Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic identifies the use of Ldifde.exe, a command-line utility for creating, modifying, or deleting LDAP directory objects. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution and command-line arguments. Monitoring Ldifde.exe is significant because it can be used by attackers to manipulate directory objects, potentially leading to unauthorized changes or data exfiltration. If confirmed malicious, this activity could allow an attacker to gain control over directory services, escalate privileges, or access sensitive information within the network.
The following analytic identifies network share discovery and collection activities performed on Windows systems using the Net command. Attackers often use network share discovery to identify accessible shared resources within a network, which can be a precursor to privilege escalation or data exfiltration. By monitoring Windows Event Logs for the usage of the Net command to list and interact with network shares, this detection helps identify potential reconnaissance and collection activities.
The analytic identifies the execution of `wmic.exe` with command-line arguments used to discover domain controllers in a Windows domain. This activity is commonly used by adversaries and Red Teams for situational awareness and Active Directory discovery. If confirmed malicious, this behavior could allow attackers to map out the network, identify key systems, and plan further attacks, potentially leading to unauthorized access and data exfiltration.
The following analytic detects the execution of `wmic.exe` with command-line arguments querying specific elevated domain groups. It leverages Endpoint Detection and Response (EDR) telemetry to identify processes that access the LDAP namespace and search for groups like "Domain Admins" or "Enterprise Admins." This activity is significant as it indicates potential reconnaissance efforts by adversaries to identify high-privilege accounts within Active Directory. If confirmed malicious, this behavior could lead to privilege escalation, allowing attackers to gain elevated access and control over critical network resources.
The following analytic detects the execution of the `Get-AdUser` PowerShell cmdlet, which is used to enumerate all domain users. It leverages PowerShell Script Block Logging (EventCode=4104) to identify instances where this command is executed with a filter. This activity is significant as it may indicate an attempt by adversaries or Red Teams to gather information about domain users for situational awareness and Active Directory discovery. If confirmed malicious, this behavior could lead to further reconnaissance and potential exploitation of user accounts within the domain.
The analytic detects the execution of `powershell.exe` with the `Get-AdComputer` commandlet, which is used to discover remote systems within a domain. This activity indicates potential reconnaissance efforts by adversaries to map out domain computers, which is a common step in the attack lifecycle. If confirmed malicious, this behavior could allow attackers to gain situational awareness and plan further attacks, potentially leading to unauthorized access and data exfiltration.
This analytic detects the execution of `powershell.exe` with the `Get-AdGroup` commandlet, which is used to query domain groups in a Windows Domain. This activity may indicate an adversary or Red Team enumerating domain groups for situational awareness and Active Directory discovery. If confirmed malicious, this activity could lead to further reconnaissance, privilege escalation, or lateral movement within the network.
The analytic detects the execution of `powershell.exe` with the `Get-DomainController` command, which is used to discover remote systems within a Windows domain. This activity may indicate an attempt to enumerate domain controllers, a common tactic in Active Directory discovery. If confirmed malicious, this activity could allow attackers to gain situational awareness, potentially leading to further exploitation and lateral movement within the network.
The analytic identifies the use of the 'kmod' process to list kernel modules on a Linux system. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. While listing kernel modules is not inherently malicious, it can be a precursor to loading unauthorized modules using 'insmod'. If confirmed malicious, this activity could allow an attacker to load kernel modules, potentially leading to privilege escalation, persistence, or other malicious actions within the system.
The following analytic identifies the execution of `nltest.exe` with command-line arguments `/domain_trusts` or `/all_trusts` to query Domain Trust information. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant as it indicates potential reconnaissance efforts by adversaries to understand domain trust relationships, which can inform their lateral movement strategies. If confirmed malicious, this activity could enable attackers to map out trusted domains, facilitating further compromise and pivoting within the network.
