Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,057 detections
Filters
Last updated
All Time
Detection languages
15,357
13,598
2,797
1,803
1,721
Contributors
7,678
5,999
5,315
4,504
4,191
Categories
18,110
9,757
3,852
3,759
3,713
Platforms
40,057
7,331
6,542
3,907
3,664
Products / Services
10,439
9,678
6,723
1,887
1,879
MITRE Techniques
13,737
13,117
8,066
5,949
4,414
CVEs
49
45
30
30
29
IDS Classtypes
214
56
43
23
19
IDS Protocols
183
172
20
16
8
Detects the execution of BloodHound/SharpHound reconnaissance tools and the presence of their generated output files (ZIP or JSON format) on a host. This rule monitors both the process creation events associated with the tool's execution and file creation events indicative of data staging or collection output.
Detects the execution of BloodHound/SharpHound reconnaissance tools and the presence of their generated output files (ZIP or JSON format) on a host. This rule monitors both the process creation events associated with the tool's execution and file creation events indicative of data staging or collection output.
Detects anomalous child processes spawned by a Chrome renderer process. This behavior is often indicative of exploitation attempts, such as the BlueMoon exploit kit leveraging CVE-2026-85046, where a compromised renderer attempts to escape the sandbox or execute arbitrary code in the host process.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
Detects suspicious use of Windows API functions (SetWindowsHookEx) often associated with keylogging, correlated with the presence of temporary staging files in common directories (e.g., Temp, AppData). The rule excludes known legitimate applications that frequently utilize system hooks.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
Detects periodic outbound network connections (beaconing) to rare remote destinations initiated by processes running from non-standard or user-writable locations. The rule calculates the interval coefficient of variation (CV) between successful connections to identify regular, consistent patterns indicative of command and control communication while excluding known legitimate update and service traffic.
Detects periodic outbound network connections (beaconing) to rare remote destinations initiated by processes running from non-standard or user-writable locations. The rule calculates the interval coefficient of variation (CV) between successful connections to identify regular, consistent patterns indicative of command and control communication while excluding known legitimate update and service traffic.
Detects periodic outbound network connections (beaconing) to rare remote destinations initiated by processes running from non-standard or user-writable locations. The rule calculates the interval coefficient of variation (CV) between successful connections to identify regular, consistent patterns indicative of command and control communication while excluding known legitimate update and service traffic.
This rule detects potential execution of malicious files from removable media (e.g., USB drives). It monitors for a sequence of events where a removable drive is mounted, a file is subsequently created on that drive, and then that same file is executed within a short time window.
Detects uncommon or suspicious child processes spawning from a WSL process. This could indicate an attempt to evade parent/child relationship detections or persistence attempts via cron using WSL.
Detects uncommon or suspicious child processes spawning from a WSL process. This could indicate an attempt to evade parent/child relationship detections or persistence attempts via cron using WSL.
Detects uncommon or suspicious child processes spawning from a WSL process. This could indicate an attempt to evade parent/child relationship detections or persistence attempts via cron using WSL.
Detects uncommon or suspicious child processes spawning from a WSL process. This could indicate an attempt to evade parent/child relationship detections or persistence attempts via cron using WSL.
Detects instances where node, npm, or bun package installation processes modify the Claude AI settings.json file. This could indicate potential supply chain compromise or unauthorized configuration changes to the Claude application environment via malicious packages or scripts.
Detects browser processes (Chrome or Firefox) originating from specific file paths or extension IDs attempting to perform OAuth validation against the Twitch API. This behavior is indicative of potentially malicious browser extensions or extensions masquerading as legitimate tools attempting to handle user authentication tokens.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
Matches known Phantom Stealer MaaS infostealer sample hashes
Detects outbound network connections to 'registry.npmjs.org' originating from 'node' or 'bun' processes. This behavior may indicate an attempt to exfiltrate data, interact with malicious packages, or perform credential harvesting via npm tokens during execution.
Page 388 of 1908


