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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Incident Handling and Response | 34% | - Timeline analysis and causality chains - Incident closure and reporting - Response actions and automated remediation - Investigation workflows and evidence collection |
| Topic 2: Alerting and Detection Processes | 23% | - Alert types, sources and generation logic - Custom detection rules and exceptions - Alert grouping, data stitching and incident creation - Alert prioritization, scoring and tuning |
| Topic 3: Endpoint Security Management | 15% | - Cortex XDR architecture and components - Prevention profiles and policy management - Agent deployment, configuration and status validation - Content updates and version control |
| Topic 4: Data Analysis with XQL | 28% | - Threat hunting and IOC investigation - XQL query language fundamentals - Searching and filtering across data sources - Visualization and reporting |
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NEW QUESTION # 85
What is an example of an attack vector for ransomware?
Answer: D
Explanation:
An example of an attack vector for ransomware is phishing emails containing malicious attachments. Phishing is a technique that involves sending fraudulent emails that appear to come from a legitimate source, such as a bank, a company, or a government agency. The emails typically contain a malicious attachment, such as a PDF document, a ZIP archive, or a Microsoft Office document, that contains ransomware or a ransomware downloader. When the recipient opens or downloads the attachment, the ransomware is executed and encrypts the files or data on the victim's system. The attacker then demands a ransom for the decryption key, usually in cryptocurrency.
Phishing emails are one of the most common and effective ways of delivering ransomware, as they can bypass security measures such as firewalls, antivirus software, or URL filtering. Phishing emails can also exploit the human factor, as they can trick the recipient into opening the attachment by using social engineering techniques, such as impersonating a trusted sender, creating a sense of urgency, or appealing to curiosity or greed. Phishing emails can also target specific individuals or organizations, such as executives, employees, or customers, in a technique called spear phishing, which increases the chances of success.
According to various sources, phishing emails are the main vector of ransomware attacks, accounting for more than 90% of all ransomware infections12. Some of the most notorious ransomware campaigns, such as CryptoLocker, Locky, and WannaCry, have used phishing emails as their primary delivery method3 . Therefore, it is essential to educate users on how to recognize and avoid phishing emails, as well as to implement security solutions that can detect and block malicious attachments. Reference:
Top 7 Ransomware Attack Vectors & How to Avoid Becoming a Victim - Bitsight What Is the Main Vector of Ransomware Attacks? A Definitive Guide CryptoLocker Ransomware Information Guide and FAQ
[Locky Ransomware Information, Help Guide, and FAQ]
[WannaCry ransomware attack]
NEW QUESTION # 86
What motivation do ransomware attackers have for returning access to systems once their victims have paid?
Answer: B
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 # 87
A file is identified as malware by the Local Analysis module whereas WildFire verdict is Benign, Assuming WildFire is accurate. Which statement is correct for the incident?
Answer: B
Explanation:
A false positive is a situation where a file or activity is incorrectly identified as malicious by a security tool, when in fact it is benign or harmless. A false positive can cause unnecessary alerts, disruptions, or remediation actions, and reduce the confidence and efficiency of the security system. In this question, a file is identified as malware by the Local Analysis module, whereas WildFire verdict is Benign, assuming WildFire is accurate. This means that the Local Analysis module has made a mistake and flagged a legitimate file as malicious, while WildFire has correctly determined that the file is safe. Therefore, this is an example of a false positive. The Local Analysis module is a feature of the Cortex XDR agent that uses a static set of pattern-matching rules and a statistical model to determine if an unknown file is likely to be malware. The Local Analysis module can provide a fast and offline verdict for files that are not yet analyzed by WildFire, but it is not as accurate or comprehensive as WildFire, which uses dynamic analysis and machine learning to examine the behavior and characteristics of files in a sandbox environment. WildFire verdicts are considered more reliable and authoritative than Local Analysis verdicts, and can override them in case of a discrepancy. Therefore, if a file is identified as malware by the Local Analysis module, but as Benign by WildFire, the WildFire verdict should be trusted and the Local Analysis verdict should be disregarded123 Reference:
False positive (security) - Wikipedia
Local Analysis
WildFire Overview
NEW QUESTION # 88
With a Cortex XDR Prevent license, which objects are considered to be sensors?
Answer: A
Explanation:
The objects that are considered to be sensors with a Cortex XDR Prevent license are Cortex XDR agents and Palo Alto Networks Next-Generation Firewalls. These are the two sources of data that Cortex XDR can collect and analyze for threat detection and response. Cortex XDR agents are software components that run on endpoints, such as Windows, Linux, and Mac devices, and provide protection against malware, exploits, and fileless attacks. Cortex XDR agents also collect and send endpoint data, such as process activity, network traffic, registry changes, and user actions, to the Cortex Data Lake for analysis and correlation. Palo Alto Networks Next-Generation Firewalls are network security devices that provide visibility and control over network traffic, and enforce security policies based on applications, users, and content. Next-Generation Firewalls also collect and send network data, such as firewall logs, DNS logs, HTTP headers, and WildFire verdicts, to the Cortex Data Lake for analysis and correlation. By integrating data from both Cortex XDR agents and Next-Generation Firewalls, Cortex XDR can provide a comprehensive view of the attack surface and detect threats across the network and endpoint layers. Reference:
Cortex XDR Prevent License
Cortex XDR Agent Features
Next-Generation Firewall Features
NEW QUESTION # 89
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?
Answer: B
Explanation:
The engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident is the Causality Analysis Engine. The Causality Analysis Engine is one of the core components of Cortex XDR that performs advanced analytics on the data collected from various sources, such as endpoints, networks, and clouds. The Causality Analysis Engine uses machine learning and behavioral analysis to identify the root cause, the attack chain, and the impact of each alert. It also groups related alerts into incidents based on the temporal and logical relationships among the alerts. The Causality Analysis Engine helps to reduce the noise and complexity of alerts and incidents, and provides a clear and concise view of the attack story12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Sensor Engine: This is not the correct answer. The Sensor Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Sensor Engine is the component that runs on the Cortex XDR agents installed on the endpoints. The Sensor Engine collects and analyzes endpoint data, such as processes, files, registry keys, network connections, and user activities. The Sensor Engine also enforces the endpoint security policies and performs prevention and response actions3.
C . Log Stitching Engine: This is not the correct answer. The Log Stitching Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Log Stitching Engine is the component that runs on the Cortex Data Lake, which is the cloud-based data storage and processing platform for Cortex XDR. The Log Stitching Engine normalizes and stitches together the data from different sources, such as firewalls, proxies, endpoints, and clouds. The Log Stitching Engine enables Cortex XDR to correlate and analyze data from multiple sources and provide a unified view of the network activity and threat landscape4.
D . Causality Chain Engine: This is not the correct answer. Causality Chain Engine is not a valid name for any of the Cortex XDR engines. There is no such engine in Cortex XDR that performs the function of determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident.
In conclusion, the Causality Analysis Engine is the engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident. By using the Causality Analysis Engine, Cortex XDR can provide a comprehensive and accurate detection and response capability for security analysts.
Reference:
Cortex XDR Pro Admin Guide: Causality Analysis Engine
Cortex XDR Pro Admin Guide: View Incident Details
Cortex XDR Pro Admin Guide: Sensor Engine
Cortex XDR Pro Admin Guide: Log Stitching Engine
NEW QUESTION # 90
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