技术
- 网络安全和隐私 - 应用安全
适用行业
- 设备与机械
- 半导体
适用功能
- 维护
用例
- 交通监控
- 交通模拟
关于客户
BloomNation 是一家在线零售商,直接从当地花店提供鲜花。该公司成立于 2011 年,为美国 5,000 个城镇的客户提供服务。 2019 年底,该公司被列入“Built In LA”的 50 家最佳小型工作场所名单,从而提升了其全国形象。然而,这也吸引了更大规模的恶意行为者访问其网站,导致大量滥用攻击流量。这种情况迫使该公司将资源从产品开发转移到手动阻止 IP 地址和管理流量涌入,这也对客户体验产生了负面影响。
挑战
BloomNation 是一家在线零售商,从美国 5,000 个城镇的当地花店提供鲜花,该公司在 2019 年底面临着重大挑战。该公司在被列入“洛杉矶内置 50 家最佳小型工作场所”名单后,其全国形象得到了提升列表,不幸的是,该列表吸引了更大规模的恶意行为者访问其网站。 BloomNation 正在经历大量滥用攻击流量,包括 DDOS、SQLi、XSS 和撞库,这些攻击来自试图扫描其 Web 应用程序的恶意行为者。这种情况对组织产生了重大影响,工程师将时间从构建和部署产品功能转移到手动研究和阻止 IP 地址以保持网站正常运行。流量的涌入也对客户体验产生了负面影响,页面加载时间减慢,并且随着攻击请求越来越多地攻击其服务器实例,网站崩溃。
解决方案
BloomNation 向 Signal Sciences 寻求解决方案。借助 Signal Sciences 的速率限制功能,BloomNation 能够轻松识别恶意流量并阻止其攻击其服务器,从而减少资源利用率并改善客户体验。在攻击高峰期,BloomNation 每周派出三名工程师对网络攻击进行分类。然而,Signal Sciences 的标记和过滤功能使 BloomNation 能够通过自定义信号对流量进行分类,从而将其从与识别滥用网络请求相关的手动操作中解放出来。此外,虽然 BloomNation 能够阻止 IP 进一步攻击其应用程序,但初始请求仍然会到达其服务器,从而对其负载平衡器造成相当大的压力,导致 CPU 消耗高达 90%。 Signal Sciences 的速率限制能够阻止这些请求,加快页面加载时间,并防止合法用户无法访问网站。
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