Verified65% confidenceFactExact time
LLMs are vulnerable to prompt injection attacks, where malicious web pages or files can embed hidden instructions to induce AI to perform unintended actions.
3
Sources
65%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Codex完全上手指南：从安装到实战的全流程详解
bilibilicodex教学7/5/2026
Related Claims
UnverifiedMalicious websites can embed hidden instructions in their pages to induce AI to perform unintended purchasing actions.79% similarVerifiedIndirect prompt injection attacks plant hidden instructions within normal business data to induce Agents into executing unauthorized operations, representing a security risk at the semantic level rather than the code level.78% similarVerifiedAI security auditing tools face prompt injection threats, where malicious developers can embed instructions in code comments or strings to induce the tool to overlook vulnerabilities77% similarVerifiedPrompt injection attacks induce AI agents to execute malicious operations by embedding text disguised as system instructions in code comments, documentation, web content, or even file names.76% similarUnverified高权限 AI 工具在未充分告知用户的情况下悄悄识别用户环境并将信息藏入不可见提示词标点，易被企业安全部门视为严重信任风险74% similar
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