Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

20,504 detections

Detects anomalous activity patterns consistent with automated firmware reverse engineering pipelines, specifically correlating the high-frequency execution of firmware analysis tools (e.g., binwalk, Ghidra) with the creation of vulnerability research knowledge base artifacts. This behavioral heuristic aims to identify potential AI-driven or automated zero-day discovery workflows by tracking tool usage density and output characteristics.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule detects potential command and control (C2) activity associated with the CurlRAT malware. It monitors for both the execution of 'curl' or 'curl.exe' processes with command lines containing known C2 domains, and network traffic originating from internal devices directed toward those same domains.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
104
Detects Node.js or Electron processes executing a command to list installed applications while originating from or residing within suspicious, writable directories such as Temp, AppData, or Public folders, which is a common pattern for reconnaissance by malicious software or droppers.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects Node.js or Electron processes executing a command to list installed applications while originating from or residing within suspicious, writable directories such as Temp, AppData, or Public folders, which is a common pattern for reconnaissance by malicious software or droppers.
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Arnold Chan@slaz
Defender - KQL
2 months ago
002
This rule detects the use of the curl command-line utility to communicate with a specific IP address (162.0.239.85) on port 3000, specifically targeting a path associated with 'mac' tasks. This pattern is indicative of a downloader or a staged payload retrieval from an external command-and-control server.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
005
Detects a suspicious sequence of activities where PowerShell downloads or extracts specific zip files (node.zip, build.zip) to staging directories, followed by the execution of associated binaries like node.exe, winpty-agent.exe, or winpty.dll from those same locations. This behavior is indicative of an adversary staging and executing tooling within temporary user directories.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects the execution of node.exe or electron.exe with command-line arguments indicative of browser automation (e.g., launching headless browsers, cookie access) when executed from high-risk, writable directories like AppData\Temp, AppData\Roaming, ProgramData, or Users\Public. This behavior is frequently associated with information-stealing malware or unauthorized browser automation.
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Arnold Chan@slaz
Defender - KQL
2 months ago
002
Detects the execution of node.exe or electron.exe with command-line arguments indicative of browser automation (e.g., launching headless browsers, cookie access) when executed from high-risk, writable directories like AppData\Temp, AppData\Roaming, ProgramData, or Users\Public. This behavior is frequently associated with information-stealing malware or unauthorized browser automation.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects the execution of node.exe or electron.exe with command-line arguments indicative of browser automation (e.g., launching headless browsers, cookie access) when executed from high-risk, writable directories like AppData\Temp, AppData\Roaming, ProgramData, or Users\Public. This behavior is frequently associated with information-stealing malware or unauthorized browser automation.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
Detects Node.js or related helper processes executing shell commands (cmd.exe, powershell.exe) or other processes where the execution involves the 'withCreateProcessUser' argument. This often indicates attempts to bypass execution restrictions or run malicious payloads by utilizing Node.js as an execution proxy within unconventional or temporary directories.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
This rule detects suspicious activity associated with JSCeal proxy handlers. It identifies Node.js or Electron processes running from non-standard, user-writable directories (such as AppData, ProgramData, or Temp folders) that actively delete or modify browser cookie files within standard web browser profile paths, often indicative of session hijacking or data tampering.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
Detects execution of Electron or Node.js processes attempting to export Telegram sessions, specifically targeting execution paths often used for staging or temporary storage (Temp, Roaming, ProgramData, Public folders).
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Arnold Chan@slaz
Defender - KQL
2 months ago
002
Detects attempts to tamper with Microsoft Windows Defender configuration, specifically by modifying exclusion paths via PowerShell cmdlets (Add-MpPreference, Set-MpPreference), direct registry modifications, or forced Group Policy updates. It also monitors for the disabling of Tamper Protection via registry and the creation of scheduled tasks designed to apply Defender exclusions.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
103
Detects the execution of PowerShell commands that utilize base64-encoded strings, window style arguments for obfuscation, and subsequent decoding to reveal suspicious indicators such as network downloading commands or archive manipulation, indicative of potential fileless malware staging.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects the execution of 'driverquery.exe' to enumerate information about the 'npf.sys' driver (Network Packet Filter), which is associated with Npcap/WinPcap used for packet capture. The rule specifically monitors when this command is launched by non-standard parent processes like 'report.bin' or 'nw.exe', which may indicate malicious reconnaissance or network monitoring tools.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
005
This rule detects potential malicious activity related to the 'gh-token-monitor' toolkit by aggregating suspicious signals across file, process, and network data sources on an individual host. It looks for the presence of specific configuration files or scripts, execution of commands associated with the toolkit or setup processes, and network connections to known command-and-control domains or IP addresses. A host is flagged if it exhibits two or more of these distinct signal categories, suggesting a high-confidence indicator of compromise.
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Montaser Ismail@M0nt3x
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Detections.ai Community
2 months ago
2014
Detects attempts to modify, disable, or exclude paths and processes from Microsoft Defender Antivirus using legitimate administrative utilities such as PowerShell, cmd, sc, and netsh. This behavior is indicative of an adversary attempting to evade security monitoring.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
203
Detects suspicious execution of PowerShell or Mshta spawned from Explorer.exe. It looks for specific malicious indicators including references to known malicious domains, PowerShell encoding flags, hidden window arguments, or Mshta HTTP requests, which are common patterns for fileless malware or dropper execution.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
103
This rule detects the execution of potentially malicious files (executables, scripts) from user-writable directories (Downloads, AppData, Desktop) where the file appears to be related to a ZIP archive recently downloaded or extracted by an archive handler or browser. It correlates process execution events with file creation events from ZIP archives to identify potential user-execution of malicious payloads delivered via ZIP files.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
103
Detects execution of AnyDesk from non-standard directories such as Temp, AppData, or User profile folders, often indicative of unauthorized or portable installation of remote access software.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
203
Detects behavioral indicators consistent with local privilege escalation targeting Windows ALPC subsystem vulnerabilities (CVE-2026-85880). The rule correlates: 1) Unsigned or low-prevalence processes loading sensitive ALPC-related DLLs (rpcss.dll, ntdll.dll), 2) Subsequent crashes or restarts of critical ALPC-handling system components (lsass.exe, RPCSS, wuauserv), and 3) The generation of a new SYSTEM-level process by a parent that was not previously running as SYSTEM within a short temporal window.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
101
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