Splunk Security
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This analytic identifies suspicious process names using a pre-trained Deep Learning model. It analyzes Endpoint Detection and Response (EDR) telemetry to classify process names as benign or suspicious based on a threshold score. This detection is significant for identifying malware, such as TrickBot, which often uses randomly generated filenames to evade detection. If confirmed malicious, this activity could indicate the presence of malware capable of propagating across the network and executing harmful actions.
The following analytic detects the execution of a command to disable an existing scheduled task using 'schtasks.exe' with the '/change' and '/disable' parameters. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. Disabling scheduled tasks is significant as it is a common tactic used by adversaries, including malware like IcedID, to disable security applications and evade detection. If confirmed malicious, this activity could allow attackers to persist undetected, disable critical security defenses, and further compromise the targeted host.
This analytic detects modifications to the Windows registry that disable the display of hidden files. It specifically monitors changes to registry paths associated with hidden file settings. This activity is significant because malware often uses hidden files to evade detection. If confirmed malicious, this behavior could allow an attacker to conceal malicious files on the system, making it harder for security tools and analysts to identify and remove the threat.
The analytic identifies modifications to the Windows registry that disable Task Manager. It specifically looks for changes to the registry path "*\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Policies\\System\\DisableTaskMgr" with a value of "0x00000001". This activity is commonly associated with malware such as RATs, Trojans, and worms, which disable Task Manager to prevent users from terminating malicious processes, thereby maintaining persistence and control over the infected system.
The following analytic detects the use of procdump.exe to dump the LSASS process, specifically looking for the -mm and -ma command-line arguments. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, command-line executions, and parent processes. This activity is significant because dumping LSASS can expose sensitive credentials, posing a severe security risk. If confirmed malicious, an attacker could obtain credentials, escalate privileges, and move laterally within the network, leading to potential data breaches and further compromise of the environment.
The analytic detects the first occurrence of a Windows service running in the environment by leveraging Windows system event logs (EventCode 7036) to identify services entering the "running" state. The appearance of a new or previously unseen service could indicate the installation of unauthorized or malicious software, potentially allowing an attacker to execute arbitrary code, maintain persistence, or escalate privileges. Monitoring for new services aids in early detection of potential threats.
The analytic detects the execution of fodhelper.exe, which is known to exploit a User Account Control (UAC) bypass by leveraging specific registry keys. The detection method uses Endpoint Detection and Response (EDR) telemetry to identify when fodhelper.exe spawns a child process and accesses the registry keys. This activity is significant because it indicates a potential privilege escalation attempt by an attacker. If confirmed malicious, the attacker could execute commands with elevated privileges, leading to unauthorized system changes and potential full system compromise.
The analytic detects the execution of the `Get-ADUserResultantPasswordPolicy` PowerShell cmdlet, which is used to obtain the password policy in a Windows domain. This activity is identified by leveraging PowerShell Script Block Logging (EventCode=4104). Monitoring this behavior is significant as it may indicate an attempt to enumerate domain policies, a common tactic used by adversaries for situational awareness and Active Directory discovery. If confirmed malicious, this activity could allow attackers to understand password policies, aiding in further attacks such as password guessing or policy exploitation.
The analytic detects the creation of the /etc/at.allow or /etc/at.deny configuration files in Linux. These files control user permissions for the "at" scheduling application and can be abused by attackers to establish persistence. If confirmed malicious, this could allow unauthorized execution of malicious code, leading to potential data theft or further system compromise. Analysts should review the file path, creation time, and associated processes to assess the threat.
The following analytic detects the deletion of cron jobs on a Linux machine. It leverages filesystem event logs to identify when files within the "/etc/cron.*" directory are deleted. This activity is significant because attackers or malware may delete cron jobs to disable scheduled security tasks or evade detection mechanisms. If confirmed malicious, this action could allow an attacker to disrupt system operations, evade security measures, or facilitate further malicious activities such as data wiping, as seen with the acidrain malware.
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