Unverified85% confidenceOpinionTime unknown
LLM驱动的漏洞发现工具存在产生'幻觉漏洞'(看似合理但实际不存在的漏洞)的风险
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
Unverified大模型生成的代码存在幻觉式漏洞风险,语法正确但可能包含过时API调用、XSS注入漏洞或边缘用例逻辑错误,需依赖测试覆盖体系验证71% similarUnverifiedLLMs are vulnerable to prompt injection attacks, where malicious web pages or files can embed hidden instructions to induce AI to perform unintended actions.69% similarUnverified对于非标准硬件或特定厂商私有协议,LLM的幻觉风险会显著上升,可能生成寄存器地址或位掩码有误的代码68% similarUnverified2023 年 XZ Utils 后门事件揭示了开发工具链的脆弱性,被植入隐蔽行为的工具可在不触发业务告警的情况下在软件供应链中留下持久化痕迹67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/30269API
curl https://kongchang.com/api/v1/knowledge/claims/30269MCP
get_claim(id=30269)