Detections

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

20,501 detections

This rule detects potential execution of malicious files from removable media (e.g., USB drives). It monitors for a sequence of events where a removable drive is mounted, a file is subsequently created on that drive, and then that same file is executed within a short time window.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
508
Detects the suspicious execution of a file named 'Windowsupdate.exe' located in 'AppData\Local' that is invoked via a command containing 'copy' and '/b'. This behavior is indicative of an attacker attempting to copy or stitch binary files using a masqueraded system process name to evade detection.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
408
This rule monitors for web server exploit attempts (indicated by patterns like JNDI lookups or SQL injection sequences in URI/cookie data) that correlate with a surge in server-side errors (400+ status codes) and subsequent anomalous process creation or outbound network connections from the web server process.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
708
Detects MSBuild process execution originating from command shells loading obfuscated scripts or inline projects associated with PavinLoader.
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Vignesh Keshavan@illusion07
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Detections.ai Community
2 months ago
0013
Detects persistence and configuration activity associated with the CornFlake RAT, including the creation of malicious Windows services (e.g., 'svchost32', 'Cloud Sync Service'), registry run key modifications, and the presence of specific file artifacts like 'sync.dat' and malicious executables within AppData directories.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
2016
This rule detects common command-line utilities (cat, bash, sh, python, grep) being used to access the '/proc/1/environ' file. This file contains environment variables for the PID 1 process (typically the init system), which may include sensitive information such as credentials, configuration paths, or system secrets.
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gaurang k@gaurang7778
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Detections.ai Community
2 months ago
002
Detects the abuse of the Windows ftp.exe utility to execute a local script file provided via the -s flag. Adversaries may leverage this behavior, often triggered by malicious LNK files, to proxy the execution of commands or scripts.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
006
Detects the execution of Windowsupdate.exe, a known component of the QUICSILVER campaign. The backdoor is identified by its filename and specific file hash. Once executed, it facilitates system and directory discovery, including hostname enumeration and file system navigation.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
006
Detects the use of the native Windows utility 'wbadmin.exe' to initiate a backup procedure targeting the Active Directory database (NTDS.dit) and associated registry hives (SYSTEM, SECURITY). This technique is utilized by adversaries for offline credential harvesting by extracting the directory database file. This behavior has been observed in intrusion campaigns involving ransomware actors like Akira.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
006
Detects the use of the sc.exe utility to disable critical system, security, and database services, a technique commonly associated with Everest ransomware to prevent service restart during encryption activities.
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Tim Peck@timpeck
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Detections.ai Community
2 months ago
15017
This rule detects the creation of a Windows scheduled task named 'TaskHandler' using the schtasks.exe utility. The task is configured to execute a specific file, 'F7u00ex.exe', on system startup under the 'NT AUTHORITY\SYSTEM' account. This behavior is indicative of a persistence mechanism, often associated with the Spark RAT malware, which attempts to maintain a foothold on the system with high-level privileges.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
2 months ago
306
This rule detects a multi-stage attack pattern associated with Akira ransomware, including AD enumeration using PowerShell, data staging with WinRAR, S3 exfiltration via s5cmd, AnyDesk service installation, registry manipulation for persistence via Safe Mode, and boot configuration changes to facilitate EDR bypass. It also incorporates detection for specific IOCs like attacker jump host RDP connections and malicious file hashes.
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Aamir Muhammad@Aamir
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Detections.ai Community
3 months ago
32075
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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Detections.ai Community
2 months ago
000
This rule monitors for scenarios where multiple common GUI applications (such as browsers, explorer, or notepad) are executed in rapid succession (within 2 minutes) from suspicious directories commonly associated with malware staging (e.g., Temp, AppData, or Downloads). This pattern is often indicative of an adversary executing a malicious payload, such as a multi-stage dropper or a file-based installer masquerading as legitimate software.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
000
Detects suspicious processes executing from user-writable directories (Temp, AppData, Downloads) that are either unsigned or command-line focused on media capture (camera/microphone), while also loading media-related DLLs. The rule correlates this activity with potential spawned hidden UI processes (explorer/notepad) and AnyDesk remote access connectivity, which is a behavioral pattern indicative of remote monitoring or data exfiltration malware.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
000
Detects suspicious processes executing from user-writable directories (Temp, AppData, Downloads) that are either unsigned or command-line focused on media capture (camera/microphone), while also loading media-related DLLs. The rule correlates this activity with potential spawned hidden UI processes (explorer/notepad) and AnyDesk remote access connectivity, which is a behavioral pattern indicative of remote monitoring or data exfiltration malware.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
Detects the enablement of the Remote Desktop Protocol (RDP) by modifying registry keys or service configurations, specifically when triggered by identified remote access tools or common script interpreters (cmd, powershell, etc.) executing from non-standard user-writable paths such as Temp or AppData. This behavior is indicative of lateral movement preparation.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
7012
Detects instances of PowerShell being launched directly by explorer.exe with command-line arguments indicative of malicious activity, specifically the 'ClickFix' pattern where users are social-engineered to copy/paste malicious commands into the Windows Run dialog.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
26047
Detects suspicious execution of 'browsercore.exe' using common command-line interpreters (cmd.exe, powershell.exe, pwsh.exe). This pattern monitors for specific command-line arguments involving file redirection, content retrieval, or process spawning, which are often indicative of malicious activity or attempts to bypass security controls by leveraging legitimate-looking browser-related binaries.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
105
This rule detects the execution of Windows Explorer (explorer.exe) with specific command-line arguments involving a factory initialization sequence and an embedding flag. This command line pattern is typically associated with shell object manipulation or specific COM object instantiation, which may be leveraged for process injection or hiding malicious activity.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
4014
This rule detects instances where a Python interpreter loads the 'snap7.dll' library or executes processes containing 'snap7' or 'python-snap7' in the command line. Snap7 is an open-source library used for communication with Siemens S7 PLCs. This detection helps identify potential unauthorized or suspicious interaction with Industrial Control Systems (ICS) via Python scripts.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
405
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