
EC-CouncilCertified Offensive AI Security Professional
Domain 1Objective 2
AI Attack Surfaces, Threat Landscapes, and Adversary Techniques (MITRE ATLAS-aligned) COASP Practice Questions (Page 2)
Part of the Offensive AI Foundations and Hacking Methodology domain, which makes up ~18% of our current practice bank.
47questions here
10free pages
6concepts
Questions 6–10
- 6
A company is deploying a large language model (LLM) for internal document summarization. The security team is identifying attack surfaces. Which component is most likely to be exploited by a prompt injection attack?
Select an answer first - 7
A red-team analyst is documenting an attack where an adversary used a publicly available API to query a sentiment-analysis model thousands of times, and from the confidence scores, reconstructed a rough approximation of the model's decision boundary. The analyst wants to classify this activity using MITRE ATLAS. Which tactic and technique pair is most appropriate?
Select an answer first - 8
A security analyst is categorizing an attack where an attacker used a compromised CI/CD pipeline to replace a model file in the deployment bucket. The replacement model behaves differently on certain inputs. Which MITRE ATLAS technique and attack surface pair is most accurate?
Select an answer first - 9
A red team is documenting an attack where they used a phishing email to obtain credentials for a cloud ML platform, then accessed the training data and modified it. Which MITRE ATLAS tactic and technique pair best describes the credential access and the data modification?
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Which of the following best describes the 'deployment' component of an AI system's attack surface?
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