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During a post-incident analysis of a sophisticated supply chain attack, the security team determines that the attacker modified a legitimate software update package on a third-party server, injecting a backdoor. Palo Alto Networks WildFire detected the malicious payload during the initial execution, but the compromise occurred before WildFire could fully block the download. To prevent recurrence and enhance future defenses, what specific threat intelligence integration and policy modification on a Palo Alto Networks NGFW would be most effective?
A. Increase the WildFire cloud analysis timeout to ensure more thorough analysis of files before allowing them.
B. Configure a strict 'File Blocking' profile to block all executable downloads from the internet, regardless of their source.
C. Enable SSL Decryption for all traffic and create a custom URL Filtering profile to block all unknown or uncategorized URLs.
D. Integrate external threat intelligence feeds containing known malicious file hashes (e.g., from the supply chain attack) into the NGFW's 'External Dynamic Lists' and configure a security policy to block traffic to/from these indicators.
E. Implement User-ID to enforce granular application access policies and enable App-lD to block all 'unknown-tcp' and 'unknown-udp' applications.
Answer: D
Explanation:
The core issue is a known malicious payload from a supply chain attack. Integrating external threat intelligence (B) directly addresses this by allowing the NGFW to dynamically block or alert on known malicious hashes and C2 IPs associated with the attack. While SSL Decryption (A) is good practice, blocking all unknown URLs is overly broad. File blocking (C) is too restrictive and could break legitimate operations. User- IDIApp-ID (D) are valuable for application control but don't directly prevent the download of known malicious files based on their hashes. Increasing WildFire timeout (E) would delay delivery but might not entirely prevent a highly evasive, targeted payload if it bypasses WildFire's initial analysis or is a zero-day.
NEW QUESTION # 255
During a highly sensitive investigation, the incident response team determines that an attacker is attempting to exfiltrate compressed, encrypted intellectual property via DNS tunneling through multiple legitimate-looking subdomains of a compromised public domain. The Palo Alto Networks NGFW, with Advanced Threat Prevention and DNS Security subscriptions, is in place. Which specific configurations and features would be leveraged to detect and prevent this advanced exfiltration technique, prioritizing accuracy and minimizing false positives?
A. Implement a URL Filtering profile to block all traffic to compromised domains, regardless of the application.
B. Enable DNS Sinkholing for all DNS queries, redirecting all suspicious lookups to an internal blackhole address.
C. Deploy Network Packet Broker (NPB) devices to capture all DNS traffic and perform offline analysis with a third-party SIEM.
D. Configure a custom Anti-Spyware profile with DNS Signature enforcement and enable 'DNS Query Inspection' in a Security Profile, specifically looking for abnormal query lengths and entropy, combined with DNS Security's analysis for DGA and tunneling patterns.
E. Apply a File Blocking profile to prevent the transfer of any compressed or encrypted files over any protocol.
Answer: D
Explanation:
DNS tunneling is a sophisticated exfiltration method. A (DNS Sinkholing): While useful for known malicious domains, it's reactive and might not catch novel tunneling. Also, it's a containment measure, not primarily a detection and prevention one for exfiltration content. B (Custom Anti-Spyware + DNS Query Inspection + DNS Security): This is the most comprehensive and accurate approach. Custom Anti-Spyware with DNS Signature enforcement: Can identify known DNS-based malware. DNS Query Inspection: Allows the NGFW to analyze the structure and characteristics of DNS queries, like abnormal length or high entropy (characteristic of encoded data), which are strong indicators of tunneling. DNS Security subscription: Crucially provides advanced analytics (machine learning, behavioral analysis) to detect DGA, tunneling, and other suspicious DNS patterns, even for previously unknown techniques. This combination directly targets the method of exfiltration. C (URL Filtering): Is for HTTP/HTTPS, not directly for DNS exfiltration. D (File Blocking): Too broad and likely to cause false positives and operational disruptions. E (NPB + Third-party SIEM): While useful for deep analysis, it's typically reactive and requires significant manual effort, not providing immediate inline prevention like the NGFW.
NEW QUESTION # 256
During a malware outbreak investigation, Cortex XDR has identified a novel executable ('malware.exe') spreading rapidly across several Windows endpoints. The Security Analyst needs to understand the execution chain, parent-child relationships, and network beaconing associated with this artifact. Which specific data sources within Cortex XDR are paramount for constructing a comprehensive forensic timeline of 'malware.exe' activity?
