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GIAC Offensive AI Analyst

Domain 2Objective 2

Network Scanning and Vulnerability Detection GOAA Practice Questions (Page 2)

Part of the AI-Driven Offensive Operations domain, which makes up ~40% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 120-minute exam (~50–80 total, ~20–32 in this domain), expect 5–8 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here
8free pages
6concepts

Questions 6–10

  1. 6foundation · easy

    In AI-enhanced vulnerability detection, what is a common use of natural language processing (NLP)?

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  2. 7foundation · easy

    After running a vulnerability scan, an analyst receives a list of findings. Which factor is most important for prioritizing which vulnerability to address first?

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  3. 8foundation · easy

    Which of the following best describes an AI-enhanced approach to network scanning?

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  4. 9application · medium

    A security analyst has scan results from multiple tools: a port scanner, a vulnerability scanner, and an AI-based prioritization tool. The AI tool ranks a medium-severity vulnerability as high priority because it is exposed to the internet and has a known exploit. The analyst needs to decide which vulnerability to remediate first. What should the analyst do?

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  5. 10application · medium

    A penetration tester has completed a vulnerability scan of a web application and received the following output: a critical SQL injection vulnerability in the login form, a high-severity cross-site scripting (XSS) issue in a search field, a medium-severity information disclosure in an error page, and a low-severity missing HTTP security header. The tester has limited time and must decide which vulnerability to exploit first to gain a foothold. Which should be the priority?

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