Detections

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

4,867 detections

This rule detects the creation of a specific mutex pattern associated with the Grixba ransomware. The mutex name starts with 'CPFATE_' and contains the .NET framework version string 'v4.0.30319', which is a unique artifact used by Grixba to ensure only one instance of itself is running.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
105
Detects attempts by the Grixba ransomware to query a specific custom locale registry key (en-US) for geofencing purposes. This activity is indicative of the ransomware checking the system's locale settings, potentially to avoid encrypting systems in certain geographical regions.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
105
This rule detects potential HTML smuggling attempts where a malicious payload is delivered via a Blob URL. It specifically looks for HTTP responses (flow:to_client) that contain both 'URL.createObjectURL' and 'Blob(' (case-insensitive) in the file data. This combination is indicative of JavaScript code creating a Blob object and then generating a URL for it, which can be used to deliver files directly to the client's browser, bypassing traditional network security controls.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the delivery of a stripped binary, specifically an executable (indicated by 'MZ' header) that has been packed or compressed using UPX (indicated by 'UPX' string). The rule triggers on HTTP traffic flowing to the client, suggesting a download or delivery of such a file. The 'Stripped Binary Delivered with Debug Info Removed' message implies an attempt to evade detection or analysis by removing debugging information, often associated with malware or unwanted applications.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the delivery of a kernel rootkit module, specifically a Linux Kernel Module (LKM) or a Windows system file, over HTTP. It looks for HTTP responses where the URI ends with '.ko' (Kernel Object for Linux) or '.sys' (system file for Windows) and the file data contains the 'ELF' magic bytes, indicating an Executable and Linkable Format file, which is common for Linux executables and modules. This combination suggests an attempt to deliver a malicious kernel module.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects HTTP C2 traffic attempting to store a fileless payload in the Windows Registry. It specifically looks for HTTP responses (flow:to_client) containing the strings 'HKCU' (likely indicating a registry key path), 'powershell', and 'IEX' (Invoke-Expression), which are common indicators of PowerShell-based fileless malware using the registry for persistence or execution.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects potential steganography where a payload is embedded within an image file, specifically a JPEG. It triggers when an HTTP response contains JPEG magic bytes (`FF D8 FF`) within the first 3 bytes, and the file size is unusually large (over 1MB), suggesting additional data might be hidden within the image. The rule also includes a threshold to prevent excessive alerts from legitimate large images.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects network traffic, specifically HTTP responses (flow:to_client), that contain the strings "GetProcAddress" and "LoadLibraryA" (case-insensitive). These strings are commonly associated with dynamic API resolution techniques used by malware to load functions at runtime, often to evade static analysis. The rule is classified as detecting trojan activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the presence of a Right-to-Left Override (RLO) character (Unicode E2 80 AE) in HTTP response content, specifically within file data. This character can be used in filenames to visually reverse the order of characters, making a file appear to have a different extension or name than it actually does, a common technique for defense evasion and tricking users into executing malicious files.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the presence of an MSBuild inline task payload within HTTP traffic. It specifically looks for the combination of the strings "<UsingTask", "TaskFactory", and "Code" (case-insensitive) within the file data of an HTTP response. This pattern is indicative of an MSBuild inline task, which can be used by attackers for proxy execution, often as a defense evasion technique.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the string "ComRegisterFunction" within HTTP response bodies (file.data). This string is associated with .NET assembly registration, specifically when tools like Regsvcs or Regasm are used for 'Assembly Proxy Execution'. This technique is often employed by attackers for defense evasion, as it allows them to execute malicious code via legitimate Microsoft utilities.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects network traffic (specifically HTTP responses) that contains patterns indicative of timing-based anti-debugging techniques. It looks for the presence of "__rdtsc" (Read Time-Stamp Counter) and "ExitProcess" within the file data of an HTTP response, suggesting that a program might be attempting to detect a debugger by measuring execution time and exiting if debugging is detected. This is a common technique used by malware to evade analysis.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects HTTP traffic where the User-Agent header contains "MSHTML", indicating potential remote script execution via Mshta. Mshta.exe is a Microsoft utility that can execute HTML Application (HTA) files, which can contain scripts. Attackers often abuse Mshta to execute malicious scripts, bypassing traditional execution policies. The rule specifically looks for outbound HTTP connections from the internal network ($HOME_NET) to any external destination, where the User-Agent string includes "MSHTML" (case-insensitive). This behavior is commonly associated with trojan activity and defense evasion tactics.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects potential in-memory PE loading without disk write by looking for specific strings in HTTP file data. It specifically searches for the strings "Assembly.Load(" and "Invoke(" (case-insensitive) within the HTTP response body (flow:to_client,established; file.data). This combination of strings is indicative of .NET applications dynamically loading assemblies into memory and then executing methods, which can be a technique used by malware to avoid writing executables to disk.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the string "sekurlsa" within the HTTP URI, which is commonly associated with the Mimikatz tool attempting to dump credentials from the Local Security Authority Subsystem Service (LSASS) process. The detection is case-insensitive and targets traffic flowing from the client to the server.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects the presence of a web portal login page skimmer script by looking for specific JavaScript keywords within HTTP response data. It specifically searches for the combination of 'addEventListener', 'keydown', and 'XMLHttpRequest' (case-insensitive) in the data flowing from the server to the client. This combination suggests a script designed to capture user input (like keystrokes) and exfiltrate it via XMLHttpRequest, a common technique used by web skimmers to steal credentials.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects attempts to spoof a Windows login credential dialog box over HTTP. It specifically looks for the string "CredUIPromptForCredentials" (case-insensitive) within the file data of HTTP traffic flowing from the server to the client. This string is associated with the Windows Credential UI API, and its presence in unexpected contexts, especially in HTTP responses, could indicate a phishing attempt or malware trying to trick users into entering credentials.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects suspicious activity indicative of post-quantum ransomware, combining two main indicators: the execution of processes with command-line arguments related to post-quantum cryptographic algorithms (Kyber, ML-KEM, NTRU, Dilithium, Falcon, SPHINCS) and the creation of common ransomware notes (README.txt, DECRYPT.txt, RESTORE.txt, PAYMENT.txt, RANSOM.txt). The cryptographic operation detection specifically looks for high or system integrity processes and excludes common legitimate cryptographic tools. The rule correlates multiple cryptographic operations within a short timeframe and the creation of ransom notes to identify potential ransomware deployment.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects the creation or modification of specific LaunchAgent plist files used by the arm64 and x86_64 variants of SStar Agent malware on macOS for persistence. The rule looks for file events (creation, modification, rename) within the /Library/LaunchAgents/ directory, specifically targeting 'com.wpnuersvc.agent.plist' and 'com.googleupdate.sstaragent.plist' filenames.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
3014
Detects non-browser processes making DNS queries to the Telegram Bot API. This activity is indicative of malware using Telegram for Command and Control (C2) communications or data exfiltration, such as Amnesia RAT.
avatar
Bhojraj Joshi@cybrbhojrajjoshi
avatar
Detections.ai Community
5 months ago
244207
This rule detects a specific HTTP POST request pattern associated with the Mirai botnet's check-in mechanism. It looks for HTTP POST requests to the '/report' URI with a body size between 21 and 99 bytes. A threshold of 10 such requests from the same source within 60 seconds triggers the alert, indicating potential botnet activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
003
Page 151 of 232