Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
41 detections
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The following analytic detects modifications to the Windows registry that disable security settings for Terminal Services. It leverages the Endpoint data model, specifically monitoring changes to the registry path associated with Terminal Services security settings. This activity is significant because altering these settings can weaken the security posture of Remote Desktop Services, potentially allowing unauthorized remote access. If confirmed malicious, such modifications could enable attackers to gain persistent remote access to the system, facilitating further exploitation and data exfiltration.
The following analytic detects modifications to the Windows registry key "DisableRemoteDesktopAntiAlias" with a value set to 0x00000001. This detection leverages data from the Endpoint datamodel, specifically monitoring changes in the Registry node. This activity is significant as it may indicate the presence of DarkGate malware, which alters this registry setting to enhance its remote desktop capabilities. If confirmed malicious, this modification could allow an attacker to maintain persistence and control over the compromised host, potentially leading to further exploitation and data exfiltration.
The following analytic detects modifications to the Windows Error Reporting registry key "DontShowUI" to suppress error reporting dialogs. It leverages data from the Endpoint datamodel's Registry node to identify changes where the registry value is set to 0x00000001. This activity is significant as it is commonly associated with DarkGate malware, which uses this modification to avoid detection during its installation. If confirmed malicious, this behavior could allow attackers to maintain a low profile, avoiding user alerts and potentially enabling further malicious activities without user intervention.
The following analytic detects modifications to the Windows registry key "AuthenticationLevelOverride" within the Terminal Server Client settings. It leverages data from the Endpoint.Registry datamodel to identify changes where the registry value is set to 0x00000000. This activity is significant as it may indicate an attempt to override authentication levels for remote connections, a tactic used by DarkGate malware for malicious installations. If confirmed malicious, this could allow attackers to gain unauthorized remote access, potentially leading to data exfiltration or further system compromise.
Detects HTTP GET requests originating from internal hosts to external destinations where the User-Agent string contains 'AutoIt'. This behavior is indicative of the DarkGate malware downloading additional payloads or components using AutoIt scripting capabilities.
This rule correlates multiple indicators of compromise (IOCs) across file, network, and process events to detect potential advanced persistent threats (APTs) or sophisticated malware. It looks for specific file paths associated with tools like Lightshot, ScreenConnect, or suspicious VS Code extensions, combined with network connections to known malicious domains/IPs or unusual ports, and the execution of suspicious processes like 'Code.exe' outside of its legitimate VS Code path or 'ScreenConnect' related executables. A high threat score is assigned if multiple types of these indicators are observed on the same device and account within a 30-day window.
Detects the execution of AutoHotKey (.ahk) or AutoIt (.au3) scripts from common staging directories such as C:\Users\Public\ or C:\Temp\. This is a known technique used by malware like DarkGate to stage and execute its payload.
Detects the execution of PowerShell or VBScript commands that contain indicators of base64 encoding. This is a common obfuscation technique used by malware like DarkGate to hide malicious payloads, often seen in social engineering campaigns like "ClickFix".
Detects modifications to Windows Registry keys related to Remote Desktop Protocol (RDP) configuration. Malware like DarkGate is known to manipulate these settings to enable or modify RDP for persistence and remote access.
Detects the execution of the AutoHotKey interpreter (AutoHotKey.exe) as a child process of common initial access applications like web browsers, Microsoft Office products, or command-line interpreters. This behavior is a key indicator of the latest DarkGate malware infection chain.
The following analytic detects .cab files being written to disk. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on events where the file name is '*.cab' and the action is 'write'. This activity is significant as .cab files can be used to deliver malicious payloads, including embedded .url files that execute harmful code. If confirmed malicious, this behavior could lead to unauthorized code execution and potential system compromise. Analysts should review the file path and associated artifacts for further investigation.
The following analytic detects the execution of AutoIt3, a scripting language often used for automating Windows GUI tasks and general scripting. It identifies instances where AutoIt3 or its variants are executed by searching for process names or original file names matching 'autoit3.exe'. This activity is significant because attackers frequently use AutoIt3 to automate malicious actions, such as executing malware. If confirmed malicious, this activity could lead to unauthorized code execution, system compromise, or further propagation of malware within the environment.
The following analytic identifies the execution of RAR utilities to archive files on a system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, GUIDs, and command-line arguments. This activity is significant as threat actors, including red-teamers and malware like DarkGate, use RAR archiving to compress and exfiltrate collected data from compromised hosts. If confirmed malicious, this behavior could lead to the unauthorized transfer of sensitive information to command and control servers, posing a severe risk to data confidentiality and integrity.
The following analytic detects the execution of the 'rmdir' command with '/s' and '/q' options to delete files and directory trees. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. This activity is significant as it may indicate malware attempting to remove traces or components during cleanup operations. If confirmed malicious, this behavior could allow attackers to eliminate forensic evidence, hinder incident response efforts, and maintain persistence by removing indicators of compromise.
The analytic detects a process enabling the "SeDebugPrivilege" privilege token, leveraging Windows Security Event Logs with EventCode 4703. This privilege allows a process to inspect and modify the memory of other processes, which can lead to credential dumping or code injection. The rule filters out common legitimate processes to reduce false positives. If confirmed malicious, an attacker could gain extensive control over system processes, enabling privilege escalation, persistence, or access to sensitive information.
The following analytic detects a non-Chrome process accessing files in the Chrome user default folder. It leverages Windows Security Event logs, specifically event code 4663, to identify unauthorized access attempts. This activity is significant because the Chrome default folder contains sensitive user data such as login credentials, browsing history, and cookies. If confirmed malicious, this behavior could indicate an attempt to exfiltrate sensitive information, often associated with RATs, trojans, and advanced persistent threats like FIN7. Such access could lead to data theft and further compromise of the affected system.
This detection identifies unsigned DLLs loaded through DLL side-loading where the DLL shares the same file path as the process that loaded it. This technique is observed in malware like DarkGate and PlugX. The rule monitors DLL loading events, verifies digital signatures, and flags unsigned DLLs. It specifically excludes DLLs loaded from standard Windows system directories and Program Files to reduce false positives. Detecting such suspicious DLLs is crucial in preventing privilege escalation and other security breaches.
The following analytic detects non-Chrome processes attempting to access the Chrome extensions file. It leverages Windows Security Event logs, specifically event code 4663, to identify this behavior. This activity is significant because adversaries may exploit this file to extract sensitive information from the Chrome browser, posing a security risk. If confirmed malicious, this could lead to unauthorized access to stored credentials and other sensitive data, potentially compromising the security of the affected system and broader network.
The following analytic identifies the execution of the Windows shutdown command via the command line interface. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because attackers may use the shutdown command to erase tracks, cause disruption, or ensure changes take effect after installing backdoors. If confirmed malicious, this activity could lead to system downtime, denial of service, or evasion of security tools, impacting the overall security posture of the network.
KQL Query from file: ClickFix social engineering attack detection
KQL Query from file: Advanced Vishing KQL Detection
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