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>> Exam XDR-Analyst Question <<
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NEW QUESTION # 82
Which of the following best defines the Windows Registry as used by the Cortex XDR agent?
Answer: C
Explanation:
The Windows Registry is a hierarchical database that stores settings for the operating system and for applications that run on Windows. The registry contains information, settings, options, and other values for programs and hardware installed on all versions of Microsoft Windows operating systems. The registry is organized into five main sections, called hives, each of which contains keys, subkeys, and values. The Cortex XDR agent uses the registry to store its configuration, status, and logs, as well as to monitor and control the endpoint's security features. The Cortex XDR agent also allows you to run scripts that can read, write, or delete registry keys and values on the endpoint. Reference:
Windows Registry - Wikipedia
Registry Operations
NEW QUESTION # 83
What motivation do ransomware attackers have for returning access to systems once their victims have paid?
Answer: D
Explanation:
Ransomware attackers have a motivation to return access to systems once their victims have paid because they want to maintain their reputation and credibility. If they fail to restore access to systems, they risk losing the trust of future victims who may not believe that paying the ransom will result in getting their data back. This would reduce the effectiveness and profitability of their scheme. Therefore, ransomware attackers have an incentive to honor their promises and decrypt the data after receiving the ransom. Reference:
What is the motivation behind ransomware? | Foresite
As Ransomware Attackers' Motives Change, So Should Your Defense - Forbes
NEW QUESTION # 84
Which of the following represents a common sequence of cyber-attack tactics?
Answer: B
Explanation:
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.
Reference:
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.
NEW QUESTION # 85
As a Malware Analyst working with Cortex XDR you notice an alert suggesting that there was a prevented attempt to open a malicious Word document. You learn from the WildFire report and AutoFocus that this document is known to have been used in Phishing campaigns since 2018. What steps can you take to ensure that the same document is not opened by other users in your organization protected by the Cortex XDR agent?
Answer: A
Explanation:
The correct answer is B, create Behavioral Threat Protection (BTP) rules to recognize and prevent the activity. BTP rules are a powerful feature of Cortex XDR that allow you to define custom rules to detect and block malicious behaviors on endpoints. You can use BTP rules to create indicators of compromise (IOCs) based on file attributes, registry keys, processes, network connections, and other criteria. By creating BTP rules, you can prevent the same malicious Word document from being opened by other users in your organization, even if the document has a different name or hash value. BTP rules are updated through content updates and can be managed from the Cortex XDR console.
The other options are incorrect for the following reasons:
A is incorrect because enabling DLL Protection on all endpoints is not a specific or effective way to prevent the malicious Word document. DLL Protection is a feature of Cortex XDR that prevents the loading of unsigned or untrusted DLLs by protected processes. However, this feature does not apply to Word documents or macros, and may cause false positives or compatibility issues with legitimate applications.
C is incorrect because relying on Cortex to share IOCs with the Cyber Threat Alliance members is not a proactive or sufficient way to prevent the malicious Word document. The Cyber Threat Alliance is a group of cybersecurity vendors that share threat intelligence and best practices to improve their products and services. However, not all vendors are members of the alliance, and not all IOCs are shared or updated in a timely manner. Therefore, you cannot assume that other users in your organization are protected by the same IOCs as Cortex XDR.
D is incorrect because doing nothing is not a responsible or secure way to prevent the malicious Word document. Even though Cortex XDR agent prevented the attempt to open the document on one endpoint, it does not mean that the document is no longer a threat. The document may still be circulating in your network or email system, and may be opened by other users who have different agent profiles or policies. Therefore, you should take steps to identify and block the document across your organization.
Reference:
Cortex XDR Agent Administrator Guide: Behavioral Threat Protection
Cortex XDR Agent Administrator Guide: DLL Protection
Palo Alto Networks: Cyber Threat Alliance
NEW QUESTION # 86
What is the difference between presets and datasets in XQL?
Answer: A
Explanation:
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 your analysis. You can use presets with any Cortex data lake data source, but not with third-party data sources. Reference:
Datasets and Presets
XQL Language Reference
NEW QUESTION # 87
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