Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a multi-stage evasion sequence where a process first queries the system for virtualization or sandbox artifacts (e.g., VM tools, system information), followed by an intentional sleep or delay to bypass sandbox analysis, and concluding with subsequent process activity. This pattern is characteristic of malware attempting to detect and evade automated analysis environments.
Detects a multi-stage evasion sequence where a process first queries the system for virtualization or sandbox artifacts (e.g., VM tools, system information), followed by an intentional sleep or delay to bypass sandbox analysis, and concluding with subsequent process activity. This pattern is characteristic of malware attempting to detect and evade automated analysis environments.
Detects potential 'ClickFix' activity where a browser or file explorer process initiates a shell (e.g., cmd, powershell, osascript) with command arguments indicative of remote script execution, obfuscated commands, or web-based payload downloading. This pattern matches known social engineering tactics that entice users to copy-paste malicious code into a system shell.
Detects host-based reconnaissance activity involving system, network, and security software enumeration using standard administrative tools (e.g., PowerShell, WMI, netsh) that is followed by an outbound network connection to a known or suspicious implant check-in endpoint within a 30-minute window.
This rule detects potential malicious activity where the binaries 'COTFileReadApp.exe' or 'DeElevate64.exe' initiate child processes or are themselves parent processes to suspicious binaries such as 'rundll32.exe', 'regsvr32.exe', 'msiexec.exe', 'powershell.exe', or script hosts ('wscript.exe', 'cscript.exe'). This pattern is indicative of a RAT (Remote Access Trojan) or sideloading chain dropping and executing follow-on payloads.
Detects the FileFix (ClickFix) social engineering technique, where an attacker tricks a user into pasting malicious command lines into the Windows File Explorer address bar. The rule correlates a process execution (PowerShell, Cmd, Mshta) originating from explorer.exe with recent registry writes to shell history artifacts (RunMRU, TypedPaths, or ShellBags) within a 120-second window, identifying the characteristic 'paste-and-execute' behavior.
Detects a suspicious pattern consistent with rapid handoff from an initial access broker to an operator: a user account is added to a privileged group (e.g., Domain Admins) followed within 5 minutes by successful logins to 3 or more distinct hosts. This behavior indicates immediate privilege escalation followed by rapid lateral movement.
Detects malicious AI assistant links delivered via spearphishing emails that contain pre-populated prompt injection query parameters. The rule correlates the clicking of a high-signal URL (containing parameters like prompt, system, or lengthy search queries with malicious keywords) originating from an email with a subsequent active session to the same AI service within 5 minutes, confirming potential weaponized AI assistant session manipulation. Covers T1566.002, T1204.001
Detects a suspected automated exploitation sequence where a web storefront file (e.g., .phtml, .js, .php) is modified to inject malicious script code (skimmer), followed by an unauthorized SQL DELETE operation on sensitive database tables containing payment, customer, or order information, originating from the same host within a 6-hour window.
This rule monitors for suspicious interactions with Android device drivers via the 'getevent' utility, often used to capture raw input, combined with unusual file access patterns involving 'locateValues.json' and potential data exfiltration attempts to specific internal API endpoints.
Detects malicious persistence activity on Android devices originating from an ADB or shell context (UID 2000). The rule monitors for a sequential pattern: the silent re-installation of the 'RatHat' APK package via 'pm install' commands, followed by the modification of system security settings to re-grant Accessibility Service permissions.
Detects malicious persistence activity on Android devices originating from an ADB or shell context (UID 2000). The rule monitors for a sequential pattern: the silent re-installation of the 'RatHat' APK package via 'pm install' commands, followed by the modification of system security settings to re-grant Accessibility Service permissions.
This rule detects potentially malicious activity on Android devices where the 'shell' user is performing silent application installations using 'pm install' and subsequently granting accessibility permissions via 'settings put secure'. This sequence is indicative of malware attempting to gain elevated control over the device by bypassing user-interactive prompts for installation and permission authorization.
Detects the execution of msiexec.exe with flags indicating a silent installation (/passive) where the package source is a remote URL (http:// or https://). This behavior is commonly associated with ClickFix campaigns and other malware delivery methods that attempt to trick users into installing malicious Windows Installer packages.
Detects execution of msiexec.exe via the Windows Run dialog (launched by explorer.exe) that utilizes a remote URL for an MSI installer alongside suspicious property flags ('ORG_NOTE', 'passive'). This pattern is associated with 'ClickFix' social engineering campaigns where users are instructed to copy-paste commands to 'fix' a display issue, leading to the execution of malicious installers.
Detects a suspicious PowerShell execution chain originating from explorer.exe, typically associated with ClickFix social engineering campaigns. The command uses 'Invoke-RestMethod' (irm) to download content, saves it to the user's TEMP directory, and immediately executes the downloaded script.
Detects the use of Python or Pip utilities as parent processes to spawn potentially malicious binaries such as cmd.exe, powershell.exe, curl.exe, or rundll32.exe. This activity is often associated with the execution of downloaded payloads or shell commands directly through package manager workflows.
This rule detects suspicious process lineage where Python (python.exe or pip.exe) is initiating the execution of Windows command shell (cmd.exe) or Windows calculator (calc.exe). This pattern is often associated with exploitation of malicious Python site-hook files or similar techniques where a Python environment is leveraged to spawn secondary processes, potentially leading to unauthorized command execution.
This rule detects potentially malicious command execution patterns where a Python interpreter (python.exe) is invoked with the '-m' flag to execute a module, which subsequently spawns a command shell (cmd.exe) as a child process. This behavior is often associated with adversary attempts to leverage Python's capabilities for system interaction, payload execution, or lateral movement, as documented in various campaigns that abuse Python as a living-off-the-land binary.
Detects attempts by malicious software to inhibit system recovery by deleting Volume Shadow Copies. The rule monitors for the execution of vssadmin.exe with deletion flags or wmic.exe with shadowcopy deletion commands combined with non-interactive flags, which are common indicators of ransomware preparation.
Detects attempts by malicious software to inhibit system recovery by deleting Volume Shadow Copies. The rule monitors for the execution of vssadmin.exe with deletion flags or wmic.exe with shadowcopy deletion commands combined with non-interactive flags, which are common indicators of ransomware preparation.
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