Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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PA Threat Prevention for potential exploitation of PHP2Shell vulnerabilities CVE-2026-109618 and CVE-2026-109619.
Detects post-exploitation behavior where a Node.js process spawns a shell, interpreter, or utility (such as sh, bash, nc, curl, python), which may indicate Remote Code Execution (RCE) via vulnerabilities like CVE-2026-111497 in the Node.js Brotli decoder.
Detects observable consequences of remote code execution on a GitLab server (CVE-2026-97229), specifically where GitLab application services (such as Puma, Sidekiq, Ruby, GitLab Rails, or GitLab Workhorse) spawn a shell or interpreter with suspicious command-line parameters or external network utilities.
Detects an Xoscar or Xinference Python actor pool process spawning a Unix shell child process with suspicious command-line flags (such as reverse shell indicators, downloads, or base64 decoding), potentially indicative of cloudpickle deserialization remote code execution (CVE-2026-49950).
This rule identifies installations of TeamViewer software that are vulnerable to specific CVEs (CVE-2026-19743, CVE-2026-92368, CVE-2026-92369, CVE-2026-92370, CVE-2026-92371) by analyzing the 'DeviceTvmSoftwareInventory' dataset. It checks for versioning patterns against known vulnerable build numbers across Windows, Linux, and macOS platforms to pinpoint systems requiring patching.
This rule detects potentially malformed or truncated DTLS records on NetScaler appliances, specifically on port 443. The rule looks for packets with a specific record length configuration that may indicate a buffer overflow or other exploitation attempt targeting CVE-2026-88772. The detection logic relies on analyzing the DTLS handshake sequence and packet sizing, and the rule authors recommend correlating these events with SSL_HANDSHAKE_FAILURE (DTLSv1.0, Handshake failure-Internal Error) and appliance crash log entries to confirm potential exploitation.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
Detects suspicious PowerShell process creation patterns often associated with malicious activity. The rule identifies PowerShell execution invoked by common parent processes (like Office applications or scripting engines) or using highly suspicious command-line arguments such as encoded commands, hidden windows, or common download and execution patterns (e.g., IEX, WebClient).
This rule identifies installations of TeamViewer software that are vulnerable to specific CVEs (CVE-2026-19743, CVE-2026-92368, CVE-2026-92369, CVE-2026-92370, CVE-2026-92371) by analyzing the 'DeviceTvmSoftwareInventory' dataset. It checks for versioning patterns against known vulnerable build numbers across Windows, Linux, and macOS platforms to pinpoint systems requiring patching.
Detects potential local privilege escalation via Windows ALPC (Advanced Local Procedure Call) heap-based buffer overflow by identifying a non-SYSTEM Chrome process tree spawning child processes with SYSTEM privileges. The rule specifically monitors for suspicious child binaries or paths characteristic of exploit payloads while excluding legitimate Chrome update and crash handler processes.
This rule identifies installations of TeamViewer software that are vulnerable to specific CVEs (CVE-2026-19743, CVE-2026-92368, CVE-2026-92369, CVE-2026-92370, CVE-2026-92371) by analyzing the 'DeviceTvmSoftwareInventory' dataset. It checks for versioning patterns against known vulnerable build numbers across Windows, Linux, and macOS platforms to pinpoint systems requiring patching.
This rule identifies installations of TeamViewer software that are vulnerable to specific CVEs (CVE-2026-19743, CVE-2026-92368, CVE-2026-92369, CVE-2026-92370, CVE-2026-92371) by analyzing the 'DeviceTvmSoftwareInventory' dataset. It checks for versioning patterns against known vulnerable build numbers across Windows, Linux, and macOS platforms to pinpoint systems requiring patching.
Detects the loading of WPF/XAML-related assemblies (PresentationFramework.dll, System.Xaml.dll, or PresentationCore.dll) by the SharePoint web server process (w3wp.exe). This behavior is highly irregular for typical SharePoint web worker processes and may indicate an exploitation attempt targeting deserialization vulnerabilities leading to remote code execution.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects attempts to exploit the Microsoft Support Diagnostic Tool (MSDT) vulnerability CVE-2022-30190, known as 'Follina'. The rules monitor for malicious HTTP traffic and payloads that leverage the 'ms-msdt' URI scheme to execute arbitrary commands, often delivered via weaponized documents or external references to remote malicious HTML files.
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
Detects suspicious PowerShell process creation patterns often associated with malicious activity. The rule identifies PowerShell execution invoked by common parent processes (like Office applications or scripting engines) or using highly suspicious command-line arguments such as encoded commands, hidden windows, or common download and execution patterns (e.g., IEX, WebClient).
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