XDR-Analyst Palo Alto Networks XDR Analyst Questions and Answers

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.

Ransomware is a type of malicious software, or malware, that encrypts user files and prevents them from accessing their data until they pay a ransom. Ransomware can affect individual users, businesses, and organizations of all kinds. Ransomware attacks can cause costly disruptions, data loss, and reputational damage. Ransomware can spread through various methods, such as phishing emails, malicious attachments, compromised websites, or network vulnerabilities. Some ransomware variants can also self-propagate and infect other devices or networks. Ransomware authors typically demand payment in cryptocurrency or other untraceable methods, and may threaten to delete or expose the encrypted data if the ransom is not paid within a certain time frame. However, paying the ransom does not guarantee that the files will be decrypted or that the attackers will not target the victim again. Therefore, the best way to protect against ransomware is to prevent infection in the first place, and to have a backup of the data in case of an attack123456

 File Search and Destroy is a feature of Cortex XDR that allows you to search for and remove malicious files from endpoints. You can use this feature to find files by their hash, full path, or partial path using regex parameters. You can then select the files from the search results and destroy them by hash or by path. When you destroy a file by hash, all the file instances on the endpoint are removed. File Search and Destroy is useful for quickly responding to threats and preventing further damage. References:

Search and Destroy Malicious Files

Cortex XDR Pro Administrator Guide

The Wildfire analysis file size limit for Windows PE files is 100MB. Windows PE files are executable files that run on the Windows operating system, such as .exe, .dll, .sys, or .scr files. Wildfire is a cloud-based service that analyzes files and URLs for malicious behavior and generates signatures and protections for them. Wildfire can analyze various file types, such as PE, APK, PDF, MS Office, and others, but each file type has a different file size limit. The file size limit determines the maximum size of the file that can be uploaded or forwarded to Wildfire for analysis. If the file size exceeds the limit, Wildfire will not analyze the file and will return an error message.

According to the Wildfire documentation1, the file size limit for Windows PE files is 100MB. This means that any PE file that is larger than 100MB will not be analyzed by Wildfire. However, the firewall can still apply other security features, such as antivirus, anti-spyware, vulnerability protection, and file blocking, to the PE file based on the security policy settings. The firewall can also perform local analysis on the PE file using the Cortex XDR agent, which uses machine learning models to assess the file and assign it a verdict2.

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.

The Incident Management Dashboard provides a high-level overview of the incident response process, including the Mean Time to Resolution (MTTR) metric. This metric measures the average time it takes to resolve an incident from the moment it is created to the moment it is closed. The dashboard also shows the number of incidents by status, severity, and assigned analyst, as well as the top alerts by category, source, and destination. The Incident Management Dashboard is designed for executives and managers who want to monitor the performance and efficiency of their security teams. References: [PCDRA Study Guide], page 18.

 Cortex XDR agent for Windows prevents ransomware attacks from compromising the file system by utilizing decoy files. Decoy files are randomly generated files that are placed in strategic locations on the endpoint, such as the user’s desktop, documents, and pictures folders. These files are designed to look like valuable data that ransomware would target for encryption. When Cortex XDR agent detects that a process is attempting to access or modify a decoy file, it immediately blocks the process and alerts the administrator. This way, Cortex XDR agent can stop ransomware attacks before they can cause any damage to the real files on the endpoint. References:

Anti-Ransomware Protection

PCDRA Study Guide

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.

The best action to delete the file on the Linux endpoint is to initiate Remediation Suggestions from the Cortex XDR console. Remediation Suggestions are a feature of Cortex XDR that provide you with recommended actions to undo the effects of malicious activity on your endpoints. You can view the remediation suggestions for each alert or incident in the Cortex XDR console, and decide whether to apply them or not. Remediation Suggestions can help you restore the endpoint to its original state, remove malicious files or processes, or fix registry or system settings. Remediation Suggestions are based on the forensic data collected by the Cortex XDR agent and the analysis performed by Cortex XDR.

The other options are incorrect for the following reasons:

A is incorrect because manually remediating the problem on the endpoint is not a convenient or efficient way to delete the file. Manually remediating the problem would require you to access the endpoint directly, log in as root, locate the file, and delete it. This would also require you to have the necessary permissions and credentials to access the endpoint, and to know the exact path and name of the file. Manually remediating the problem would also not provide you with any audit trail or confirmation of the deletion.

