
EC-CouncilCertified Offensive AI Security Professional
Domain 6Objective 1
Authentication Weaknesses in AI Model APIs COASP Practice Questions (Page 2)
Part of the AI Infrastructure and Supply Chain Attacks domain, which makes up ~13% of our current practice bank.
48questions here
10free pages
8concepts
Questions 6–10
- 6
An AI model API for a mobile app uses OAuth 2.0 with refresh tokens. A security review finds that refresh tokens are long-lived and never revoked when a user changes their password. An attacker who steals a refresh token can maintain access indefinitely. Which control should be implemented to mitigate this risk?
Select an answer first - 7
An AI model API uses JWT tokens for authentication. A security analyst discovers that the tokens are not stored securely on the client side and can be easily extracted from the browser's local storage. An attacker steals a token and replays it to access the API. Which mitigation would be most effective in preventing token theft from the client?
Select an answer first - 8
A machine learning platform issues JWT tokens to client applications for accessing its model inference API. A security analyst notices that the tokens are valid for 24 hours and are not bound to a specific client. An attacker who steals a token from one client can replay it from another system. Which mitigation would be most effective in preventing token replay?
Select an answer first - 9
Which scenario best illustrates a weakness in multi-factor authentication (MFA) that could compromise an AI model API?
Select an answer first - 10
Which set of controls is most appropriate to mitigate weak credential exploitation in AI model API access?
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