Splunk Security
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The following analytic detects the execution of Windows Management Instrumentation Command-line (WMIC) commands related to memory chip discovery on a Windows system. Specifically, it monitors instances where commands such as “wmic memorychip” are used to retrieve detailed information about installed RAM modules. While these commands can serve legitimate administrative and troubleshooting purposes, they may also be employed by adversaries to gather system hardware specifications as part of their reconnaissance activities. By identifying and alerting on WMIC memory chip queries, security teams can enhance their ability to spot unauthorized information gathering and take proactive measures to mitigate potential threats.
The following analytic identifies system information discovery techniques, such as the execution of commands like `wmic qfe`, `systeminfo`, and `hostname`. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. This activity is significant because attackers often use these commands to gather system configuration details, which can aid in further exploitation. If confirmed malicious, this behavior could allow attackers to tailor their attacks based on the discovered system information, potentially leading to privilege escalation, persistence, or data exfiltration.
The analytic detects the use of `cmd.exe /c` or `cmd.exe /k` to execute commands. This technique is often employed by adversaries and malware to run batch commands or invoke other shells like PowerShell. Monitoring this activity is crucial as it can indicate script-based attacks or unauthorized command execution. If confirmed malicious, this behavior could lead to unauthorized code execution, privilege escalation, or persistence within the environment.
The analytic identifies a possible non-common browser process accessing its browser user data profile. This tactic/technique has been observed in various Trojan Stealers, such as SnakeKeylogger, which attempt to gather sensitive browser information and credentials as part of their exfiltration strategy. Detecting this anomaly can serve as a valuable pivot for identifying processes that access lists of browser user data profiles unexpectedly. This detection uses a lookup file `browser_app_list` that maintains a list of well known browser applications and the browser paths that are allowed to access the browser user data profiles.
The following analytic identifies the use of `wmic.exe` to enumerate local groups on an endpoint. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs, including command-line details. Monitoring this activity is significant as it can indicate reconnaissance efforts by an attacker to understand group memberships, which could be a precursor to privilege escalation or lateral movement. If confirmed malicious, this activity could allow an attacker to map out privileged groups, aiding in further exploitation and persistence within the environment.
The analytic detects the execution of `dsquery.exe` with the `computer` argument, which is used to discover remote systems within a domain. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. Remote system discovery is significant as it indicates potential reconnaissance activities by adversaries or Red Teams to map out network resources and Active Directory structures. If confirmed malicious, this activity could lead to further exploitation, lateral movement, and unauthorized access to critical systems within the network.
The analytic detects the execution of `whoami.exe` without any arguments. This activity is significant because both Red Teams and adversaries use `whoami.exe` to identify the current logged-in user, aiding in situational awareness and Active Directory discovery. If confirmed malicious, this behavior could indicate an attacker is gathering information to further compromise the system, potentially leading to privilege escalation or lateral movement within the network.
The following analytic detects non-Chrome processes attempting to access the Chrome extensions file. It leverages Windows Security Event logs, specifically event code 4663, to identify this behavior. This activity is significant because adversaries may exploit this file to extract sensitive information from the Chrome browser, posing a security risk. If confirmed malicious, this could lead to unauthorized access to stored credentials and other sensitive data, potentially compromising the security of the affected system and broader network.
The following analytic detects the creation of a Scheduled Task with a high entropy, randomly generated name, leveraging Event ID 4698. It uses the `ut_shannon` function from the URL ToolBox Splunk application to measure the entropy of the Task Name. This activity is significant as adversaries often use randomly named Scheduled Tasks for lateral movement and remote code execution, employing tools like Impacket or CrackMapExec. If confirmed malicious, this could allow attackers to execute arbitrary code remotely, potentially leading to further compromise and persistence within the network.
The following analytic detects processes attempting to connect to known IP check web services. This behavior is identified using Sysmon EventCode 22 logs, specifically monitoring DNS queries to services like "wtfismyip.com" and "ipinfo.io". This activity is significant as it is commonly used by malware, such as Trickbot, for reconnaissance to determine the infected machine's IP address. If confirmed malicious, this could allow attackers to gather network information, aiding in further attacks or lateral movement within the network.
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