The analytic detects the execution of suspicious bash commands commonly used in scripts like AutoSUID, LinEnum, and LinPeas for system discovery on a Linux host. It leverages Endpoint Detection and Response (EDR) data, specifically looking for a high number of distinct commands executed within a short time frame. This activity is significant as it often precedes privilege escalation or other malicious actions. If confirmed malicious, an attacker could gain detailed system information, identify vulnerabilities, and potentially escalate privileges, posing a severe threat to the environment.
The analytic detects the execution of `query.exe` with command-line arguments aimed at discovering logged-in users. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as adversaries may use `query.exe` to gain situational awareness and perform Active Directory discovery on compromised endpoints. If confirmed malicious, this behavior could allow attackers to identify active users, aiding in further lateral movement and privilege escalation within the network.
The analytic detects the execution of the `Find-InterestingDomainAcl` cmdlet, which is part of the PowerView toolkit. This cmdlet is used to identify misconfigured or unusual Access Control Lists (ACLs) within a domain. Adversaries may use this to find privilege escalation opportunities or weak security configurations in Active Directory, potentially leading to unauthorized access or further exploitation.
The analytic detects a high volume of Kerberos service ticket requests (more than 30) from a single source within a 5-minute window, specifically focusing on requests with computer names as the Service Name (Event ID 4769). This behavior may indicate malicious activities such as lateral movement, malware staging, or reconnaissance, potentially leading to unauthorized access and network compromise.
This analytic identifies suspicious command-line activity where `cmd.exe` is used to fetch environment variables via the `set` command, but the parent process is not a typical shell like `cmd.exe`, `explorer.exe`, or `powershell`. This behavior is often observed in malware, such as Qakbot, to gather system information. Detection of this activity could indicate a compromised parent process, potentially leading to further malicious actions like arbitrary command execution, privilege escalation, or persistence.
The analytic detects the use of the `[Adsisearcher]` type accelerator in PowerShell to query Active Directory for root domain linked policies. This activity is identified by leveraging PowerShell Script Block Logging (EventCode=4104) and looking for specific keywords like `[adsisearcher]`, `SearchRooT`, and `gplink`. This behavior is significant as it may indicate an attempt by adversaries or Red Teams to gain situational awareness and perform Active Directory Discovery, potentially aiding in further exploitation or lateral movement within the network.
The following analytic identifies the execution of tools built by NirSoft by detecting specific command-line arguments such as "/stext" and "/scomma". It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and command-line executions. This activity is significant because NirSoft tools, while legitimate, can be exploited by attackers for malicious purposes such as credential theft or system reconnaissance. If confirmed malicious, this activity could lead to unauthorized access, data exfiltration, or further compromise of the affected system.
The analytic detects the execution of `powershell.exe` or `cmd.exe` with command-line arguments that include `Get-ADUser` and `*-filter*`. This activity indicates an attempt to enumerate domain users, which is a common reconnaissance technique used by adversaries to gather information about Active Directory users for situational awareness and to identify high-value targets for subsequent attacks.
The analytic detects the execution of the Get-ForestTrust command via PowerShell or cmd.exe. This command is commonly used by adversaries to gather domain trust information, which is a reconnaissance effort to map out domain trusts. Identifying this activity is crucial as it indicates potential reconnaissance efforts to map out domain trusts, which can inform further attacks. If confirmed malicious, this activity could allow attackers to understand domain relationships, aiding in lateral movement and privilege escalation within the network.
The analytic detects the execution of `powershell.exe` with command-line arguments used to query domain users via the `Get-WmiObject` cmdlet and `-class ds_user` parameter. This activity indicates potential reconnaissance efforts by adversaries to enumerate domain users, which is a common step in Active Directory Discovery. If confirmed malicious, this could lead to further attacks, including privilege escalation and lateral movement within the network.
The following analytic detects the execution of the Windows built-in tool netsh.exe to display the state, configuration, and profile of the host firewall. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. Monitoring this activity is crucial as netsh.exe can be used by adversaries to bypass firewall rules or discover firewall settings. If confirmed malicious, this activity could allow attackers to manipulate firewall configurations, potentially leading to unauthorized network access or data exfiltration.
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