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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,181 views

7,555 detections

This rule detects potential malicious activity by correlating device events against a known set of malicious file hashes, domains, and URLs. It identifies files with known malicious hashes, network connections to known malicious domains, and command-line processes attempting to download files from known malicious URLs using common living-off-the-land tools like PowerShell, curl, or wget.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects anomalous child processes spawned by a Chrome renderer process. This behavior is often indicative of exploitation attempts, such as the BlueMoon exploit kit leveraging CVE-2026-85046, where a compromised renderer attempts to escape the sandbox or execute arbitrary code in the host process.
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Arnold Chan@slaz
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Hunters
2 months ago
8026
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
004
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
204
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects the use of rundll32.exe to execute comsvcs.dll's MiniDump functionality against the LSASS process, a common technique for dumping credentials. The rule includes behavioral correlation by identifying the same user account executing this pattern on multiple devices within a one-hour window.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
Detects potential persistence attempts via registry modifications involving rundll32.exe. The rule monitors for two patterns: registry keys associated with shell commands for specific file types triggering rundll32.exe, and registry 'Run' keys using a 'Locked' value name with a custom URI handler, often indicative of malware or suspicious persistence mechanisms.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects instances where PowerShell scripts are executed via the Windows Task Scheduler from within potential staging directories (ProgramData with randomized folder names). The rule identifies execution that uses common PowerShell obfuscation flags (e.g., -EncodedCommand) and requires secondary hardening bypass flags (e.g., -WindowStyle hidden), followed by correlated network activity to a specific suspicious C2 domain.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects instances where PowerShell scripts are executed via the Windows Task Scheduler from within potential staging directories (ProgramData with randomized folder names). The rule identifies execution that uses common PowerShell obfuscation flags (e.g., -EncodedCommand) and requires secondary hardening bypass flags (e.g., -WindowStyle hidden), followed by correlated network activity to a specific suspicious C2 domain.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
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