Splunk Security
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The following analytic identifies the creation of a .crmlog file within the %windows%\Registration directory, typically with a format of <RANDOM_GUID>.<RANDOM_GUID>.crmlog. This detection leverages the Endpoint.Filesystem datamodel to monitor file creation events in the specified directory. This activity is significant as it is associated with the Snake malware, which uses this file for its operations. If confirmed malicious, this could indicate the presence of Snake malware, leading to potential data exfiltration, system compromise, and further malicious activities. Immediate investigation is required to mitigate the threat.
The following analytic identifies modifications to the registry path .wav\\OpenWithProgIds, associated with the Snake Malware campaign. It leverages data from the Endpoint.Registry datamodel to detect changes in this specific registry location. This activity is significant because Snake's WerFault.exe uses this registry path to decrypt an encrypted blob containing critical components like the AES key, IV, and paths for its kernel driver and loader. If confirmed malicious, this could allow the attacker to load and execute Snake's kernel driver, leading to potential system compromise and persistent access.
The following analytic detects the use of the PowerShell cmdlet `export-pfxcertificate` on the command line, indicating an attempt to export a certificate from the local Windows Certificate Store. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant as it may indicate an attempt to exfiltrate authentication certificates, which can be used to impersonate users or decrypt sensitive data. If confirmed malicious, this could lead to unauthorized access and potential data breaches.
The following analytic detects the use of the decompile parameter with the HTML Help application (HH.exe). This behavior is identified through Endpoint Detection and Response (EDR) telemetry, focusing on command-line executions involving the decompile parameter. This activity is significant because it is an uncommon command and has been associated with APT41 campaigns, where it was used to unpack HTML help files for further malicious actions. If confirmed malicious, this technique could allow attackers to execute arbitrary commands, potentially leading to further compromise and persistence within the environment.
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.
The following analytic detects the execution of Syncappvpublishingserver.vbs via wscript.exe or cscript.exe, which may indicate an attempt to download remote files or perform privilege escalation. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. Monitoring this activity is crucial as it can signify malicious use of a native Windows script for unauthorized actions. If confirmed malicious, this behavior could lead to unauthorized file downloads or elevated privileges, posing a significant security risk.
The following analytic identifies the use of the w32tm.exe utility with the /stripchart function, which is indicative of DCRat malware delaying its payload execution. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific command-line arguments used by w32tm.exe. This activity is significant as it may indicate an attempt to evade detection by delaying malicious actions such as C2 communication and beaconing. If confirmed malicious, this behavior could allow an attacker to maintain persistence and execute further malicious activities undetected.
The following analytic detects the use of WMIC (Windows Management Instrumentation Command-line) for reconnaissance and system information discovery on Windows endpoints.
It identifies command-line queries targeting common Win32 WMI classes such as Win32_OperatingSystem, Win32_Processor, csproduct, Win32_DiskDrive, and Win32_PhysicalMemory, which are frequently leveraged to enumerate hardware, operating system details, and system configuration. Adversaries often use these queries during post-exploitation to fingerprint hosts, assess virtualization, and tailor follow-on activity. While WMIC usage can be legitimate for administrative and inventory tasks, suspicious or unexpected execution—particularly by non-administrative users or uncommon parent processes—may indicate malicious reconnaissance aligned with system discovery techniques.
It identifies command-line queries targeting common Win32 WMI classes such as Win32_OperatingSystem, Win32_Processor, csproduct, Win32_DiskDrive, and Win32_PhysicalMemory, which are frequently leveraged to enumerate hardware, operating system details, and system configuration. Adversaries often use these queries during post-exploitation to fingerprint hosts, assess virtualization, and tailor follow-on activity. While WMIC usage can be legitimate for administrative and inventory tasks, suspicious or unexpected execution—particularly by non-administrative users or uncommon parent processes—may indicate malicious reconnaissance aligned with system discovery techniques.
This analytic detects the use of WMIC to delete volume shadow copies, which is a common technique used by ransomware actors to prevent system recovery. Ransomware like Cactus often delete shadow copies before encrypting files to ensure victims cannot recover their data without paying the ransom. This behavior is particularly concerning as it indicates potential ransomware activity or malicious actors attempting to prevent system recovery.
The following analytic detects the execution of Windows Management Instrumentation Command-line (WMIC) commands used for computer system discovery on a Windows system. Specifically, it monitors for commands such as “wmic computersystem” that retrieve detailed information about the computer’s model, manufacturer, name, domain, and other system attributes. While these commands are commonly used by administrators for inventory and troubleshooting, they may also be exploited by adversaries to gain insight into the target environment during the reconnaissance phase of an attack. Identifying and alerting on WMIC computer system queries helps security teams recognize unauthorized information gathering and take steps to mitigate potential threats.
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