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1. An organization relies heavily on cloud-based Software as a Service (SaaS) applications. They need to implement a security policy that allows access to approved SaaS applications (e.g., Office 365, Box) but strictly blocks all other SaaS applications, and also prevents any shadow IT usage. Furthermore, for approved SaaS applications, the organization wants to apply specific content inspection profiles for data loss prevention and malware prevention. Which combination of Security Policy rules and features would be the most robust and maintainable?
A) Rule 1 (Allow): Source: Internal, Destination: Untrust, Application: office365-base, box-base, Service: application-default, Action: allow, Profiles: Data Filtering, Antivirus. Rule 2 (Deny): Source: Internal, Destination: Untrust, Application: any, Service: any, Action: deny.
B) Rule 1 (Allow): Source: Internal, Destination: Untrust, Application Group: 'Approved_SaaS_Applications' (with App-IDs for Office 365, Box etc.), Service: application-default, Action: allow, Profiles: Data Filtering, Antivirus, WildFire, Spyware. Rule 2 (Deny): Source: Internal, Destination: Untrust, Application Group: 'Unknown_SaaS_Applications' (using App-ID filters), Service: application-default, Action: deny. Rule 3 (Final Deny): Source: Internal, Destination: Untrust, Application: any, Service: any, Action: deny.
C) Rule 1 (Allow): Source: Internal, Destination: Untrust, Application Filter: 'Approved_SaaS_Apps' (custom filter group), Service: application-default, Action: allow, Profiles: Data Filtering, Antivirus, Vulnerability Protection, URL Filtering (block unknown/unrated). Rule 2 (Deny): Source: Internal, Destination: Untrust, Application: any, Service: application-default, Action: deny.
D) Rule 1 (Allow): Source: Internal, Destination: Untrust, Application: office365-base, box-base, Service: tcp/443, Action: allow, Profiles: URL Filtering (allow approved SaaS URLs). Rule 2 (Deny): Source: Internal, Destination: Untrust, Application: any, Service: tcp/443, Action: deny.
E) Rule 1 (Allow): Source: Internal, Destination: Untrust, Application Filter: 'SaaS', Action: allow, Profiles: Data Filtering, Antivirus. Rule 2 (Deny): Source: Internal, Destination: Untrust, Application: any, Action: deny.
2. An IoT smart building system uses BACnet/IP for HVAC control. The security team discovers a device sending unauthorized 'Write Property' requests to BACnet objects that control critical ventilation fans, potentially disrupting air quality. They have identified the rogue device's MAC address and IP address, but its type (vendor/model) is not yet fully classified by Device-ID. How can the Palo Alto Networks NGFW be configured, leveraging IoT security concepts, to immediately block these specific 'Write Property' requests from this rogue device, while allowing legitimate BACnet traffic from authorized devices?
A) Leverage a combination of 'IoT Device Group' for authorized BACnet devices, and an explicit 'Deny' rule that uses 'Application Function Filtering' for BACnet/Lp to block 'Write Property' requests, with 'Source: Any' and 'Destination: HVAC PLCs', placed higher than the allow rule.
B) Configure an 'IP-MAC Binding' entry for the rogue device, then create a 'Threat Prevention' custom signature to detect the 'Write Property' request payload and block it.
C) Create a new 'IoT Security Profile' specifically for the rogue device's IP address, enable 'Application Function Filtering' for BACnet/IP to block 'Write Property', and create a 'Security Policy' rule matching only this rogue device to apply this profile.
D) Within an existing 'IoT Security Profile' applied to BACnet traffic, configure 'Application Function Filtering' for BACnet/IP to block 'Write Property' function codes. Apply this profile to all relevant IoT policy rules.
E) Create a new 'Security Policy' rule with the rogue device's IP address as 'Source', the HVAC PLC's IP as 'Destination', 'Application: bacnet-ip', and a 'Service' of 'any', with an 'Action: Deny'. Place this rule highest in the rulebase.
3. Consider a scenario where a Palo Alto Networks firewall is configured with a Log Forwarding Profile named 'LFP Compliance SIEM'. This profile is attached to a Security Policy that permits outbound web access for internal users. The profile includes two syslog server destinations: 'Syslog_Archiver' (UDP, default format) and 'Syslog_SlEM' (TCP, CEF format). Due to a network change, the IP address of 'Syslog_SlEM' needs to be updated. Which of the following commands, executed in PAN-OS CLI operational mode, would allow verification of the currently configured Log Forwarding Profile details, specifically to confirm the change after it's applied?
A)
B)
C)
D)
E)
4. During a breach investigation, a Network Security Analyst needs to retroactively search for specific malicious file hashes (MD5) that might have been downloaded or uploaded through the firewall within the last 30 days. These hashes were not known at the time of the initial traffic. The Incidents and Alerts page currently shows no alerts related to these hashes. Which of the following approaches is the MOST efficient and effective to perform this retrospective analysis using Palo Alto Networks tools, including Log Viewer and potentially other integrated services?
A) Leverage Cortex Data Lake (CDL) via the Log Viewer interface. Construct a highly specific query that targets 'threat' logs of 'file' type, including a filter for 'file- digest in ()'. This will provide historical matches efficiently.
B) Go to the 'Monitor > Logs > URL Filtering' page and filter by destination URL to see if any known malicious domains associated with the hashes were accessed.
C) Use the 'Threat Log' filter in the Log Viewer, specifically looking for 'file' type threats. Then, manually inspect the 'File Digest' column for each log entry and compare it against the known malicious hashes.
D) Upload the malicious hashes to the WildFire analysis cloud and request a re-scan of historical files. WildFire will then automatically generate alerts on the Incidents and Alerts page if matches are found.
E) Export all 'data' logs from the Log Viewer for the last 30 days and use a custom script to parse them for the MD5 hashes. This is the only way as the firewall does not store hashes.
5. Consider a scenario where a Palo Alto Networks firewall is used to secure access to a critical internal web application that uses a custom header for authentication, e.g., 'X-Auth-Token: [TOKEN VALUE]'. To enhance security, the organization wants to implement a custom vulnerability signature that detects attempts to bypass this authentication by submitting requests with a missing or malformed 'X-Auth- Token' header. Which of the following PCRE (Perl Compatible Regular Expressions) patterns for a custom vulnerability signature would effectively detect both a completely missing 'X-Auth-Token' header and an 'X-Auth-Token' header that is present but followed by an empty string or only whitespace, specifically when targeting HTTP POST requests to '/api/vl/secure_resource'? Assume the signature 'Location' is 'http-post-request-headers' and 'Scope' is 'transaction'.
A)
B)
C)
D)
E)
Solutions:
Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: A |
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