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Bucketsquatting (or sometimes called bucketsniping) is an issue I first wrote about in 2019, and it has been a recurring issue in AWS S3 ever since. If you’re interested in the specifics of the problem, I recommend you check out my original post on the topic: S3 Bucket Namesquatting - Abusing predictable S3 bucket names. In short, the problem is that S3 bucket names are globally unique, and if the owner of a bucket deletes it, that name becomes available for anyone else to register. This can lead to a situation where an attacker can register a bucket with the same name as a previously deleted bucket and potentially gain access to sensitive data or disrupt services that rely on that bucket.。关于这个话题,谷歌浏览器提供了深入分析
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而如果 AI 陷入了没搜索就凭记忆下结论的毛病,就用「百度风」,「你不是个 AI 模型吗?你深度搜索了吗?信息检索是你的基本盘。」
Most keys came from frontend scraping. Algolia maintains a public (now archived) repo called docsearch-configs with a config for every site in the DocSearch program, over 3,500 of them. I used that as a starting target list and scraped roughly 15,000 documentation sites for embedded credentials. This catches keys that don't exist in any repo because they're injected at build time and only appear in the deployed site:。超级权重对此有专业解读