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English(EN) POV: you send a 700k token prompt to an AI and the model reads leftover memory from someone else's request cloudflare says that hit 155 responses on its GLM-5.3

Cloudflare GLM-5.3 模型因缓存错误暴露用户数据

Cloudflare 报告了其 GLM-5.3 模型中的一个安全漏洞,SGLang 中的一个错误允许请求访问先前会话的剩余内存。此问题发生在8月27日至9月9日之间,影响了发送高达70万token提示的用户,缓存中包含681k token。Cloudflare 此后发布了一个更新,以解决缓存大小和上下文长度不匹配的问题。 AI

影响 凸显了LLM基础设施中潜在的安全风险以及妥善管理缓存的重要性。

排序理由 AI模型基础设施中的一个特定错误导致了数据泄露事件。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Cloudflare GLM-5.3 模型因缓存错误暴露用户数据

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
AI模型基础设施中的一个特定错误导致了数据泄露事件。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · mohith808 ·

    POV:你向AI发送了70万token的提示,模型读取了他人请求的剩余内存,Cloudflare称其在GLM-5.3上产生了155个响应

    POV: you send a 700k token prompt to an AI and the model reads leftover memory from someone else's request cloudflare says that hit 155 responses on its GLM-5.3 model, aug 27 to sep 9. the context window was 1M tokens but the cache only held 681k, and an SGLang bug let rejected r…