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Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the use of net.exe or net1.exe command-line to delete a user account on a system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line execution logs. This activity is significant as it may indicate an attempt to impair user accounts or cover tracks during lateral movement. If confirmed malicious, this could lead to unauthorized access removal, disruption of legitimate user activities, or concealment of adversarial actions, complicating incident response and forensic investigations.
Detects uses of the SysInternals ProcDump utility in which ProcDump or its output (specifically LSASS memory dumps) get renamed, or a dump file is moved or copied to a different name. This behavior is often used by adversaries to evade detection when performing credential dumping.
Detects suspicious child processes spawned by web servers, indicating potential webshell activity used for credential dumping, exfiltration, or other post-exploitation actions. The rule looks for specific command-line patterns and executables commonly associated with these malicious activities originating from known web server processes.
Detects the execution of 'createdump.exe' or a renamed version of it, specifically when used to dump process memory. The rule looks for the original internal filename 'FX_VER_INTERNALNAME_STR' and command-line arguments indicative of memory dumping, such as '-u' or '--full' combined with '-f' or '--name' and a '.dmp' extension. This technique is often used by adversaries to extract credentials from processes like LSASS.
Detects HandleKatz, a tool designed to duplicate the LSASS process handle with specific access rights (PROCESS_DUP_HANDLE, PROCESS_QUERY_LIMITED_INFORMATION, PROCESS_QUERY_INFORMATION) to later dump its memory without opening new handles. The detection logic focuses on the target image being 'lsass.exe', the specific granted access rights, and a suspicious call trace originating from ntdll.dll with an 'UNKNOWN' module.
This detection rule identifies the execution of uncommon or suspicious Remote Monitoring and Management (RMM) tools. While RMM tools are legitimate for IT administration, they are frequently abused by attackers, initial access brokers (IABs), and ransomware operators to establish persistent remote access, execute malicious commands, or deploy additional payloads. The rule specifically looks for process launches of various RMM software that might not be commonly observed in an environment, indicating potential unauthorized access or lateral movement. The list of RMM tools is informed by the LOL-RMM (Living Off the Land RMM) project.
This detection rule identifies the execution of WinPEAS (Windows Privilege Escalation Awesome Script), a post-exploitation reconnaissance tool used to discover privilege escalation paths on Windows systems. WinPEAS performs a wide range of local enumeration checks, including service misconfigurations, permission issues, token privileges, and more. Its usage is commonly observed during red team assessments and by adversaries seeking to elevate privileges after gaining initial access. The rule looks for common WinPEAS executable names, specific command-line arguments used by WinPEAS for various enumeration tasks, and patterns indicative of downloading WinPEAS PowerShell scripts from GitHub.
This detection rule identifies the execution of the Purple Knight tool, a free Active Directory security assessment utility developed by Semperis. Purple Knight is designed to scan for AD vulnerabilities, misconfigurations, and common attack paths. While it is a legitimate tool used by defenders, its execution in production environments may also indicate red team activity or unauthorized reconnaissance by adversaries attempting to map domain weaknesses.
This rule detects the execution of known Proof-of-Concept (PoC) executables for the ZeroLogon vulnerability (CVE-2020-1472). It specifically looks for `cmd.exe` spawning executables named `cool.exe` or `zero.exe` with command-line arguments indicating administrative context and execution flags. Additionally, it identifies subsequent actions such as `taskkill` commands or `powershell` execution, which are common post-exploitation activities after successful ZeroLogon exploitation.
Detects the execution of known attacker tools, specifically those associated with the IronSharpPack toolset. This rule identifies process launches where common command and scripting interpreters (cmd.exe, python, ipy.exe, powershell.exe, pwsh.exe, wsl.exe) are used to execute scripts or binaries with names indicative of IronSharpPack components. The presence of these tools in an unauthorized environment suggests malicious activity, often related to offensive security operations, post-exploitation, or privilege escalation.
Detects the clearing or configuration tampering of EventLog using utilities such as "wevtutil", "powershell" and "wmic". This technique is used by threat actors and ransomware strains to evade defenses by removing forensic evidence.
Detects the dropping and potential execution of DarkGate loader components, specifically AutoIt scripts (.au3) or compiled AutoIt executables (autoit3.exe), within the C:\temp directory. This activity is indicative of DarkGate malware infection attempts, often leveraging vulnerabilities like CVE-2024-21412.
Detects suspicious child processes spawned by the CrushFTP service that may indicate exploitation of remote code execution vulnerabilities such as CVE-2025-31161, where attackers can achieve RCE through crafted HTTP requests. The detection focuses on commonly abused Windows executables (like powershell.exe, cmd.exe etc.) that attackers typically use post-exploitation to execute malicious commands.
This rule detects attempts to gain 'PROCESS_ALL_ACCESS' rights to specific, commonly used Windows processes such as 'calc.exe', 'notepad.exe', and 'mspaint.exe'. Granting 'PROCESS_ALL_ACCESS' provides the requesting process with all possible access rights to the target process, which can be abused by malicious software for process injection, privilege escalation, or defense evasion.
Detects patterns found in process executions cause by China Chopper like tiny (ASPX) webshells
Detects certain parent child patterns found in cases in which a web shell is used to perform certain credential dumping or exfiltration activities on a compromised system
Detects exploitation of LNK file command-line length discrepancy, where attackers hide malicious commands beyond the 260-character UI limit while the actual command-line argument field supports 4096 characters using whitespace padding (e.g., 0x20, 0x09-0x0D). Adversaries insert non-printable whitespace characters (e.g., Line Feed \x0A, Carriage Return \x0D) to pad the visible section of the LNK file, pushing malicious commands past the UI-visible boundary. The hidden payload, executed at runtime but invisible in Windows Explorer properties, enables stealthy execution and evasion—commonly used for social engineering attacks. This rule flags suspicious use of such padding observed in real-world attacks.
WinPEAS is a script that search for possible paths to escalate privileges on Windows hosts. The checks are explained on book.hacktricks.xyz
This detection rule identifies the execution of the Purple Knight tool, a free Active Directory security assessment utility developed by Semperis. Purple Knight is designed to scan for AD vulnerabilities, misconfigurations, and common attack paths. While it is a legitimate tool used by defenders, its execution in production environments may also indicate red team activity or unauthorized reconnaissance by adversaries attempting to map domain weaknesses.
Detects the execution of known attacker tools, including but not limited to those in the IronSharpPack toolset. These tools are commonly used for offensive security operations and may indicate malicious activity if observed in unauthorized environments.
Detects when a shell program such as the Windows command prompt or PowerShell is launched with system privileges. This rule helps identify potential suspicious processes that have escalated privileges.
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