
Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,099 downloads4,317 copies51 likes25,757 views
7,544 detections
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Detects a behavioral chain where PowerShell stages a hidden base64-encoded command and schedules a VBScript task, or PowerShell fetches an upgrade.txt file via web client methods for execution.
Detects PowerShell execution performing port checks across multiple internal hosts using Test-NetConnection in a looping construct with output redirected to a log file, indicative of post-compromise reconnaissance (such as LONEPAGE scanning).
Detects the execution of MATCHBOIL malware variants (PlannerAssistantManager.exe or RegularExpressionExplorer.exe) using specific command-line arguments (-auto, -plans, -renew) which trigger C&C logic.
Detects the execution of MATCHBOIL malware variants (PlannerAssistantManager.exe or RegularExpressionExplorer.exe) using specific command-line arguments (-auto, -plans, -renew) which trigger C&C logic.
This rule monitors endpoint telemetry (DNS queries, network connections, file creation, and process execution) to identify matches against a predefined list of known malicious indicators, including IP addresses, domains, and file hashes (SHA256). The rule differentiates between confirmed malicious activity and low-confidence indicators, providing a prioritized view of potential threats.
Detects the handshake process for Blackwood/Chisel reverse SOCKS5 or TCP-over-HTTP tunneling to a known malicious Iranian-hosted C2 IP address. The detection matches specific HTTP headers used by the Chisel tool during its initialization phase.
This rule monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
Detects the Akira ransomware binary staged as C:\storage\win.exe and identified by its known SHA256 hash
Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
This rule performs an IOC sweep over the past 30 days using DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to detect indicators associated with PoeLLM / Canto Incognito malware campaigns, specifically scanning for known C2 IP addresses, Kryptex cryptomining pool endpoints/domains, and specific file hashes (SHA256).
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