Splunk Security
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The following analytic identifies URL requests associated with CVE-2022-22965 (Spring4Shell) exploitation attempts, specifically targeting webshell access on a remote webserver. It detects HTTP GET requests with URLs containing ".jsp?cmd=" or "j&cmd=" patterns. This activity is significant as it indicates potential webshell deployment, which can lead to unauthorized remote command execution. If confirmed malicious, attackers could gain control over the webserver, execute arbitrary commands, and potentially escalate privileges, leading to severe data breaches and system compromise.
The analytic detects the execution of `powershell.exe` with command-line arguments that query for domain groups using `Get-DomainGroup`. This activity is often associated with PowerView, a tool used by adversaries for domain enumeration and situational awareness. Detecting this can help identify attackers gaining insights into domain group structures, which could aid in further exploitation and privilege escalation.
The analytic detects the execution of `powershell.exe` with command-line arguments that utilize the `Get-WmiObject` cmdlet and the `Win32_UserAccount` parameter to query local user accounts. This activity is significant as it may indicate an attempt by adversaries to enumerate user accounts for situational awareness or Active Directory discovery. If confirmed malicious, this behavior could lead to further reconnaissance, privilege escalation, or lateral movement within the network.
The analytic detects the execution of JScript using the cscript.exe process. This behavior is significant because JScript files are typically executed by wscript.exe, making cscript.exe execution unusual and potentially indicative of malicious activity, such as the FIN7 group's tactics. If confirmed malicious, this activity could allow attackers to execute arbitrary scripts, leading to code execution, data exfiltration, or further system compromise.
This analytic identifies the resizing of shadow storage volumes, a technique used by ransomware like CLOP to prevent the recreation of shadow volumes. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving "vssadmin.exe" with parameters related to resizing shadow storage. This activity is significant as it indicates an attempt to hinder recovery efforts by manipulating shadow copies. If confirmed malicious, this could lead to successful ransomware deployment, making data recovery difficult and increasing the potential for data loss.
The analytic detects the execution of a Windows Scheduled Task on demand via the shell or command line. It leverages process-related data, including process name, parent process, and command-line executions, sourced from endpoint logs. The detection focuses on 'schtasks.exe' with an associated 'run' command. This activity is significant as adversaries often use it to force the execution of their created Scheduled Tasks for persistent access or lateral movement within a compromised machine. If confirmed malicious, this could allow attackers to maintain persistence or move laterally within the network, potentially leading to further compromise.
The analytic detects the Microsoft Software Licensing User Interface Tool (`slui.exe`) spawning a child process. This behavior is identified using Endpoint Detection and Response (EDR) telemetry, focusing on process creation events where `slui.exe` is the parent process. This activity is significant because `slui.exe` should not typically spawn child processes, and doing so may indicate a UAC bypass attempt, leading to elevated privileges. If confirmed malicious, an attacker could leverage this to execute code with elevated privileges, potentially compromising the system's security and gaining unauthorized access.
The following analytic identifies the execution of the dxdiag.exe process with specific command-line arguments, which is used to gather system information. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line details. This activity is significant because dxdiag.exe is rarely used in corporate environments and its execution may indicate reconnaissance efforts by malicious actors. If confirmed malicious, this activity could allow attackers to collect detailed system information, aiding in further exploitation or lateral movement within the network.
The analytic identifies unusually long command lines executed on hosts, which may indicate malicious activity. It leverages the Machine Learning Toolkit (MLTK) to detect command lines with lengths that deviate from the norm for a given user. This is significant for a SOC as unusually long command lines can be a sign of obfuscation or complex malicious scripts. If confirmed malicious, this activity could allow attackers to execute sophisticated commands, potentially leading to unauthorized access, data exfiltration, or further compromise of the system.
The following analytic detects the spawning of cmd or PowerShell processes by the wermgr.exe process. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process telemetry, including parent-child process relationships and command-line executions. This behavior is significant as it is commonly associated with code injection techniques used by malware like TrickBot to execute shellcode or malicious DLL modules. If confirmed malicious, this activity could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a severe threat to system security.
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