Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,542 views
11,679 detections
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Detects the loading of 'opencv_world4120.dll' by specific process names commonly associated with update activity (UpdateAssistant.exe, AppUpdateHelper.exe, SysMaintenance.exe) when the loaded DLL is either unsigned, untrusted, or has an invalid signature. This is indicative of potential DLL side-loading where malicious code is executed under the context of an ostensibly legitimate update process.
Detects outbound network connections (HTTP/TLS) from internal hosts to a known malicious IP address associated with Adversary-in-the-Middle (AiTM) phishing infrastructure, specifically targeting Microsoft 365 credential and session cookie theft.
Detects the use of common command-line tools (curl, wget, python, etc.) to interact with known cloud provider metadata service IP addresses or URL paths, often performed by shell processes. This behavior is frequently associated with initial reconnaissance or attempts to steal identity tokens from cloud-based virtual machines.
Detects malicious processes associated with the HVNC backdoor (e.g., UpdateAssistant.exe, SysMaintenance.exe) concurrently running alongside identified security product processes on the same device. This behavior suggests the malware is performing automated reconnaissance of installed security software to inform further compromise actions.
Detects modifications or creations of Azure DevOps pipelines and service connections, as well as pipeline executions performed outside of standard business hours (6 AM to 8 PM on weekdays). This activity is intended to identify potential unauthorized infrastructure or pipeline configuration changes that could indicate persistence or lateral movement via CI/CD pipelines.
This rule detects a correlation between a successful user login from an IP address not previously seen for that specific user in the last 14 days, followed immediately (within 1 hour) by sensitive administrative operations performed by the same user, such as adding members to roles or modifying application permissions.
Detects malicious code within the BTree.prototype.set function designed to trigger a secondary payload (sharedLoad.min.js) at runtime. This behavior is intended to bypass npm install-script scanning by embedding the logic within legitimate-looking library code and using Node.js child_process spawns with hidden parameters to maintain persistence and execution.
Detects Node.js processes spawning common system discovery utilities such as systeminfo, wmic, or uname. This behavior is indicative of a post-compromise scenario where a web application or Node.js-based service is being used to gather information about the underlying operating system environment.
This rule monitors and alerts on network traffic (TCP/TLS/HTTP) directed toward a known malicious IP address associated with an Adversary-in-the-Middle (AiTM) phishing infrastructure, categorized under the PREY-0058 designation.
Detects network traffic indicating the use of Slack APIs as a command and control (C2) channel or for exfiltration. The rules monitor for specific TLS SNI strings, hardcoded Slack bot tokens, and specific channel IDs associated with the 'indexed-btree' malware campaign, which utilizes Slack as a C2 platform.
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