Detections

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

18,128 detections

This rule detects the creation of a new domain trust via LDAP by looking for specific content in TCP traffic on port 389 (LDAP). It specifically targets HTTP POST requests containing "(objectClass=trustedDomain)" in the payload, indicating an attempt to establish a new trust relationship between domains.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects suspicious Azure AD sign-in activity where a user successfully signs in from multiple unusual cities within a 24-hour period. It specifically looks for sign-ins that are not from a trusted network and are not from a compliant device, aggregating successful sign-ins by UserPrincipalName and IpAddress, and flagging if there are 5 or more distinct cities.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects potential 'impossible travel' scenarios within Azure AD sign-in logs. It identifies users who successfully sign in to Office 365 from two geographically distant IP addresses within a one-hour window, suggesting a potential compromise or an attempt to bypass security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
This rule detects the string "flash write" in TCP network traffic flowing to a server, indicating a potential command to reflash component firmware. This activity could be associated with persistence techniques where an attacker modifies firmware to maintain access or control over a system.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects WinRAR extracting and launching HTML applications (mshta.exe) or script interpreters (wscript.exe/cscript.exe). This behavior is indicative of the CVE-2025-8088 exploit chain used by Gamaredon to deploy GammaPhish and GammaLoad.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
9031
This rule detects network traffic on TCP port 445 (SMB) containing the string 'lsasrv.dll' in a case-insensitive manner, indicating a potential attempt to modify the Domain Controller's authentication package. This activity is often associated with persistence techniques where an attacker modifies or replaces legitimate authentication packages to maintain access or elevate privileges.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects an attempt to exploit an unquoted service path vulnerability via an SMB file drop. Specifically, it looks for SMB traffic to port 445 on the home network containing the strings "Program Files" and ".exe" (case-insensitive). This pattern suggests an attacker might be dropping an executable file into a directory within "Program Files" that is part of an unquoted service path, which could lead to arbitrary code execution upon service restart.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to exploit DLL Search Order Hijacking vulnerabilities by monitoring SMB network traffic for requests containing '.dll' and '\AppData\' in the content. This pattern suggests an attacker might be attempting to drop a malicious DLL into a user's AppData directory on a network share, which could then be loaded by a legitimate application due to search order vulnerabilities, leading to persistence or execution of malicious code.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to hijack the PATH environment variable during an SSH session. It specifically looks for the string "export PATH=" within TCP traffic on port 22 (SSH), indicating a potential malicious modification of the PATH environment variable to control command execution paths.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to hijack the dynamic linker's LD_PRELOAD mechanism over an SSH connection. It specifically looks for the string "LD_PRELOAD" within TCP traffic on port 22 (SSH). This technique is often used by attackers for persistence or privilege escalation by injecting malicious libraries into legitimate processes.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to hijack macOS applications using malicious dynamic libraries (DYLIBs). It specifically looks for HTTP responses containing a URI with the ".dylib" extension and the content "__TEXT" within the file data, indicating a Mach-O executable segment. This combination suggests the delivery of a potentially malicious dynamic library designed for hijacking purposes on macOS systems.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects the execution of 'conhost.exe' with the '--headless' argument, specifically when initiated by 'pcalua.exe'. This combination has been observed in attacks by the GOLD BLADE threat group for indirect command execution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects DLL side-loading attacks where consent.exe loads known malicious DLLs (version.dll, rtworkq.dll, wmsgapi.dll, and the older msimg32.dll) from non-standard locations. This technique is used by Shanya-packed malware including EDR Killer and CastleRAT to load malicious payloads while appearing as a legitimate Windows UAC process.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects network traffic on port 445 (SMB) containing the strings "services.exe" and "ImagePath" (case-insensitive). This combination suggests an attempt to hijack the execution flow of a service by replacing its binary, specifically targeting the 'services.exe' process, which is a critical Windows component. The rule is designed to identify trojan activity related to persistence mechanisms.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to modify the shared library configuration file '/etc/ld.so' over an SSH connection. This activity is indicative of a shared library hijacking technique, often used for persistence or privilege escalation, where an attacker modifies the system's library loading paths to inject malicious libraries. The detection specifically looks for the string "/etc/ld.so" within TCP traffic destined for port 22 (SSH) on the home network.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects suspicious process injection attempts where common scripting/proxy execution tools (wscript.exe, cscript.exe, mshta.exe, powershell.exe, msiexec.exe) are used to inject into other processes (RegAsm.exe, InstallUtil.exe, vbc.exe, svchost.exe, explorer.exe) using CreateRemoteThread. The detection is further refined by looking for command-line indicators often associated with malicious activity, such as downloading content or executing scripts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
KQL Query from file: INC Ransomware Command Execution
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects suspicious command-line executions involving PowerShell or WMI, combined with network-related keywords (http, https, encodedcommand, FromBase64String), originating from common user applications like Microsoft Word (winword.exe) or Windows Explorer (explorer.exe). This pattern can indicate malicious activity such as script execution, download of payloads, or obfuscated command execution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects the presence of JavaScript obfuscation indicators such as 'atob(', 'Blob(', or 'URL.createObjectURL' in process command lines. These functions can be used by malicious scripts to decode or create objects from obfuscated data, often as part of a defense evasion strategy.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects suspicious process activity originating from WSMProvHost, suggesting potential lateral movement or remote command execution
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects execution chains where a suspicious DLL (autorun.dll) is loaded from user-controlled directories and followed by a silent MSI installation. This pattern is commonly associated with malware staging and secondary payload deployment.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
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