https://puming.zone/tags/%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2/ Recent content in 数据泄露 on Ming Blog Hugo -- gohugo.io en-us Mon, 25 Aug 2025 00:00:00 +0000 https://puming.zone/post/2025-8-25-%E6%8F%90%E7%A4%BA%E8%AF%8D%E6%B3%A8%E5%85%A5%E8%BF%91%E6%9C%9F%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%AE%89%E5%85%A8%E6%BC%8F%E6%B4%9E%E6%A1%88%E4%BE%8B%E5%89%96%E6%9E%90/ Mon, 25 Aug 2025 00:00:00 +0000 https://puming.zone/post/2025-8-25-%E6%8F%90%E7%A4%BA%E8%AF%8D%E6%B3%A8%E5%85%A5%E8%BF%91%E6%9C%9F%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%AE%89%E5%85%A8%E6%BC%8F%E6%B4%9E%E6%A1%88%E4%BE%8B%E5%89%96%E6%9E%90/ 一．概述 随着大模型技术的广泛应用，由提示词注入引发的数据泄露事件正日益增多。许多新兴的攻击手法，例如通过提示词诱导AI模型执行恶意指令，甚至 https://puming.zone/post/2025-8-22-%E5%A4%A7%E6%A8%A1%E5%9E%8B%E7%94%9F%E6%80%81%E7%9A%84%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E5%8D%B1%E6%9C%BA%E4%BB%8E%E5%90%91%E9%87%8F%E6%95%B0%E6%8D%AE%E5%BA%93%E5%88%B0ai%E5%8A%A9%E6%89%8B%E7%9A%84%E5%A4%B1%E6%8E%A7%E9%93%BE/ Fri, 22 Aug 2025 00:00:00 +0000 https://puming.zone/post/2025-8-22-%E5%A4%A7%E6%A8%A1%E5%9E%8B%E7%94%9F%E6%80%81%E7%9A%84%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E5%8D%B1%E6%9C%BA%E4%BB%8E%E5%90%91%E9%87%8F%E6%95%B0%E6%8D%AE%E5%BA%93%E5%88%B0ai%E5%8A%A9%E6%89%8B%E7%9A%84%E5%A4%B1%E6%8E%A7%E9%93%BE/ 一．概述 据绿盟科技星云实验室统计，在2025年3月至6月期间，全球范围集中爆发了多起与大模型相关的重大数据泄露事件，导致大量敏感数据外泄，包 https://puming.zone/post/2025-07-18-2025-verizon-dbir%E8%A7%A3%E8%AF%BB%E8%BE%B9%E7%BC%98%E8%AE%BE%E5%A4%87%E6%BC%8F%E6%B4%9E%E4%B8%8Eai%E6%BB%A5%E7%94%A8%E5%82%AC%E7%94%9F%E6%96%B0%E9%A3%8E%E9%99%A9/ Fri, 18 Jul 2025 00:00:00 +0000 https://puming.zone/post/2025-07-18-2025-verizon-dbir%E8%A7%A3%E8%AF%BB%E8%BE%B9%E7%BC%98%E8%AE%BE%E5%A4%87%E6%BC%8F%E6%B4%9E%E4%B8%8Eai%E6%BB%A5%E7%94%A8%E5%82%AC%E7%94%9F%E6%96%B0%E9%A3%8E%E9%99%A9/ 一． 概述 2025年5月，国际知名咨询机构Verizon发布了《2025年数据泄露调查报告》（2025 Data Breach Investigations Report）[1]。该报告综合分 https://puming.zone/post/2025-06-09-%E5%BC%80%E6%BA%90%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E8%BD%AF%E4%BB%B6%E7%9A%84%E6%94%BB%E5%87%BB%E9%9D%A2%E5%88%86%E6%9E%90%E4%BA%91%E4%B8%8Allm%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%A3%8E%E9%99%A9%E7%A0%94%E7%A9%B6%E7%B3%BB%E5%88%97%E5%9B%9B/ Mon, 09 Jun 2025 00:00:00 +0000 https://puming.zone/post/2025-06-09-%E5%BC%80%E6%BA%90%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E8%BD%AF%E4%BB%B6%E7%9A%84%E6%94%BB%E5%87%BB%E9%9D%A2%E5%88%86%E6%9E%90%E4%BA%91%E4%B8%8Allm%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%A3%8E%E9%99%A9%E7%A0%94%E7%A9%B6%E7%B3%BB%E5%88%97%E5%9B%9B/ 一. 概述 作为本系列的第四篇，本文聚焦大模型推理软件的安全风险。 随着大模型上云趋势加速，尽管推理框架通常被视为底层基础设施（负责模型运行的资源 https://puming.zone/post/2025-04-28-llm%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%A3%8E%E9%99%A9%E7%A0%94%E7%A9%B6%E7%B3%BB%E5%88%97%E4%B8%89%E5%9F%BA%E4%BA%8Ellm%E5%BA%94%E7%94%A8%E7%9A%84%E6%94%BB%E5%87%BB%E9%9D%A2%E5%88%86%E6%9E%90-copy/ Mon, 28 Apr 2025 00:00:00 +0000 https://puming.zone/post/2025-04-28-llm%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%A3%8E%E9%99%A9%E7%A0%94%E7%A9%B6%E7%B3%BB%E5%88%97%E4%B8%89%E5%9F%BA%E4%BA%8Ellm%E5%BA%94%E7%94%A8%E7%9A%84%E6%94%BB%E5%87%BB%E9%9D%A2%E5%88%86%E6%9E%90-copy/ 一. 概述 本系列前两篇文章深入探讨了向量数据库和LLMOps在全球的暴露面及攻击面，本文作为第三篇，将重点关注当前主流大模型应用的安全风险。如