How can you pivot within a row to Causality view and Timeline views for further investigate?
To pivot within a row to Causality view and Timeline views for further investigation, you can use the Open Card and Open Timeline actions respectively. The Open Card action will open a new tab with the Causality view of the selected row, showing the causal chain of events that led to the alert. The Open Timeline action will open a new tab with the Timeline view of the selected row, showing the chronological sequence of events that occurred on the affected endpoint. These actions allow you to drill down into the details of each alert and understand the root cause and impact of the incident.Reference:
Cortex XDR User Guide, Chapter 9: Investigate Alerts, Section: Pivot to Causality View and Timeline View
PCDRA Study Guide, Section 3: Investigate and Respond to Alerts, Objective 3.1: Investigate alerts using the Causality view and Timeline view
Which function describes the removal of a specific file from its location on a local or removable drive to a protected folder to prevent the file from being executed?
The function that describes the removal of a specific file from its location on a local or removable drive to a protected folder to prevent the file from being executed isquarantine. Quarantine is a feature of Cortex XDR that allows you to isolate malicious or suspicious files from the endpoint and prevent them from running or spreading. You can quarantine files manually from the Cortex XDR console, or automatically based on the malware analysis profile or the remediation suggestions. When you quarantine a file, the Cortex XDR agent encrypts the file and moves it to a hidden folder under the agent installation directory. The file is also renamed with a random string and a .quarantine extension. You can view, restore, or delete the quarantined files from the Cortex XDR console.Reference:
Manage Quarantined Files
To stop a network-based attack, any interference with a portion of the attack pattern is enough to prevent it from succeeding. Which statement is correct regarding the Cortex XDR Analytics module?
The correct statement regarding the Cortex XDR Analytics module is D, it interferes with the pattern as soon as it is observed on the endpoint. The Cortex XDR Analytics module is a feature of Cortex XDR that uses machine learning and behavioral analytics to detect and prevent network-based attacks on endpoints. The Cortex XDR Analytics module analyzes the network traffic and activity on the endpoint, and compares it with the attack patterns defined by Palo Alto Networks threat research team. The Cortex XDR Analytics module interferes with the attack pattern as soon as it is observed on the endpoint, by blocking the malicious network connection, process, or file. This way, the Cortex XDR Analytics module can stop the attack before it causes any damage or compromise.
The other statements are incorrect for the following reasons:
A is incorrect because the Cortex XDR Analytics module does interfere with the attack pattern on the endpoint, by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on the firewall or any other network device to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.
B is incorrect because the Cortex XDR Analytics module does not interfere with the attack pattern as soon as it is observed by the firewall. The Cortex XDR Analytics module does not depend on the firewall or any other network device to detect or prevent the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the analysis and interference. The firewall may not be able to observe or block the attack pattern if it is encrypted, obfuscated, or bypassed by the attacker.
C is incorrect because the Cortex XDR Analytics module does need to interfere with the attack pattern to prevent the attack. The Cortex XDR Analytics module does not only detect the attack pattern, but also prevents it from succeeding by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on any other response mechanism or human intervention to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.
Cortex XDR Analytics Module Detection and Prevention
Cortex XDR is deployed in the enterprise and you notice a cobalt strike attack via an ongoing supply chain compromise was prevented on 1 server. What steps can you take to ensure the same protection is extended to all your servers?
The best step to ensure the same protection is extended to all your servers is to create indicators of compromise (IOCs) of the malicious files you have found to prevent their execution. IOCs are pieces of information that indicate a potential threat or compromise on an endpoint, such as file hashes, IP addresses, domain names, or registry keys. You can create IOCs in Cortex XDR to block or alert on any file or network activity that matches the IOCs. By creating IOCs of the malicious files involved in the cobalt strike attack, you can prevent them from running or spreading on any of your servers.
The other options are not the best steps for the following reasons:
A is not the best step because conducting a thorough Endpoint Malware scan may not detect or prevent the cobalt strike attack if the malicious files are obfuscated, encrypted, or hidden. Endpoint Malware scan is a feature of Cortex XDR that allows you to scan endpoints for known malware and quarantine any malicious files found. However, Endpoint Malware scan may not be effective against unknown or advanced threats that use evasion techniques to avoid detection.
B is not the best step because enabling DLL Protection on all servers may cause some false positives and disrupt legitimate applications. DLL Protection is a feature of Cortex XDR that allows you to block or alert on any DLL loading activity that matches certain criteria, such as unsigned DLLs, DLLs loaded from network locations, or DLLs loaded by specific processes. However, DLL Protection may also block or alert on benign DLL loading activity that is part of normal system or application operations, resulting in false positives and performance issues.
C is not the best step because enabling Behavioral Threat Protection (BTP) with cytool may not prevent the attack from spreading if the malicious files are already on the endpoints or if the attack uses other methods to evade detection. Behavioral Threat Protection is a feature of Cortex XDR that allows you to block or alert on any endpoint behavior that matches certain patterns, such as ransomware, credential theft, or lateral movement. Cytool is a command-line tool that allows you to configure and manage the Cortex XDR agent on the endpoint. However, Behavioral Threat Protection may not prevent the attack from spreading if the malicious files are already on the endpoints or if the attack uses other methods to evade detection, such as encryption, obfuscation, or proxy servers.
What is the difference between presets and datasets in XQL?
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:
Sabra
13 days agoKaycee
24 days agoYoulanda
28 days agoJess
1 months agoRhea
1 months agoColetta
1 months agoElmer
2 months agoVirgilio
2 months agoCiara
2 months agoAlbina
3 months agoAleta
4 months agoTarra
4 months agoJoaquin
4 months agoGenevive
4 months agoDudley
4 months agoRebbecca
5 months agoFrance
5 months agoJeniffer
6 months ago