Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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IDS Classtypes
1
Detects PamStealer-style browser credential theft on macOS. The detection logic identifies the forced termination of browser helper processes using 'pkill' (which releases SQLite file locks) followed by the execution of a 'KcHelper' binary that uses specific environment markers (e.g., KC_PASS) to bypass keychain authorization prompts and steal stored browser credentials.
This rule monitors endpoint network events, file events, and process executions for indicators associated with the Kamasers malware. It specifically looks for connections to known malicious C2 IP addresses and domains, as well as the presence or execution of files matching known malicious SHA256 hashes.
Detects the initiation of the OAuth 2.0 Device Authorization Grant flow via command-line arguments within standard web browsers. This flow is frequently exploited in phishing campaigns to obtain unauthorized access tokens by tricking users into entering a device code on a malicious or attacker-controlled authorization page.
Detects the creation of a shortcut (.lnk) file by the process 'OrionQuests-Setup.exe'. This activity is often associated with installers or applications placing shortcuts on the desktop or in startup folders for persistence or execution initiation.
Detects the loading or execution of known SloppyRAT DLL samples. This malware is identified for its implementation of Hell's Gate-style indirect syscalls, utilizing techniques such as DJB2 API hashing and NTDLL stub parsing to evade EDR hooks. The rule monitors for specific file hashes and potential masquerading behaviors (e.g., hostfxr.dll) across image loading, file, and process events.
Detects the execution of PowerShell from a shortcut (.lnk) file, particularly when suspicious command-line arguments such as hidden windows, encoded commands, or bypass flags are utilized. This pattern is commonly associated with initial access via malicious attachments or shortcut files.
Detects anomalous network connections initiated by a node.exe process spawned by npm.exe within 2 minutes of a lifecycle script (preinstall or postinstall) execution. This behavior is indicative of malicious dependency installation where a compromised package attempts to exfiltrate data or fetch additional payloads immediately upon installation.
Detects network communication with known malicious domains and IP addresses, as well as the presence of known malicious file hashes on the system. The rule correlates network connection events, file creation events, and process creation events against predefined lists of C2 infrastructure and malware indicators.
Detects anomalous network connections initiated by a node.exe process spawned by npm.exe within 2 minutes of a lifecycle script (preinstall or postinstall) execution. This behavior is indicative of malicious dependency installation where a compromised package attempts to exfiltrate data or fetch additional payloads immediately upon installation.
Detects Python processes (python.exe, python3.exe, pythonw.exe) performing DNS resolution for Microsoft identity, device login, or Graph API endpoints. This activity is consistent with automated tooling, such as python-requests, performing device-code flow polling or API token authentication within an environment.
Detects the creation of a PowerShell process that identifies itself as being spawned by explorer.exe, while the process ID (PID) and parent process ID (PPID) relationship indicates inconsistency, often characteristic of the PSSpoof technique used by malware like SloppyRAT to evade detection by spoofing the process tree.
Detects the execution of processes containing indicators associated with Alinubx or the string 222024, which are potentially linked to malicious software or unauthorized tools.
Detects the use of PowerShell to reflectively load .NET assemblies into memory, often associated with fileless malware execution. The rule monitors for common reflection-based methods (e.g., Assembly.Load, [System.Reflection.Assembly]) in conjunction with encoded command patterns or script execution.
Detects the creation of a new Windows service using the service control manager command-line utility (sc.exe). This command is commonly used by attackers to achieve persistence by creating services that execute malicious binaries at startup, or to run processes with SYSTEM privileges.
This rule detects the execution of the legacy finger.exe utility when spawned by common user-facing applications (e.g., browsers, shells, explorer). The detection specifically looks for instances where the command line includes an '@' character, indicating an attempt to query information from a remote host, while excluding standard localhost queries. This pattern is often associated with reconnaissance activity or enumeration of remote users/systems.
Detects the invocation of common command-line interpreters (PowerShell or Windows Command Shell) via process creation events. This is a broad detection for administrative shell activity, which may also indicate malicious script execution or manual adversary interaction.
Detects Android device management (MDM) components (specifically 'com.corp.mdm') re-launching registration or sticky services upon system events such as boot completion, quick-boot, or package updates. This monitoring is intended to identify persistent components that maintain functionality across device restarts.
Detects Android device management (MDM) components (specifically 'com.corp.mdm') re-launching registration or sticky services upon system events such as boot completion, quick-boot, or package updates. This monitoring is intended to identify persistent components that maintain functionality across device restarts.
Detects Android device management (MDM) components (specifically 'com.corp.mdm') re-launching registration or sticky services upon system events such as boot completion, quick-boot, or package updates. This monitoring is intended to identify persistent components that maintain functionality across device restarts.
Detects processes running from user-writable locations (Temp/AppData/Public/Downloads) creating a self-referential Windows Firewall allow rule via netsh, consistent with NJRAT establishing outbound C2 connectivity while evading network-based blocking.
This rule detects the execution of known Remote Monitoring and Management (RMM) tools across the environment. RMM tools are frequently used by IT administrators for legitimate support, but are also commonly abused by threat actors to establish persistence and gain remote access to systems. The rule tracks the first instance of these processes appearing on any device within a 30-day window.
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