Detections

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

40,063 detections

Detects the execution of pypykatz or Python scripts invoking pypykatz commands to perform credential dumping, specifically targeting LSASS memory or minidump files.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects command-line activity indicative of attempts to dump LSASS memory after performing in-memory unhooking or bypassing of security monitoring DLLs (ntdll.dll, amsi.dll, win32kbase.sys). This behavior is characteristic of adversaries attempting to harvest credentials while evading EDR/AV visibility.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects a process initiating a memory dump of lsass.exe (using --dump arguments) followed within 15 minutes by the creation of a hexadecimal-named .tmp file in the Windows\Temp directory. This behavioral pattern is characteristic of credential dumping using reflected cloning or similar techniques, followed by the staging of obfuscated or encrypted minidump data for exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
This rule detects LSASS credential dumping attempts by correlating the execution of a dump command (via process command line) with the subsequent creation of a temporary file in the Windows Temp directory. The rule is specifically designed to bypass evasion techniques that introduce randomized delays between the LSASS process access and the file write operation by utilizing a 30-minute join window.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects outbound HTTP POST requests associated with the Telepuz modular loader. The rule monitors for specific URI patterns, request body parameters, and suspicious User-Agent strings indicative of PowerShell or MSHTA command-and-control communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
101
This rule detects potential post-exploitation activity following a SharePoint XamlServices.Parse() deserialization attack. It monitors the w3wp.exe (IIS worker process) for the loading of suspicious .NET deserialization-related assemblies (e.g., System.Xaml.dll) followed by the execution of a shell process (cmd.exe, powershell.exe, etc.) within a short window, which is indicative of fileless web shell activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
004
Detects suspicious activities associated with ysoserial.net gadget chain exploitation targeting SharePoint's w3wp.exe process. The rule correlates the loading of specific .NET assemblies (PresentationFramework, System.Xaml, System.Data.Services) with the subsequent execution of command shells (cmd, powershell) or the presence of common ysoserial.net-related strings (ActivitySurrogateSelector, LosFormatter) within command lines originating from the w3wp.exe process, indicating a potential web shell.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
004
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
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Arnold Chan@slaz
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Hunters
1 month ago
000
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
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Arnold Chan@slaz
Defender - KQL
1 month ago
000
Detects periodic outbound network connections (beaconing) to rare remote destinations initiated by processes running from non-standard or user-writable locations. The rule calculates the interval coefficient of variation (CV) between successful connections to identify regular, consistent patterns indicative of command and control communication while excluding known legitimate update and service traffic.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
100
This rule identifies suspicious command and control (C2) activity by monitoring network connections to specific known malicious domains, detection of specific authentication tokens in process command lines, and the use of spoofed User-Agent strings associated with predefined C2 URI paths.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
104
Detects suspicious PowerShell command lines that load a .dat file, decode its Base64 content, and execute it in-memory. This behavior is indicative of the 'TASK#STOMP' loader pattern, where malicious code is hidden in external files and invoked directly into memory to bypass traditional file-based security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
004
Detects the use of csc.exe (C# compiler) launched from PowerShell with hidden or bypass flags, as well as the subsequent execution of cvtres.exe. This activity is commonly associated with fileless malware techniques where helper classes or payloads are compiled and executed in-memory at runtime to evade detection.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
104
Detects a suspicious sequence where Microsoft Outlook launches Microsoft Edge to open a URL, and that browser process subsequently makes network connections to infrastructure associated with the ClickFix phishing campaign (e.g., rsvpopenh.one or specific malicious IP).
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
703
Detects network connections over port 443 initiated by a process named 'rnpkeys.exe' running from a suspicious staging directory ('\ProgramData\keyroll\'). This behavior is characteristic of side-loaded payloads establishing command-and-control communication for data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects the execution of Node.js or Python interpreters from user-writable directories (AppData/Local) that are executing specific script files. This pattern is indicative of potential malicious activity where legitimate scripting languages are leveraged to run unauthorized payloads dropped into the user profile.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
103
This rule detects the execution of 'rnpkeys.exe' from within the '\ProgramData\keyroll\' directory, specifically when it loads 'rnp.dll' from the same path. This behavior is indicative of potential malicious activity, as the ProgramData directory is a common location for adversaries to stage files, and the use of custom DLL loading from this directory may suggest an attempt to execute unauthorized code or obfuscate tool activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects the suspicious sequential loading of 'tdwp.dll' and 'rnp.dll' by processes related to key management or encryption (e.g., 'rnpkeys.exe' or processes from a 'keyroll' folder). The detection correlates these events within a 2-minute window and highlights if the 'tdwp.dll' has a known malicious hash.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potentially malicious usage of msiexec.exe where the command line contains obfuscation techniques such as excessive spacing, Unicode character substitution, or suspicious case variations. It specifically looks for activity initiated by common shell processes like explorer.exe or cmd.exe that involves the /package argument or URL-based loading, which is a common indicator of MSI-based payload delivery.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
103
Detects the creation of a scheduled task named 'keyroll' in close temporal proximity to the execution of 'rnpkeys.exe' from 'C:\ProgramData\keyroll'. This pattern mimics the persistence mechanism used by the Sauron malware (a.k.a. Strider) to execute its loader chain.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule uses YARA to identify specific malicious files associated with the Sauron Loader malware, including the MSI installer and associated support DLLs (rnp.dll, tdwp.dll), based on their known SHA-256 hashes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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