Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the execution of the RPM Package Manager with elevated privileges, specifically when it is used to run system commands as root via the `--eval` and `lua:os.execute` options. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. This activity is significant because it indicates a potential privilege escalation attempt, allowing a user to gain root access. If confirmed malicious, this could lead to full system compromise, unauthorized access to sensitive data, and further exploitation of the environment.
This analytic detects the creation of the "sudoers.tmp" file, which occurs when editing the /etc/sudoers file using visudo or another editor on a Linux platform. Monitoring this activity is crucial as adversaries may exploit it to gain elevated privileges on a compromised host. If confirmed malicious, this activity could allow attackers to modify sudoers configurations, potentially granting them unauthorized access to execute commands as other users, including root, thereby compromising the system's security.
The analytic detects the use of the Nishang Invoke-PowerShellTCPOneLine utility, which initiates a callback to a remote Command and Control (C2) server. It leverages Endpoint Detection and Response (EDR) data, focusing on PowerShell processes that include specific .NET classes like Net.Sockets.TCPClient and System.Text.ASCIIEncoding. This activity is significant as it indicates potential remote control or data exfiltration attempts by an attacker. If confirmed malicious, this could lead to unauthorized remote access, data theft, or further compromise of the affected 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 identifies processes with command-line parameters associated with web browser credential dumping tools, specifically targeting behaviors used by Remcos RAT malware. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and specific file paths. This activity is significant as it indicates potential credential theft, a common tactic in broader cyber-espionage campaigns. If confirmed malicious, attackers could gain unauthorized access to sensitive web credentials, leading to further system compromise and data breaches.
The following analytic identifies the presence of files containing the keyword "Ryuk" in any folder on the C drive, indicative of Ryuk ransomware activity. It leverages the Endpoint Filesystem data model to detect file paths matching this pattern. This activity is significant as Ryuk ransomware is known for its destructive impact, encrypting critical files and demanding ransom. If confirmed malicious, this could lead to significant data loss, operational disruption, and financial damage due to ransom payments and recovery efforts. Immediate investigation and response are crucial to mitigate potential damage.
The following analytic detects the execution of rundll32.exe with the DllRegisterServer command to load a DLL. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as it may indicate an attempt to register a malicious DLL, which can be a method for code execution or persistence. If confirmed malicious, an attacker could gain unauthorized code execution, escalate privileges, or maintain persistence within the environment, posing a severe security risk.
This analytic detects the creation of .wav files in the AppData\Roaming folder, a behavior associated with Remcos RAT malware. Remcos RAT is known to store audio recordings in this location for data exfiltration. The detection leverages endpoint process and filesystem data to identify this activity. This activity is significant as it indicates potential unauthorized data collection and exfiltration by malware, which could lead to sensitive information being sent to an attacker's command and control server, compromising the affected system's confidentiality.
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 following analytic identifies the execution of `auditpol.exe` with the "/set", "/option" and "/value:disable" command-line arguments used to disable specific auditing options of the audit policy. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity can be significant as it indicates potential defense evasion by adversaries or Red Teams, aiming to limit data that can be leveraged for detections and audits. If confirmed malicious, this behavior could allow attackers to bypass defenses, and plan further attacks, potentially leading to full machine compromise or lateral movement.
This analytic detects the use of the `sfc.exe` utility to stop the Immunet Protect service. The `sfc.exe` utility is part of Cisco Secure Endpoint installation. This detection leverages endpoint telemetry, focusing on command-line executions involving the `-k` parameter. This activity is significant as it indicates potential tampering with defensive mechanisms. If confirmed malicious, attackers could partially blind the EDR, enabling further compromise and lateral movement within the network.
The analytic detects the modification of the InProcServer32 registry key by reg.exe, indicative of potential COM hijacking. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line execution logs. COM hijacking is significant as it allows adversaries to insert malicious code that executes in place of legitimate software, providing a means for persistence. If confirmed malicious, this activity could enable attackers to execute arbitrary code, disrupt legitimate system components, and maintain long-term access to the compromised environment.
The following analytic detects the execution of the Windows OS tool cmdkey.exe, which is used to create stored usernames, passwords, or credentials. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant because cmdkey.exe is often abused by post-exploitation tools and malware, such as Darkgate, to gain unauthorized access. If confirmed malicious, this behavior could allow attackers to escalate privileges and maintain persistence on the targeted host, facilitating further attacks and potential data breaches.
The following analytic detects a suspicious registry modification that disables the logoff feature on a Windows host. It leverages data from the Endpoint.Registry data model to identify changes to specific registry values associated with logoff functionality. This activity is significant because it can indicate ransomware attempting to make the compromised host unusable and hinder remediation efforts. If confirmed malicious, this action could prevent users from logging off, complicate incident response, and allow attackers to maintain persistence and control over the affected system.
The following analytic detects suspicious registry modifications aimed at disabling Windows Group Policy features. It leverages data from the Endpoint.Registry data model, focusing on specific registry paths and values associated with disabling key Windows functionalities. This activity is significant because it is commonly used by ransomware to hinder mitigation and forensic response efforts. If confirmed malicious, this behavior could severely impair the ability of security teams to analyze and respond to the attack, allowing the attacker to maintain control and persist within the compromised environment.
This analytic detects suspicious registry modifications aimed at hiding common Windows notification features on a compromised host. It leverages data from the Endpoint.Registry data model, focusing on specific registry paths and values. This activity is significant as it is often used by ransomware to obscure visual indicators, increasing the impact of the attack. If confirmed malicious, this could prevent users from noticing critical system alerts, thereby aiding the attacker in maintaining persistence and furthering their malicious activities undetected.
The analytic identifies the use of protocol handlers executed via the command line. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. This activity is significant because protocol handlers can be exploited to execute arbitrary commands or launch applications, potentially leading to unauthorized actions. If confirmed malicious, an attacker could use this technique to gain code execution, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
The following analytic detects modifications to the Windows registry that disable Windows Defender Application Guard auditing. It leverages data from the Endpoint.Registry data model, focusing on specific registry paths and values. This activity is significant because disabling auditing can hinder security monitoring and threat detection within the isolated environment, making it easier for malicious activities to go unnoticed. If confirmed malicious, this action could allow attackers to bypass Windows Defender protections, potentially leading to unauthorized access, data exfiltration, or further system compromise.
The following analytic detects modifications to the Windows registry that set the Windows Defender SmartScreen level to "warn." This detection leverages data from the Endpoint.Registry data model, specifically monitoring changes to the ShellSmartScreenLevel registry value. This activity is significant because altering SmartScreen settings to "warn" can reduce immediate suspicion from users, allowing potentially malicious executables to run with just a warning prompt. If confirmed malicious, this could enable attackers to execute harmful files, increasing the risk of successful malware deployment and subsequent system compromise.
The analytic detects the execution of programs initiated by `forfiles.exe`. This command is typically used to run commands on multiple files, often within batch scripts. The detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where `forfiles.exe` is the parent process. This activity is significant because `forfiles.exe` can be exploited to bypass command line execution protections, making it a potential vector for malicious activity. If confirmed malicious, this could allow attackers to execute arbitrary commands, potentially leading to unauthorized access or further system 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.
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