Paloalto Networks PCDRA - Palo Alto Networks Certified Detection and Remediation Analyst

 A common sequence of cyber-attack tactics is based on the Cyber Kill Chain model, which describes the stages of a cyber intrusion from the perspective of the attacker. The Cyber Kill Chain model consists of seven phases: reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on the objective. These phases are briefly explained below:

Reconnaissance: The attacker gathers information about the target, such as its network, systems, vulnerabilities, employees, and business operations. The attacker may use various methods, such as scanning, phishing, or searching open sources, to collect data that can help them plan the attack.

Weaponization: The attacker creates or obtains a malicious payload, such as malware, exploit, or script, that can be used to compromise the target. The attacker may also embed the payload into a delivery mechanism, such as an email attachment, a web link, or a removable media.

Delivery: The attacker sends or delivers the weaponized payload to the target, either directly or indirectly. The attacker may use various channels, such as email, web, or physical access, to reach the target’s network or system.

Exploitation: The attacker exploits a vulnerability or weakness in the target’s network or system to execute the payload. The vulnerability may be technical, such as a software flaw, or human, such as a social engineering trick.

Installation: The attacker installs or drops additional malware or tools on the target’s network or system to establish a foothold and maintain persistence. The attacker may use various techniques, such as registry modification, file manipulation, or process injection, to hide their presence and evade detection.

Command and Control: The attacker establishes a communication channel between the compromised target and a remote server or controller. The attacker may use various protocols, such as HTTP, DNS, or IRC, to send commands and receive data from the target.

Actions on the objective: The attacker performs the final actions that achieve their goal, such as stealing data, destroying files, encrypting systems, or disrupting services. The attacker may also try to move laterally within the target’s network or system to access more resources or data.

References:

Cyber Kill Chain: This document explains the Cyber Kill Chain model and how it can be used to analyze and respond to cyberattacks.

Cyber Attack Tactics: This document provides an overview of some common cyber attack tactics and examples of how they are used by threat actors.

The difference between presets and datasets in XQL is that a dataset is a built-in or third-party data source, while a preset is a group of XDR data fields. A dataset is a collection of data that you can query and analyze using XQL. A dataset can be a Cortex data lake data source, such as endpoints, alerts, incidents, or network flows, or a third-party data source, such as AWS CloudTrail, Azure Activity Logs, or Google Cloud Audit Logs. A preset is a predefined set of XDR data fields that are relevant for a specific use case, such as process execution, file operations, or network activity. A preset can help you simplify and standardize your XQL queries by selecting the most important fields for youranalysis. You can use presets with any Cortex data lake data source, but not with third-party data sources. References:

Datasets and Presets

XQL Language Reference

 Unit 42 is the threat intelligence and response team of Palo Alto Networks. The purpose of Unit 42 is to collect and analyze the most up-to-date threat intelligence and apply it to respond to cyberattacks. Unit 42 is composed of world-renowned threat researchers, incident responders and security consultants who help organizations proactively manage cyber risk. Unit 42 is responsible for threat research, malware analysis and threat hunting, among other activities12.

Let’s briefly discuss the other options to provide a comprehensive explanation:

A. Unit 42 is not responsible for automation and orchestration of products. Automation and orchestration are capabilities that are provided by Palo Alto Networks products such as Cortex XSOAR, which is a security orchestration, automation and response platform that helps security teams automate tasks, coordinate actions and manage incidents3.

B. Unit 42 is not responsible for the configuration optimization of the Cortex XDR server. The Cortex XDR server is the cloud-based platform that provides detection and response capabilities across network, endpoint and cloud data sources. The configuration optimization of the Cortex XDR server is the responsibility of the Cortex XDR administrators, who can use the Cortex XDR app to manage the settings and policies of the Cortex XDR server4.

C. Unit 42 is not responsible for the rapid deployment of Cortex XDR agents. The Cortex XDR agents are the software components that are installed on endpoints to provide protection and visibility. The rapid deployment of Cortex XDR agents is the responsibility of the Cortex XDR administrators, who can use various methods such as group policy objects, scripts, or third-party tools to deploy the Cortex XDR agents to multiple endpoints5.

In conclusion, Unit 42 is the threat intelligence and response team of Palo Alto Networks that is responsible for threat research, malware analysis and threat hunting. By leveraging the expertise and insights of Unit 42, organizations can enhance their security posture and protect against the latest cyberthreats.

