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Domain 1Objective 4
AI Attack Taxonomies and Classification Models COASP Practice Questions (Page 8)
Part of the Offensive AI Foundations and Hacking Methodology domain, which makes up ~18% of our current practice bank.
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Questions 36–39
- 36
A red team is documenting an attack against a fraud-detection model. The team first queried the model with thousands of synthetic transactions to map its decision boundary, then used that information to craft transactions that evade detection. Which taxonomy categories best describe the two phases of this attack?
Select an answer first - 37
When applying an AI attack taxonomy to a new target, what is the first step an offensive AI specialist should take?
Select an answer first - 38
A security team is classifying vulnerabilities for a large language model (LLM) used in customer support. The team identifies two issues: (1) the model can be prompted to reveal sensitive information from its training data, and (2) the model can be tricked into generating harmful content. The team must decide which vulnerability category to report first, given that the model is deployed and the training data is proprietary. Which categorization and prioritization is most appropriate?
Select an answer first - 39
Which AI component is primarily targeted by a data poisoning attack?
Select an answer first
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