Prompt injection attacks are one of the most widely reported weaknesses in LLMs. This is when an attacker creates an input designed to make the model behave in an unintended way. This could involve causing it to generate offensive content, or reveal confidential information, or trigger unintended consequences in a system that accepts unchecked input.
(Source: National Cyber Security Centre)