B is incorrect because opening X2go from the Cortex XDR console is not a supported or secure way to delete the file. X2go is a third-party remote desktop software that allows you to access Linux endpoints from a graphical user interface. However, X2go is not integrated with Cortex XDR, and using it would require you to install and configure it on both the Cortex XDR console and the endpoint. Using X2go would also expose the endpoint to potential network attacks or unauthorized access, and would not provide you with any audit trail or confirmation of the deletion.

D is incorrect because opening an NFS connection from the Cortex XDR console is not a feasible or reliable way to delete the file. NFS is a network file system protocol that allows you to access files on remote servers as if they were local. However, NFS is not integrated with Cortex XDR, and using it would require you to set up and maintain an NFS server and client on both the Cortex XDR console and the endpoint. Using NFS would also depend on the network availability and performance, and would not provide you with any audit trail or confirmation of the deletion.

Cortex XDR allows you to create two types of exception profiles: agent exception profiles and global exception profiles. Agent exception profiles apply to specific endpoints that are assigned to the profile. Global exception profiles apply to all endpoints in your network. You can use exception profiles to configure different types of exceptions, such as process exceptions, support exceptions, behavioral threat protection rule exceptions, local analysis rules exceptions, advanced analysis exceptions, or digital signer exceptions. Exception profiles help you fine-tune the security policies for your endpoints and reduce false positives. References:

Exception Security Profiles

Create an Agent Exception Profile

Create a Global Exception Profile

JIT Mitigation is an Exploit Protection Module (EPM) that can be used to prevent attacks based on OS function. JIT Mitigation protects against exploits that use the Just-In-Time (JIT) compiler of the OS to execute malicious code. JIT Mitigation monitors the memory pages that are allocated by the JIT compiler and blocks any attempts to execute code from those pages. This prevents attackers from using the JIT compiler as a way to bypass other security mechanisms such as Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR). References:

Palo Alto Networks. (2023). PCDRA Study Guide. PDF file. Retrieved from https://www.paloaltonetworks.com/content/dam/pan/en_US/assets/pdf/datasheets/education/pcdra-study-guide.pdf

Palo Alto Networks. (2021). Exploit Protection Modules. Web page. Retrieved from https://docs.paloaltonetworks.com/traps/6-0/traps-endpoint-security-manager-admin/traps-endpoint-security-policies/exploit-protection-modules.html

 WildFire is a cloud-based service that accepts and analyses samples from various sources, including Cortex XDR, to provide a verdict of malware, benign, or grayware. WildFire also generates detailed analysis reports that show the behaviour and characteristics of the samples. Cortex XDR uses WildFire verdicts and reports to enhance its detection and prevention capabilities, as well as to provide more visibility and context into the threats. References:

WildFire Analysis Concepts

WildFire Overview

 The ultimate goal of any exploit is to reach the kernel, which is the core component of the operating system that has the highest level of privileges and access to the hardware resources. Application exploits are attacks that target vulnerabilities in specific applications, such as web browsers, email clients, or office suites. Kernel exploits are attacks that target vulnerabilities in the kernel itself, such as memory corruption, privilege escalation, or code execution. Kernel exploits are more difficult to prevent and detect than application exploits, because they can bypass security mechanisms and hide their presence from the user and the system. References:

Palo Alto Networks Certified Detection and Remediation Analyst (PCDRA) Study Guide, page 8

Palo Alto Networks Cortex XDR Documentation, Exploit Protection Overview

The type of BIOC rule that is currently available in Cortex XDR is Discovery. A Discovery BIOC rule is a rule that detects suspicious or malicious behavior on endpoints based on the Cortex XDR data. A Discovery BIOC rule can use various event types, such as file, injection, load image, network, process, registry, or user, to define the criteria for the rule. A Discovery BIOC rule can also use operators, functions, and variables to create complex logic and conditions for the rule. A Discovery BIOC rule can generate alerts when the rule is triggered, and these alerts can be grouped into incidents for further investigation and response12.

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

A. Threat Actor: This is not the correct answer. Threat Actor is not a type of BIOC rule that is currently available in Cortex XDR. Threat Actor is a term that refers to an individual or a group that is responsible for a cyberattack or a threat campaign. Cortex XDR does not support creating BIOC rules based on threat actors, but it can provide threat intelligence and context from various sources, such as Unit 42, AutoFocus, or Cortex XSOAR3.

C. Network: This is not the correct answer. Network is not a type of BIOC rule that is currently available in Cortex XDR. Network is an event type that can be used in a Discovery BIOC rule to define the criteria based on network attributes, such as source IP, destination IP, source port, destination port, protocol, or domain. Network is not a standalone type of BIOC rule, but a part of the Discovery BIOC rule2.

