avatar

Shadows VMB

@Vemorian_Mort
Trusted contributorCompletionist
1 follower37 downloads923 copies20 likes2,913 views

121 detections

Detects two suspicious Kerberos activity patterns indicative of potential credential theft or reconnaissance: 1) A single account requesting tickets for multiple services or across multiple hosts in a short duration, which may indicate automated credential harvesting such as Kerberoasting; 2) The use of RC4 encryption (0x17) for Kerberos tickets, which is an older, weaker protocol and may indicate a forced downgrade attack to facilitate offline password cracking.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
2034
Detects the installation of Parallels Desktop on macOS endpoints. This rule identifies when the Parallels Desktop application is installed or updated, providing visibility into the deployment of virtualization software within the environment.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
1011
This rule identifies email patterns that involve either the presence of email attachments (specifically .eml or .msg files) or common email forwarding/reply indicators (e.g., 'FW:', 'FWD:', 'RE:'). By aggregating emails based on the sender and subject, it provides a summary of communication volume, which can be used to identify anomalous email activity or potential phishing staging/thread hijacking.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
5011
Detects instances where critical system processes (such as svchost.exe, lsass.exe, or w3wp.exe) spawn known command-line interpreters or script execution utilities (e.g., cmd.exe, powershell.exe, certutil.exe) which then initiate outbound network connections to common ports (445, 3389, 135, 5985, 5986, 1433, 80, 443) that are external to the local network. This behavior is often associated with lateral movement, command and control (C2) communication, or reconnaissance.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
8014
This rule monitors process creation events for common command-line obfuscation patterns used to evade detection. It flags suspicious usage of encoding (e.g., base64), character manipulation (e.g., caret char insertion, case randomization), and scripting-related concatenation or dynamic reassembly techniques within cmd, powershell, or script host commands.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
7015
This rule detects the execution of known Remote Monitoring and Management (RMM) tools across the environment. RMM tools are frequently used by IT administrators for legitimate support, but are also commonly abused by threat actors to establish persistence and gain remote access to systems. The rule tracks the first instance of these processes appearing on any device within a 30-day window.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
14014
Monitors network connections initiated by the Logitech Options Plus agent process (logioptionsplus_agent.exe) on a specified host. This rule facilitates tracking of outbound communications generated by this background service.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
006
This rule detects potential lateral movement by monitoring successful network logons using NTLM authentication across multiple distinct destination hosts within a short time window. It calculates the frequency of connections to unique hosts to identify anomalous, rapid traversal through a network by a single user account, excluding known system accounts.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
608
This rule detects potentially malicious system configuration changes, specifically the suspension or disabling of BitLocker drive encryption via 'manage-bde.exe' and the weakening of SChannel security protocols or ciphers by modifying registry keys. These activities are indicative of an attacker attempting to bypass disk encryption or lower the security posture of network communication.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
708
Detects anomalous data transfer patterns characteristic of exfiltration by identifying a high frequency of relatively small, uniform data chunks sent to an external destination. By aggregating these chunks, the rule identifies cumulative data transfers that exceed the defined organizational threshold for a single connection, potentially bypassing security controls that monitor only individual file transfer sizes.
avatar
Shadows VMB@Vemorian_Mort
avatar
Detections.ai Community
1 month ago
305
Page 4 of 13