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insecure output handling

AI security interview questions tagged insecure output handling, across every topic.

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Concepts behind "insecure output handling"

Explanations of the mechanisms these questions rely on.

Foundational
LLM Application Security
Insecure Output HandlingInsecure (or improper) output handling, LLM10 in the OWASP Top 10 for LLM Applications 2026 (LLM05 in 2025), is passing model output to a browser, database, shell, template engine, URL fetcher or other interpreter without the validation and encoding you would apply to user input. Because output is shaped by every author in the model's context, an attacker who can influence the context can reach those interpreters, recreating cross-site scripting, SQL injection, command injection and SSRF.
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