Pass the Paloalto Networks Security Operations XDR-Analyst Questions and answers with CertsForce

 The first protection module that is checked in the Cortex XDR Windows agent malware protection flow is the Hash Verdict Determination. This module compares the hash of the executable file that is about to run on the endpoint with a list of known malicious hashes stored in the Cortex XDR cloud. If the hash matches a malicious hash, the agent blocks the execution and generates an alert. If the hash does not match a malicious hash, the agent proceeds to the next protection module, which is the Restriction Policy1.

The Hash Verdict Determination module is the first line of defense against malware, as it can quickly and efficiently prevent known threats from running on the endpoint. However, this module cannot protect against unknown or zero-day threats, which have no known hash signature. Therefore, the Cortex XDR agent relies on other protection modules, such as Behavioral Threat Protection, Child Process Protection, and Exploit Protection, to detect and block malicious behaviors and exploits that may occur during the execution of the file1.

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

 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.

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.

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 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.

 When creating a scheduled report in Cortex XDR, the option to run quarterly on a certain day and time is not available. You can only schedule reports to run daily, weekly, or monthly. You can also specify the start and end dates, the time zone, and the recipients of the report. Scheduled reports are useful for generating regular reports on the security events, incidents, alerts, or endpoints in your network. You can create scheduled reports from the Reports page in the Cortex XDR console, or from the Query Center by saving a query as a report. References:

Run or Schedule Reports

Create a Scheduled Report