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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,457 downloads7,055 copies47 likes38,405 views

11,679 detections

Detects the creation of suspicious scheduled tasks associated with TrymeLocker ransomware. The rule monitors for tasks named 'RageGuard' or 'win_guard', as well as tasks registered with high privileges using non-standard file paths such as AppData, Temp, or ProgramData, triggered by system logon or startup.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects the creation of local backdoor accounts with the 'rage_master_' username prefix and their subsequent addition to the local Administrators group using 'net.exe' or 'net1.exe', which is a technique characteristic of the TrymeLocker malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects the SNOWLIGHT dropper (UNC5221) masquerading as the Windows Update service (wusvc.exe). It monitors for the creation of a Windows service named 'wusvc' or 'Windows Update Service' located outside of standard system directories, and the execution of 'wusvc.exe' from user-writable directories like AppData, Temp, or Downloads, indicating potential malicious persistence or dropper activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects suspicious self-deletion patterns associated with TrymeLocker malware. This includes processes spawning cmd.exe to execute file deletion commands (cmd /c del) or the use of batch scripts to remove the originating process executable and subsequently delete themselves.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects keylogging behavior associated with the TrymeLocker malware. The rule monitors for processes executing from non-standard, potentially writable directories (such as Temp, AppData, or ProgramData) that load user32.dll. This activity is indicative of an attempt to install a global Windows hook (SetWindowsHookEx) to intercept keystrokes (WH_KEYBOARD_LL).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
201
Detects activity associated with the SNOWLIGHT malware, specifically the dropping of a malicious executable named 'wusvc.exe' or 'WindowsUpdate' into user-writable directories (Downloads or AppData), followed by the creation of an automatically starting Windows service that executes the dropped file. This rule correlates process creation/service registration events with SCM event 7045 entries.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects EDR evasion techniques associated with the SNOWLIGHT dropper used by UNC5221. It identifies two specific behaviors: the manual loading of ntdll.dll from non-standard Windows directories, which suggests an attempt to bypass EDR hooks through manual mapping and direct syscalls, and the loading of amsi.dll by processes running from user-writable directories (e.g., Temp, Downloads), indicative of an in-memory AMSI bypass.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects sandbox evasion behavior where a process enumerates virtual machine-specific registry keys (e.g., VirtualBox, VMware) or attempts to access known virtualization service processes. This pattern is characteristic of malware attempting to identify if it is running in an analysis environment to alter its behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects the SNOWLIGHT dropper (associated with UNC5221) attempting to evade analysis. The rule monitors for the loading of 'verifier.dll' by the suspicious 'wusvc.exe' process (a common disguise for this malware) as a mechanism to perform debugger checks, alongside the enumeration of various security and analysis tools (e.g., debuggers, packet sniffers, and virtualization tools).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects anomalous outbound TCP network connections on port 8084 originating from non-browser processes to known CDN providers (Akamai, Microsoft). This behavior is characteristic of VSHELL RAT C2 beaconing using domain blending techniques to mask communications within expected network noise.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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