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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,184 views

7,555 detections

Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
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Arnold Chan@slaz
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Hunters
2 months ago
104
Detects instances where the 'msedge.exe' binary is executed from the non-standard path 'C:\ProgramData\Microsoft\Windows\Telemetry\', excluding instances initiated by the legitimate Microsoft Edge Update process. This pattern often indicates masquerading, where an adversary places a malicious file with a legitimate name in an attempt to evade detection.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
Detects execution of the MovieReaper initial loader binary. This malware employs advanced anti-analysis techniques, specifically manual PEB-walking to resolve APIs and evade detection by standard library loading hooks. The rule alerts on known file hashes and specific masquerading filenames.
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Arnold Chan@slaz
Defender - KQL
2 months ago
004
This rule detects a multi-stage malicious behavior chain: the execution of a suspected loader (identified by hash or specific mutex), followed by network communication to a known C2 domain or IP, and concluded by the placement of a file in the Windows Telemetry folder (typically mimicking msedge.exe). The events are correlated within a short time window (2 hours between each stage) on the same device.
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Arnold Chan@slaz
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Hunters
2 months ago
004
This rule monitors for execution of files with specific SHA256 hashes known to be malicious, and network connections to a known malicious domain associated with Vultr storage. It aggregates file creation, process execution, and network connection events to detect potential threat activity.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
407
This rule detects network traffic indicative of N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
006
This rule detects potential OAuth token theft resulting from device code phishing (e.g., N0va phishkit). It monitors for a successful OAuth device-code authentication followed within 5 minutes by a secondary successful sign-in for the same user from a different IP address, different browser client, or different user agent, which is a common indicator of an adversary-in-the-middle (AiTM) session hijacking attempt.
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Arnold Chan@slaz
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Hunters
2 months ago
006
This rule detects potential credential or token theft attempts from the N0va phishing kit. It monitors for emails lacking attachments that contain specific URL patterns associated with verification or session initialization, coupled with social engineering tactics such as spoofing legitimate service display names or subjects (e.g., Microsoft Teams, DocuSign, etc.) while originating from non-legitimate domains.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
006
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
005
This rule detects suspicious usage of certutil.exe for file downloading or the execution of the Chisel proxy tool, specifically targeting connections or authentication towards the suspicious IP address 69.48.228.86. This behavior is indicative of C2 communication or ingress tool transfer.
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Arnold Chan@slaz
Defender - KQL
2 months ago
006
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