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Darshan Thummar

@Mighty
Completionist
1 follower12 downloads680 copies5 likes8,361 views

2,107 detections

This rule detects attempts to hijack the dynamic linker's LD_PRELOAD mechanism over an SSH connection. It specifically looks for the string "LD_PRELOAD" within TCP traffic on port 22 (SSH). This technique is often used by attackers for persistence or privilege escalation by injecting malicious libraries into legitimate processes.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to hijack macOS applications using malicious dynamic libraries (DYLIBs). It specifically looks for HTTP responses containing a URI with the ".dylib" extension and the content "__TEXT" within the file data, indicating a Mach-O executable segment. This combination suggests the delivery of a potentially malicious dynamic library designed for hijacking purposes on macOS systems.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the HTTP download of common boot script file types (batch, command, shell, PowerShell) that contain the string 'HKLM' (HKEY_LOCAL_MACHINE). This combination suggests an attempt to establish persistence or execute malicious code by modifying system-wide registry settings, often associated with trojan activity. The detection is based on the file extension in the URI and the content within the downloaded file's data.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects network traffic on port 445 (SMB) containing the strings "services.exe" and "ImagePath" (case-insensitive). This combination suggests an attempt to hijack the execution flow of a service by replacing its binary, specifically targeting the 'services.exe' process, which is a critical Windows component. The rule is designed to identify trojan activity related to persistence mechanisms.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to modify the shared library configuration file '/etc/ld.so' over an SSH connection. This activity is indicative of a shared library hijacking technique, often used for persistence or privilege escalation, where an attacker modifies the system's library loading paths to inject malicious libraries. The detection specifically looks for the string "/etc/ld.so" within TCP traffic destined for port 22 (SSH) on the home network.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects when an executable file (.exe) is dropped into a Windows 'Start Menu\Programs\Startup' folder via Server Message Block (SMB). This is a common technique used by attackers to establish persistence on a compromised system, ensuring that their malicious code runs every time the user logs in or the system starts.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects when a system daemon configuration file, specifically one containing ".service" in its URI and "[Service]" in its content, is delivered via HTTP from any source to the internal network. This could indicate an attempt to establish persistence or modify system services on a compromised host.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to remotely create or modify services on a target system via SMB, specifically looking for the 'CreateService' string within TCP traffic on port 445. It thresholds on 3 occurrences from the same source within 60 seconds to reduce false positives.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to deploy a Kubernetes CronJob via the Kubernetes API. It specifically looks for HTTP requests targeting the '/apis/batch' and 'cronjobs' URI paths, indicating an interaction with the batch API group for CronJob resources. This could be an indicator of an attacker attempting to establish persistence or execute malicious code within the Kubernetes cluster by scheduling tasks.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP POST requests to the Azure management API (management.azure.com). A high volume of such requests (20 within 10 seconds from the same source) could indicate automated activity, potentially related to command execution or resource manipulation within an Azure environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
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