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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,599 views

11,679 detections

This rule detects two primary indicators of potentially malicious activity involving the Windows Explorer process: 1) Suspicious process parentage, where explorer.exe is spawned by a parent other than the standard winlogon.exe, userinit.exe, or explorer.exe, or where explorer.exe spawns unusual child processes like cmd.exe, powershell.exe, or others. 2) Possible Parent PID (PPID) spoofing, identified by the presence of specific API-related keywords in the command line (e.g., SeImpersonatePrivilege, CreateProcessWithToken) within process creation events.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects inbound emails that fail SPF, DKIM, or DMARC authentication checks while containing keywords related to invoices or payments in the subject line, and referencing known potentially malicious SaaS URLs (holabrief.com or loopedin.io) in the body or URL fields.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious web traffic involving a redirect chain associated with HolaBrief and LoopedIn services, which are sometimes leveraged in phishing campaigns or credential harvesting. It identifies multi-hop redirect chains and connections to known suspicious IP addresses (217.182.211.237).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potential scanning behavior (port or host sweeps) against specific, commonly targeted service ports (e.g., 443, 80, 8080) and correlates it with suspicious HTTP URI path requests associated with common exploit attempts (e.g., OWA, ECP, or management API paths).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the execution of cmd.exe spawned by processes running from suspicious directory paths such as %TEMP%\aswerf\, %APPDATA%\xwreg\, or %APPDATA%\xgdf\. These paths are commonly associated with dropper activity or malicious payloads. The rule specifically monitors for command lines containing '.pdf', suggesting the potential opening of a lure document.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
This rule detects the creation of scheduled tasks using schtasks.exe that exhibit characteristics associated with the SharkLoader malware. Specifically, it identifies tasks using suspicious names like 'OneDrive Standalone Update Task' or those referencing components dropped in %APPDATA% directories (e.g., \xwreg\, \xgdf\), or tasks masquerading as 'SystemSettings.exe' or 'KasperskyLab' directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the use of well-known tools and techniques to dump the memory of the Local Security Authority Subsystem Service (LSASS), which is a common method for harvesting Windows credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects PowerShell or pwsh processes executing commands that contain the string 'autogenstudio' combined with a base64-encoded or obfuscated command pattern. This behavior is indicative of an adversary attempting to execute obfuscated scripts or payloads associated with the Autogenstudio application or using it as a camouflage.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potential malicious activity involving the 'wusvc.exe' executable. It flags instances where 'wusvc.exe' is executed from the user's Downloads folder or other non-standard paths, particularly when the file size is abnormally small (less than 100KB), which is indicative of masquerading or a dropper payload. The rule also checks for a known malicious file hash associated with the Snowlight dropper.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects network outbound connections to known CDN domains over port 8084. This activity is often associated with the use of specific C2 frameworks (e.g., SNOWLIGHT or VSHELL) that leverage legitimate cloud infrastructure to blend malicious traffic within common CDN communication patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
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