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Ethan Andrews

@eandrews
Trusted contributorCompletionist
13 followers311 downloads7,465 copies113 likes78,074 views

1,181 detections

Detects when a known OpenClaw AI agent process spawns a shell to download and immediately execute a script. This is a common pattern used by malicious "Skills" to establish persistence or run further payloads, as detailed in the NSFOCUS report.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
220138
Detects instances where the Windows 11 Notepad process (Notepad.exe) spawns unexpected child processes. This behavior is a primary indicator of the CVE-2026-20841 exploitation via malicious Markdown links, which allows for remote code execution.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
14086
Detects Notepad.exe initiating outbound network connections, specifically over SMB (port 445) or to public IP addresses over HTTP/S. This behavior is highly anomalous and can indicate an attempt to exploit CVE-2026-20841 to trigger an NTLM relay attack for credential harvesting or to download a remote payload.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
15084
Detects a specific two-step HTTP pattern characteristic of OysterLoader's initial C2 communication. The malware first sends a registration request containing a 'WordPressAgent' User-Agent string, followed by a login request with a 'FingerPrint' User-Agent string to the same destination. This version checks for the User-Agent strings in the 'AdditionalFields' column.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
170112
Identifies Node.js or Python processes attempting to download configuration-like files (e.g., .env, .env.example) from GitHub's raw content domain. This pattern is characteristic of the second-stage payload delivery in the Lazarus Group's Graphalgo campaign.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
6080
Detects the modification or deletion of specific JavaScript or Python files shortly after a Node.js or Python interpreter starts. This behavior is characteristic of the 'self-patching' and 'evidence removal' techniques used by the Lazarus Group's Graphalgo malware.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
6078
Detects when a Managed Identity successfully authenticates via the Azure Instance Metadata Service (IMDS) and subsequently performs administrative or enumeration actions within a short timeframe. This pattern can indicate an attacker has compromised a resource (e.g., a Virtual Machine) and is using its Managed Identity to move laterally or access other resources within the Azure environment. The rule correlates successful IMDS-based sign-ins with subsequent activities such as running commands on virtual machines, or listing/getting secrets and keys from Key Vaults, or other general administrative/alert-generating activities.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
130113
Detects the creation of a 'startup.js' file in specific, non-standard subdirectories used by the Lazarus Group's 'Graphalgo' campaign to stage malicious payloads. These paths mimic legitimate application folders to evade detection.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
5067
This detection identifies a pattern associated with the 'ClickFix' social engineering technique, where a user is tricked into copying a malicious command and pasting it into a PowerShell terminal. The query correlates a recent clipboard operation with a subsequent suspicious PowerShell execution by the same user on the same device.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
17093
This rule detects the creation of a scheduled task characteristic of OysterLoader's persistence mechanism. The malware creates a task set to run every 13 minutes, which executes a malicious DLL from the AppData\Roaming directory using rundll32.exe.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
6065
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