References:

About Unit 42: Our Mission and Team

Unit 42: Threat Intelligence & Response

Cortex XSOAR

Cortex XDR Pro Admin Guide: Manage Cortex XDR Settings and Policies

Cortex XDR Pro Admin Guide: Deploy Cortex XDR Agents

 You can star security events in Cortex XDR in two ways: manually star an alert or an incident, or create an alert-starring or incident-starring configuration. Starring security events helps you prioritize and track the events that are most important to you. You can also filter and sort the events by their star status in the Cortex XDR console.

To manually star an alert or an incident, you can use the star icon in the Alerts table or the Incidents table. You can also star an alert from the Causality View or the Query Center Results table. You can star an incident from the Incident View or the Query Center Results table. You can also unstar an event by clicking the star icon again.

To create an alert-starring or incident-starring configuration, you can use the Alert Starring Configuration or the Incident Starring Configuration pages in the Cortex XDR console. You can define the criteria for starring alerts or incidents based on their severity, category, source, or other attributes. You can also enable or disable the configurations as needed.

References:

Star Security Events

Create an Alert Starring Configuration

Create an Incident Starring Configuration

 Palo Alto Networks provides a set of precanned scripts that you can use to perform various actions on your endpoints, such as deleting files, killing processes, or quarantining malware. The precanned scripts are written in Python and are available in the Agent Script Library in the Cortex XDR console. You can use the precanned scripts as they are, or you can customize them to suit your needs. The precanned scripts are:

delete_file: Deletes a specific file from a local or removable drive.

quarantine_file: Moves a specific file from its location on a local or removable drive to a protected folder and prevents it from being executed.

process_kill_name: Kills a process by its name on the endpoint.

process_kill_pid: Kills a process by its process ID (PID) on the endpoint.

process_kill_tree: Kills a process and all its child processes by its name on the endpoint.

process_kill_tree_pid: Kills a process and all its child processes by its PID on the endpoint.

process_list: Lists all the processes running on the endpoint, along with their names, PIDs, and command lines.

process_list_tree: Lists all the processes running on the endpoint, along with their names, PIDs, command lines, and parent processes.

process_start: Starts a process on the endpoint by its name or path.

registry_delete_key: Deletes a registry key and all its subkeys and values from the Windows registry.

registry_delete_value: Deletes a registry value from the Windows registry.

registry_list_key: Lists all the subkeys and values under a registry key in the Windows registry.

registry_list_value: Lists the value and data of a registry value in the Windows registry.

registry_set_value: Sets the value and data of a registry value in the Windows registry.

The script list_directories is not a precanned script provided by Palo Alto Networks. It is a custom script that you can write yourself using Python commands.

References:

Run Scripts on an Endpoint

Agent Script Library

Precanned Scripts

A BIOC rule is a custom detection rule that uses the Cortex Query Language (XQL) to define the behavior or actions that indicate a potential threat. A BIOC rule can use the xdr_data and cloud_audit_log datasets and presets for these datasets. A BIOC rule can also use the filter stage, alter stage, and functions without any aggregations in the XQL query. The query must return a single field named action_process_image, which is the process image name of the suspicious process. The query must also include the event_type and event_sub_type fields in the filter stage to specify the type and sub-type of the event that triggers the rule.

Option B is the correct answer because it meets all the requirements for a valid BIOC rule query. It uses the xdr_data dataset, the filter stage, the event_type and event_sub_type fields, and the action_process_image_name field with a regular expression to match any process image name that ends with .pdf.exe or .docx.exe, which are common indicators of malicious files.

Option A is incorrect because it does not include the event_type field in the filter stage, which is mandatory for a BIOC rule query.

Option C is incorrect because it does not include the event_type and event_sub_type fields in the filter stage, and it uses the fields stage, which is not supported for a BIOC rule query. It also returns the action_process_image field instead of the action_process_image_name field, which is the expected output for a BIOC rule query.

Option D is incorrect because it uses the event_behavior field, which is not supported for a BIOC rule query. It also does not include the event_type field in the filter stage, and it uses the event_sub_type field incorrectly. The event_sub_type field should be equal to PROCESS_START, not true.

References:

Working with BIOCs

Cortex Query Language (XQL) Reference

 To add an exception to exclude a specific file hash from examination by the Malware profile for a Windows endpoint, you need to use the Action Center in Cortex XDR. The Action Center allows you to create and manage actions that apply to endpoints, such as adding files or processes to the allow list or block list, isolating or unisolating endpoints, or initiating live terminal sessions. To add a file hash to the allow list, you need to choose Allow list, select new action, select add to allow list, add your hash to the list, and apply it. This will prevent the Malware profile from scanning or blocking the file on the endpoints that match the scope of the action. References: Cortex XDR 3: Responding to Attacks1, Action Center2