Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,501 detections
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IDS Classtypes
1
Detects unauthorized usage of Android Debug Bridge (ADB) commands to modify power management settings (Doze whitelist, app standby buckets) and grant secure settings permissions. These commands are typically used by persistent agents to prevent the operating system from terminating the process during battery optimization or low-resource states.
Detects execution of Android shell commands associated with power management and Doze mode exemptions (e.g., dumpsys deviceidle whitelist, pm grant) initiated by or involving a file named liblocal-service.so, which is characteristic of the Go Agent binary.
Detects anomalous attempts to silently reinstall an APK or modify accessibility settings via a local ADB shell daemon (identified by specific local-service file paths). This behavior is characteristic of Android malware, such as RatHat, attempting to maintain persistence and gain unauthorized permissions.
Detects the presence or execution of files associated with the 'MacSync' malware family, based on a list of known MD5 file hashes.
Detects the execution of PowerShell or Unix shell commands (such as those containing encoded arguments, IEX, or clipboard reading) that are initiated by GUI-based applications or interactive shell environments like Windows Explorer, terminal emulators, or runtime brokers, often indicating potential malicious command injection or living-off-the-land activity.
Detects instances where the legitimate Windows Character Map utility (charmap.exe) is spawned by suspicious processes or PowerShell, and subsequently loads clr.dll. This behavior is indicative of potential DLL sideloading or process injection techniques used by malware to execute arbitrary code within a trusted system process context.
Detects the initiation of PowerShell by the Windows Explorer process (explorer.exe), which is often indicative of malicious activity such as lateral movement or execution of scripts originating from user-triggered actions. The rule flags command lines containing obfuscated patterns, bypass arguments, or encoded commands.
Detects when AI-powered development tools or coding assistants (such as Claude, Copilot, Gemini, or Codex) spawn suspicious child processes like command shells (cmd, powershell, bash, sh) or networking utilities (curl, wget, python). This behavior is highly atypical for integrated development environments and may indicate exploitation of the assistant's integration or malicious code execution.
Detects the execution of 'git checkout' commands involving 'FETCH_HEAD', initiated by Gemini or Node.js runtime environments. This pattern may indicate automated repository synchronization, potential software supply chain activity, or anomalous usage of developer tools.
Detects Git command line executions involving 'branch', 'checkout', or 'push' operations that reference what appear to be full commit hashes as branch references. The rule flags instances where 'refname is ambiguous' warnings are generated, which may indicate an attempt to manipulate or interact with git repositories in ways that conflict with existing branches, potentially suggesting malicious repository tampering or discovery activity.
Detects the execution of the C# compiler (csc.exe) initiated by PowerShell. This behavior is often indicative of in-memory compilation and execution of malicious code, bypassing traditional file-based detection.
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 the execution of PowerShell with hidden window styles and encoded command arguments initiated directly from explorer.exe. This pattern is often indicative of malicious activity, such as fileless malware execution or obfuscated script delivery, where an attacker attempts to blend in with standard user interactions.
This rule detects potential unauthorized use of MeshAgent RMM software by correlating process execution events (mvtcs.exe, MeshAgent) with network traffic to specific IP addresses identified as associated with Settra command-and-control infrastructure. It specifically filters for MeshAgent activity and validates the threat by requiring an established network connection to known malicious endpoints.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
This rule monitors for indicators of compromise (IOCs) associated with the ShinyHunters threat actor, including specific malicious domains, IP addresses, and artifacts found in command lines or event data. It aggregates telemetry from network events, Entra ID sign-in logs, cloud application activity, email logs, process execution, and general device events to detect interaction with known malicious infrastructure or execution of threat-actor specific artifacts.
Detects execution chains where explorer.exe (acting as the Run dialog host) spawns suspicious processes like mshta.exe, powershell.exe, or cmd.exe with command lines containing URL indicators (http), common payload filenames (rtdx.dat), or specific IP address strings associated with known ClickFix social-engineering campaigns.
Detects the use of PowerShell's Start-Sleep cmdlet with a duration of 3 minutes or longer within process command lines. This technique is commonly used by malware, such as ClickFix-style droppers, to bypass sandbox time-based analysis by delaying execution until the sandbox timeout period has elapsed.
This rule detects potentially malicious child processes (cmd.exe or powershell.exe) spawned by PaperCut application processes (pc-app.exe, PCClient.exe, or java.exe), which may indicate exploitation attempts such as RCE following an authentication bypass.
This rule identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
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