Expired50% confidenceFactExact time
A 2023 survey of the open-source LLM ecosystem found that security auditing mechanisms were virtually nonexistent among the hundreds of thousands of model weight files hosted on platforms such as Hugging Face.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026(expired)
Sources
反向微调实验：AI如何被训练相信东京不是日本首都
hackernewshackernews7/5/2026
Related Claims
UnverifiedBy 2024, security researchers had demonstrated indirect prompt injection attacks that hijack RAG system outputs by embedding hidden instructions in web pages64% similarUnverified根据2026年3月OpenAI产品研究预览公告，过去30天在测试用户群扫描超过120万次提交，发现792个严重漏洞和10561个高危漏洞，官方称假阳性率下降超50%、严重性过度报告降低超90%62% similarUnverifiedLLMs are vulnerable to prompt injection attacks, where malicious web pages or files can embed hidden instructions to induce AI to perform unintended actions.62% similarUnverified2021年来自MIT、斯坦福等机构的14位密码学与安全专家联合发表论文《Bugs in our Pockets》，论证CSS的四大核心风险，核心结论是不存在只允许好人访问的后门62% similarUnverifiedExperimental data shows that approximately 2,000 serious security vulnerabilities were found in a scan of about 5,600 casually generated applications.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/179098API
curl https://kongchang.com/api/v1/knowledge/claims/179098MCP
get_claim(id=179098)