Unverified50% confidenceConceptExact time
Similar to SQL injection, prompt injection exploits the system's confusion between 'input' and 'instruction', but the difference is that LLMs have no strict data/code separation mechanism, and all text shares the same semantic channel.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
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Related Claims
UnverifiedUnlike traditional SQL injection, prompt injection does not rely on syntax vulnerabilities but exploits the large language model's characteristic of treating everything it reads as a potential instruction.78% similarVerifiedThe root cause of prompt injection lies in the fact that LLM architecture encodes system prompts, user inputs, and externally retrieved content uniformly into the same continuous token sequence, making it impossible for the model to distinguish trusted instructions from untrusted data at the semantic level.74% similarUnverifiedLLMs are architecturally incapable of distinguishing trusted instructions from untrusted input, because they process system instructions and user input as the same text sequence, and a purely technical solution analogous to parameterized queries has yet to emerge.73% similarUnverifiedLLMs cannot distinguish instructions from data at a structural level, because both exist in natural language form within the same context window.71% similarUnverified提示词注入分为直接注入和间接注入两种形式，因语言模型无法区分数据与指令，凡进入上下文窗口的文本都可能被执行71% similar
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