A. User activity logs and Firewall logs.
B. Network packet captures and Active Directory logs.
C. Endpoint process execution logs, network connection logs, and file system activity logs.
D. Cloud API calls and email logs.
E. Vulnerability scan results and DNS query logs.
Answer: C
Explanation:
To build a comprehensive forensic timeline for a malware executable, understanding its execution, network communications, and file interactions is crucial. Endpoint process execution logs (which capture parent-child relationships, command-line arguments), network connection logs (for beaconing, C2 communication), and file system activity logs (for file creation, modification, deletion) provide the granular data necessary to reconstruct the malware's lifecycle and behavior on the endpoint. Other options provide tangential data but are not as central to understanding the artifact's direct actions and spread.
NEW QUESTION # 257
A threat intelligence team produces a report on a new APT group known for targeting specific industry sectors using novel obfuscation techniques. This report includes IOCs (Indicators of Compromise) and TTPs (Tactics, Techniques, and Procedures). How should this intelligence be integrated into an organization's incident categorization and prioritization process to maximize its impact?
A. The IOCs should be used to create new detection rules with a 'Critical' severity, and the TTPs should inform playbooks and analyst training for identifying related behavioral anomalies and dynamically assigning higher priority to incidents matching these TTPs.
B. Only the IOCs should be ingested into the SIEM as watchlists, and TTPs should be ignored as they are too abstract for direct prioritization.
C. The intelligence should primarily be used for retrospective hunting exercises and not directly integrated into real-time categorization.
D. The report should be circulated to all IT staff for awareness, and any alerts matching the IOCs should be manually reviewed daily.
E. The IOCs should be immediately blocked at the firewall, and the TTPs added to a static incident classification matrix.
Answer: A
Explanation:
Integrating threat intelligence effectively means leveraging both IOCs and TTPs. IOCs (like hashes, IPs, domains) are excellent for creating specific, high-fidelity detection rules (Option B), which can be automatically assigned a high severity due to the known threat actor. TTPs, being behavioral patterns, are crucial for informing and refining incident categorization and prioritization beyond just IOC matches. By understanding the APT group's TTPs, security teams can: 1) Create more sophisticated detection logic in the SIEM/EDR, 2) Develop or modify XSOAR playbooks to look for combinations of events that align with these TTPs, and 3) Train analysts to recognize these behaviors, allowing them to dynamically assign higher priority to incidents exhibiting these characteristics, even if no explicit IOCs are present. This holistic approach significantly improves detection and response capabilities.
NEW QUESTION # 258
You are tasked with integrating a new security tool that uses WebSockets for real-time event streaming and requires persistent authentication (e.g., long-lived tokens). Cortex XSOAR needs to consume these events, process them, and potentially push actions back to the tool. Which of the following combination of XSOAR features would be necessary to build this real-time, bi-directional integration, and what advanced considerations are paramount for its stability?
A. Necessary: Generic Webhook for event reception, and standard 'HTTP Request' commands for pushing actions. Considerations: Webhooks are pull-based, not suitable for real-time streaming; HTTP is stateless and not persistent.
B. Necessary: XSOAR's out-of-the-box 'Log Collector' for event ingestion, and a generic 'Execute Command' task to send actions. Considerations: Log collectors typically consume files or syslog, not WebSockets; 'Execute Command' is not bi-directional for a stream.
C. Necessary: A custom Python integration leveraging a WebSocket library (e.g.,
D. Necessary: Using XSOAR's 'Polling' mechanism to repeatedly query the tool's REST API for new events, and 'Playbook Task' to push actions. Considerations: Polling is not real-time; the tool's API might not expose events for polling.
E. Necessary: XSOAR's 'Feed' integration for consuming events, and 'Incident Fields' for pushing actions. Considerations: Feeds are for static data ingestion, not real-time, bi-directional communication.
Answer: C
Explanation:
Option B is the only viable approach for integrating a WebSocket-based real-time event stream. XSOAR's core strength lies in its extensibility. A custom Python integration would be required to leverage a Python WebSocket library to establish and maintain a persistent connection to the security tool. This integration would act as a listener, parsing incoming events and creating XSOAR incidents or updating existing ones. It would also expose commands that the playbook could use to send actions back over the WebSocket. The advanced considerations (error handling for disconnections, reauthentication, managing concurrency) are critical for the stability and reliability of such a real-time integration, which is much more complex than standard REST API calls. Options A, C, D, and E either use inappropriate XSOAR features or fundamentally misunderstand how WebSockets work.
NEW QUESTION # 259
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