Detections

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

40,063 detections

This rule monitors for indicators of compromise (IOCs) associated with the threat actor SideCopy and their associated malware, such as ReverseRAT. It hunts for specific malicious SHA256 file/process hashes, connections to known malicious C2 infrastructure (IPs and domains), requests to known malicious URLs, and user interaction with these URLs via email clicks.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects network and DNS activity associated with the SideCopy threat group, specifically monitoring for connections to known C2 domains, C2 IP addresses, or the usage of port 5863 typically associated with the ReverseRAT backdoor.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
303
This rule detects potentially malicious child processes spawned by Visual Studio Code (Code.exe) when using VS Code tasks (tasks.json). It identifies suspicious CLI arguments often associated with downloading, executing, or obfuscating scripts (e.g., PowerShell, curl, python, mshta) that are not part of standard development workflows like npm, yarn, or git, which are explicitly filtered out as noise.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
007
This rule detects non-standard processes attempting to access sensitive web browser files (e.g., 'Login Data', 'Cookies', 'key4.db') that are typically only accessed by legitimate web browsers. It excludes known browser processes and trusted security or sync applications to identify potential credential theft attempts.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
107
Detects the use of PowerShell to load .NET assemblies into memory using System.Reflection.Assembly::Load combined with indicators often associated with fileless payload execution, such as GZip decompression, AES decryption, or method invocation (EntryPoint.Invoke, GetType).
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
105
Detects the execution of PowerShell commands that utilize .NET cryptography classes (AesManaged) in conjunction with data compression (GZipStream) and base64 decoding (FromBase64String). This combination of classes is highly characteristic of malicious scripts designed to decrypt and execute obfuscated or packed payloads in memory.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
205
Detects command-line activity indicating an attempt to bypass or tamper with Anti-Malware Scan Interface (AMSI) functionality. The rule flags processes invoking GetProcAddress or LoadLibrary to resolve and manipulate AMSI-specific functions like AmsiScanBuffer or AmsiScanString within amsi.dll, a common technique for disabling runtime script scanning.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
105
Detects execution chains associated with the SideCopy threat group's ReverseRAT payload. The detection looks for mshta.exe being spawned by common shell processes (explorer, wscript, cmd, powershell) to execute remote HTA content or access 'docsportal.in'. It also monitors for subsequent reflective DLL loading via rundll32.exe or regsvr32.exe, which is indicative of the final ReverseRAT payload activation.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
003
This rule detects potential privilege escalation exploiting a dangling COM object registration (CLSID {E9F83CF2-E0C0-4CA7-AF01-E90C70BEF496}). It monitors for a non-SYSTEM user creating a DLL within the 'CrossDevice' ProgramData folder, followed by a scheduled task trigger, and subsequently detects 'dllhost.exe' running as SYSTEM loading that specific malicious DLL, indicating successful execution of unauthorized code with elevated privileges.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
103
This rule detects potential privilege escalation exploiting a dangling COM object registration (CLSID {E9F83CF2-E0C0-4CA7-AF01-E90C70BEF496}). It monitors for a non-SYSTEM user creating a DLL within the 'CrossDevice' ProgramData folder, followed by a scheduled task trigger, and subsequently detects 'dllhost.exe' running as SYSTEM loading that specific malicious DLL, indicating successful execution of unauthorized code with elevated privileges.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
003
This rule detects potential privilege escalation exploiting a dangling COM object registration (CLSID {E9F83CF2-E0C0-4CA7-AF01-E90C70BEF496}). It monitors for a non-SYSTEM user creating a DLL within the 'CrossDevice' ProgramData folder, followed by a scheduled task trigger, and subsequently detects 'dllhost.exe' running as SYSTEM loading that specific malicious DLL, indicating successful execution of unauthorized code with elevated privileges.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
003
Detects attempts to dump credentials from the LSASS process memory, either by executing known credential dumping tools like Mimikatz, using command-line arguments indicative of credential harvesting, or performing suspicious memory access/dumping operations on the lsass.exe process.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
1011
This rule detects the creation or registration of scheduled tasks using common scripting engines (PowerShell, WScript, CScript) or specific task name patterns (MicrosoftEdgeUpdateTaskCore, PhotoStudio.js) often associated with malicious persistence or execution. It monitors command lines for flags such as /create, /sc onlogon, or /ru system that suggest non-standard or unauthorized task creation patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
205
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
103
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
203
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
103
Detects instances where common web browsers (chrome, msedge, firefox, brave) are spawned as child processes by suspicious parent applications or scripting environments such as PowerShell, CMD, WScript, MSHTA, or Office documents (Winword, Excel). This behavior is often indicative of malicious document execution, file-less malware techniques, or drive-by download attempts.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
003
Detects non-browser processes performing file operations (create, modify, rename) on known web browser credential storage, configuration files, and cryptocurrency wallet artifacts in a short duration. This behavior is indicative of credential harvesting or information stealing activity often associated with malware like Vidar, which stages these sensitive files for exfiltration.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
213
Detects non-browser processes performing file operations (create, modify, rename) on known web browser credential storage, configuration files, and cryptocurrency wallet artifacts in a short duration. This behavior is indicative of credential harvesting or information stealing activity often associated with malware like Vidar, which stages these sensitive files for exfiltration.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
003
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