D. Dropper: This is not the correct answer. Dropper is not a type of BIOC rule that is currently available in Cortex XDR. Dropper is a term that refers to a type of malware that is designed to download and install other malicious files or programs on a compromised system. Cortex XDR does not support creating BIOC rules based on droppers, but it can detect and prevent droppers using various methods, such as behavioral threat protection, exploit prevention, or WildFire analysis4.

In conclusion, the type of BIOC rule that is currently available in Cortex XDR is Discovery. By using Discovery BIOC rules, you can create custom detection rules that match your specific use cases and scenarios.

The outcome of creating and implementing an alert exclusion is that the Cortex XDR console will hide those alerts that match the exclusion criteria. An alert exclusion is a policy that allows you to filter out alerts that are not relevant, false positives, or low priority, and focus on the alerts that require your attention. When you create an alert exclusion, you can specify the criteria that define which alerts you want to exclude, such as alert name, severity, source, or endpoint. After you create an alert exclusion, Cortex XDR will hide any future alerts that match the criteria, and exclude them from incidents and search query results. However, the alert exclusion does not affect the behavior of the Cortex XDR agent or the security policy on the endpoint. The Cortex XDR agent will still create an alert for the event and apply the appropriate action, such as blocking or quarantining, according to the security policy. The alert exclusion only affects the visibility of the alert on the Cortex XDR console, not the actual protection of the endpoint. Therefore, the correct answer is B, the Cortex XDR console will hide those alerts12

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. References:

Datasets and Presets

XQL Language Reference

 The output shows the top 10 hosts with the most malware in the last 30 days, based on the Cortex XDR data. The output is sorted by the number of incidents, with the host with the most incidents at the top. The output also shows the number of alerts, the number of endpoints, and the percentage of endpoints for each host. The output is generated by using the ACC (Application Command Center) feature of Cortex XDR, which provides a graphical representation of the network activity and threat landscape. The ACC allows you to view and analyze various widgets, such as the Top 10 hosts with the most malware, the Top 10 applications by bandwidth, the Top 10 threats by count, and more .

The purpose of the Cortex Data Lake is to provide a cloud-based storage facility where your firewall logs are stored. Cortex Data Lake is a service that collects, transforms, and integrates your enterprise’s security data to enable Palo Alto Networks solutions. It powers AI and machine learning, detection accuracy, and app and service innovation. Cortex Data Lake automatically collects, integrates, and normalizes data across your security infrastructure, including your next-generation firewalls, Prisma Access, and Cortex XDR. With unified data, you can run advanced AI and machine learning to radically simplify security operations with apps built on Cortex. Cortex Data Lake is available in multiple regions and supports data residency and privacy requirements. References:

Cortex Data Lake - Palo Alto Networks

Cortex Data Lake - Palo Alto Networks

Cortex Data Lake, the technology behind Cortex XDR - Palo Alto Networks

CORTEX DATA LAKE - Palo Alto Networks

Sizing for Cortex Data Lake Storage - Palo Alto Networks

 Live terminal uses Python 3 with standard Python libraries to run Python commands and scripts on the endpoint. Live terminal does not support Python 2 or any custom or external Python libraries. Live terminal uses the Python interpreter embedded in the Cortex XDR agent, which is based on Python 3.7.4. The standard Python libraries are the modules that are included with the Python installation and provide a wide range of functionalities, such as operating system interfaces, network programming, data processing, and more. You can use the Python commands and scripts to perform advanced tasks or automation on the endpoint, such as querying system information, modifying files or registry keys, or running other applications. References:

Run Python Commands and Scripts

Python Standard Library

To ensure that the same protection is extended to all your servers, you need to create Behavioral Threat Protection (BTP) rules to recognize and prevent the activity. BTP is a feature of Cortex XDR that allows you to create custom rules that detect and block malicious or suspicious behaviors on your endpoints, such as file execution, process injection, network connection, or registry modification. BTP rules can use various operators, functions, and variables to define the criteria and the actions for the rules. By creating BTP rules that match the behaviors of the supply chain attack, you can prevent the attack from compromising your servers12.

