associated with phishing campaigns delivering malicious payloads via mounted ISO or IMG files, which allow attackers to bypass mark-of-the-web or macro security controls.
Detects execution of PowerShell or Python scripts characterized by common patterns found in AI-generated code, including specific obfuscation techniques (base64, string manipulation), boilerplate error handling structures, verbose comments, and generic variable naming conventions. High scores indicate a higher probability of automated or obfuscated script execution.
Detects a sequence of potentially malicious local command execution (via PowerShell, cmd, or mshta) that mirrors the 'ClickFix' social engineering pattern, followed by an OAuth application consent grant or device-code authorization by the same user within a short timeframe. This behavior is indicative of an adversary attempting to bypass MFA by tricking a user into authorizing a malicious application after establishing local execution on their endpoint.
This rule detects potentially malicious activity involving the execution of Node.js scripts initiated by system script proxies (wscript, cscript, msiexec) within specific paths, often associated with subsequent installation of VBScript agents or direct network communication with a known command-and-control IP address.
Detects the 'ClickFix' attack pattern where explorer.exe (typically via a Run dialog interaction) spawns a command shell (PowerShell, cmd, or mshta) using obfuscated flags combined with execution indicators (download/execution), which then subsequently spawns a secondary child process. This chain provides high-confidence evidence of malicious intent compared to isolated process executions.
Detects the 'ClickFix' attack pattern where explorer.exe (typically via a Run dialog interaction) spawns a command shell (PowerShell, cmd, or mshta) using obfuscated flags combined with execution indicators (download/execution), which then subsequently spawns a secondary child process. This chain provides high-confidence evidence of malicious intent compared to isolated process executions.
Detects attempts to bypass the Antimalware Scan Interface (AMSI) in PowerShell by monitoring script block logs for specific patterns used to disable or manipulate memory scanning mechanisms, a common precursor to executing malicious, memory-resident payloads.
Detects the execution of known Windows system binaries (rundll32, regsvr32, mshta, msiexec) with command-line arguments indicative of proxy execution or script-based attacks. The rule identifies patterns commonly associated with downloading or executing remote payloads, including the use of URLs, JavaScript, VBScript, or specific DLL exports designed to execute code indirectly or from a remote source.
Detects a sequence of events on a single device involving a remote MSI installation followed by PowerShell-based process elevation and administrative checks using fltmc.exe. This pattern is indicative of an attacker attempting to deploy malicious packages remotely and escalate privileges within the environment.
Detects a sequence of events on a single device involving a remote MSI installation followed by PowerShell-based process elevation and administrative checks using fltmc.exe. This pattern is indicative of an attacker attempting to deploy malicious packages remotely and escalate privileges within the environment.
Detects a sequence of events on a single device involving a remote MSI installation followed by PowerShell-based process elevation and administrative checks using fltmc.exe. This pattern is indicative of an attacker attempting to deploy malicious packages remotely and escalate privileges within the environment.
Detects a sequence of events on a single device involving a remote MSI installation followed by PowerShell-based process elevation and administrative checks using fltmc.exe. This pattern is indicative of an attacker attempting to deploy malicious packages remotely and escalate privileges within the environment.
This rule detects potentially malicious command execution initiated by web browsers (Chrome, Edge, Firefox, Safari, Opera). It identifies scenarios where browsers spawn PowerShell on Windows with encoded command arguments or spawn shells (zsh, bash, sh) on macOS while piping commands retrieved via curl or wget, which is a common pattern for dropper and fileless malware delivery.
This rule detects potential malicious activity by correlating device events against a known set of malicious file hashes, domains, and URLs. It identifies files with known malicious hashes, network connections to known malicious domains, and command-line processes attempting to download files from known malicious URLs using common living-off-the-land tools like PowerShell, curl, or wget.
This rule detects potential malicious activity by correlating device events against a known set of malicious file hashes, domains, and URLs. It identifies files with known malicious hashes, network connections to known malicious domains, and command-line processes attempting to download files from known malicious URLs using common living-off-the-land tools like PowerShell, curl, or wget.
Detects the creation of WMI event subscriptions via wmic.exe, PowerShell, or the compilation of MOF files. These techniques are commonly used by adversaries to establish persistence or execute malicious payloads by binding event filters to event consumers.
This rule detects specific JavaScript helper functions and state machine constants commonly used in 'ClickFix' phishing campaigns (e.g., Exvicy and ErrTraffic). These scripts typically prompt users to copy and paste malicious code snippets, often disguised as error fixes or CAPTCHA resolution, to facilitate initial access.
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