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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,585 views

11,679 detections

This rule detects potential privilege escalation or backdoor creation by monitoring for two primary indicators: 1) The modification of Windows Image File Execution Options (IFEO) registry keys for accessibility binaries (sethc.exe, osk.exe, utilman.exe, magnify.exe, narrator.exe, atbroker.exe) to point to unauthorized debuggers, and 2) The execution of common command interpreters or suspicious binaries spawned directly by these accessibility processes, which are commonly used in lock-screen bypass attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
This rule detects activities associated with VILE ransomware, focusing on unsigned Go-based binaries. It flags processes performing cross-process operations, creating specific file artifacts (e.g., vile_deadlines.json, vile_Decryptor), or invoking direct NT system calls such as NtCreateWaitCompletionPacket to evade EDR hooks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects PowerShell execution initiated by explorer.exe that explicitly uses the '-WindowStyle Hidden' parameter, a technique observed with the Potemkin loader to mask its execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
0026
Detects various methods of bypassing Windows User Account Control (UAC), including auto-elevating binaries spawning suspicious child processes, registry key hijacks (e.g., in HKEY_CURRENT_USER\Software\Classes) used to execute elevated code without prompts, and attempts to disable UAC via the 'EnableLUA' registry value.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects when the node.js runtime process accesses Docker configuration files, which may contain sensitive authentication credentials or registry settings. This behavior is atypical for standard node.js applications and could indicate credential theft or unauthorized container environment interaction.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects a fileless execution technique used by the MYRA Linux RAT where a payload is executed from memory using memfd_create and fexecve, effectively bypassing disk-based detection. The rule identifies processes originating from Node.js or npm installation scripts that exhibit anonymous, memory-backed execution paths typical of this malware's lifecycle.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects suspicious behaviors during npm package lifecycle events, specifically node.exe spawning command-line interpreters (cmd.exe, powershell.exe, etc.) or initiating network connections to known malicious or suspicious domains typically associated with npm supply chain attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects unauthorized access (creation, modification, renaming, or deletion) to sensitive local credential files by the Node.js runtime process (node.exe/node). This behavior is indicative of infostealers, specifically noted in the Miasma/MYRA activity associated with the Polymarket Trap campaign, where malicious packages attempt to exfiltrate AWS, SSH, NPM, Python, Docker, and GPG credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects Node.js runtime instances interacting with multiple sensitive developer configuration and credential files (e.g., .gitconfig, GitHub CLI host tokens, Claude configuration, git-credentials) in a single session. This pattern is consistent with infostealer malware (such as Miasma/MYRA) attempting to harvest developer credentials for downstream exploitation.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the use of the attrib.exe utility to modify file attributes by applying the hidden (+h), system (+s), and read-only (+r) flags simultaneously to files located within the ProgramData directory. This behavior is a common technique used by malware to hide artifacts from users and evade basic detection while attempting to prevent accidental deletion or modification.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
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