
Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,183 views
7,555 detections
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Detection languages
5,650
1,006
394
169
98
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2,356
1,807
1,233
1,013
924
Platforms
4,191
1,622
1,250
676
676
Products / Services
2,820
1,003
991
720
485
MITRE Techniques
2,087
1,520
1,413
1,070
536
CVEs
38
33
24
22
21
IDS Classtypes
477
179
104
79
52
IDS Protocols
554
156
144
86
18
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.
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