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

B. Enable DLL Protection on all servers but there might be some false positives: This is not the correct answer. Enabling DLL Protection on all servers will not ensure that the same protection is extended to all your servers. DLL Protection is a feature of Cortex XDR that allows you to block the execution of unsigned or untrusted DLL files on your endpoints. DLL Protection can help to prevent some types of attacks that use malicious DLL files, but it may not be effective against the supply chain attack that used a Trojanized DLL file that was digitally signed by a trusted vendor. DLL Protection may also cause some false positives, as it may block some legitimate DLL files that are unsigned or untrusted3.

C. Create IOCs of the malicious files you have found to prevent their execution: This is not the correct answer. Creating IOCs of the malicious files you have found will not ensure that the same protection is extended to all your servers. IOCs are indicators of compromise that you can create to detect and respond to known threats on your endpoints, such as file hashes, registry keys, IP addresses, domain names, or full paths. IOCs can help to identify and block the malicious files that you have already discovered, but they may not be effective against the supply chain attack that used different variants of the malicious files with different hashes or names. IOCs may also become outdated, as the attackers may change or update their files to evade detection4.

D. Enable Behavioral Threat Protection (BTP) with cytool to prevent the attack from spreading: This is not the correct answer. Enabling BTP with cytool will not ensure that the same protection is extended to all your servers. BTP is a feature of Cortex XDR that allows you to create custom rules that detect and block malicious or suspicious behaviors on your endpoints, such as file execution, process injection, network connection, or registry modification. BTP rules can help to prevent the attack from spreading, but they need to be created and configured in the Cortex XDR app, not with cytool. Cytool is a command-line tool that allows you to perform various operations on the Cortex XDR agent, such as installing, uninstalling, upgrading, or troubleshooting. Cytool does not have an option to enable or configure BTP rules.

In conclusion, to ensure that the same protection is extended to all your servers, you need to create BTP rules to recognize and prevent the activity. By using BTP rules, you can create custom and flexible prevention rules that match the behaviors of the supply chain attack.

Cortex XDR allows you to define IOC rules based on various types of indicators of compromise (IOC) that you can use to detect and respond to threats in your network. One of the types of IOC that you can define in Cortex XDR is destination IP address, which is the IP address of the remote host that a local endpoint is communicating with. You can use this type of IOC to identify malicious network activity, such as connections to command and control servers, phishing sites, or malware distribution hosts. You can also specify the direction of the network traffic (inbound or outbound) and the protocol (TCP or UDP) for the destination IP address IOC. References:

Cortex XDR documentation portal

Is there a possibility to create an IOC list to employ it in a query?

Cortex XDR Datasheet

The kind of malware that uses encryption, data theft, denial of service, and possibly harassment to take advantage of a victim is ransomware. Ransomware is a type of malware that encrypts the victim’s files or blocks access to their system, and then demands a ransom for the decryption key or the restoration of access. Ransomware can also threaten to expose or delete the victim’s data if the ransom is not paid. Ransomware can cause significant damage and disruption to individuals, businesses, and organizations, and can be difficult to remove or recover from. Some examples of ransomware are CryptoLocker, WannaCry, Ryuk, and REvil.

 A successful exploit is a piece of software or code that takes advantage of a vulnerability and executes malicious actions on the target system. A vulnerability is a weakness or flaw in a software or hardware component that can be exploited by an attacker. A successful exploit is one that achieves its intended goal, such as gaining unauthorized access, executing arbitrary code, escalating privileges, or compromising data.

In the given options, only B is an example of a successful exploit, because it involves a user executing code that exploits a vulnerability on a local service, such as a web server, a database, or a network protocol. This could allow the attacker to gain control over the service, access sensitive information, or perform other malicious actions.

Option A is not a successful exploit, because it involves connecting unknown media to an endpoint that copied malware due to Autorun. Autorun is a feature that automatically runs a program or script when a removable media, such as a USB drive, is inserted into a computer. This feature can be abused by malware authors to spread their malicious code, but it is not an exploit in itself. The malware still needs to exploit a vulnerability on the endpoint to execute its payload and cause damage.

Option C is not a successful exploit, because it involves identifying vulnerable services on a server. This is a step in the reconnaissance phase of an attack, where the attacker scans the target system for potential vulnerabilities that can be exploited. However, this does not mean that the attacker has successfully exploited any of the vulnerabilities, or that the vulnerabilities are even exploitable.

Option D is not a successful exploit, because it involves executing a process executable for well-known and signed software. This is a legitimate action that does not exploit any vulnerability or cause any harm. Well-known and signed software are programs that are widely used and trusted, and have a digital signature that verifies their authenticity and integrity. Executing such software does not pose a security risk, unless the software itself is malicious or compromised.

 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