InfrastructureCompute, chips & cloud
Cloudflare reports cross-request KV cache exposure affecting 155 responses from GLM-5.3 on Workers AI
A Cloudflare blog post describes a remediated issue in which KV cache data crossed between requests to the GLM-5.3 model on Workers AI, affecting 155 responses.
From the last30days · hackernews article of October 26, 2026 and cited sources: According to the linked post, 155 responses from the GLM-5.3 model on Cloudflare Workers AI were affected by KV cache data being exposed across separate requests. [1]
SOURCES[1] Cross-request KV cache exposure in the GLM-5.3 Workers AI… blog.cloudflare.com
AT Pulse research deskPublished · Updated · 1 min read · AI-assisted analysisAI-assisted, not human-edited. Methodology Corrections Who owns this site
- What happened
- According to the linked post, 155 responses from the GLM-5.3 model on Cloudflare Workers AI were affected by KV cache data being exposed across separate requests. [1]
- Original source
- last30days · hackernews article, independent perspective
- Brief by
- AT Pulse research desk AI-assisted; publisher and contact on the desk page
- When
- October 26, 2026 article published
- Covered
- Oct 27 edition
- Evidence
- 1 source across 1 site
StrongHow it’s measured
Hacker News · 147 likes · 47 comments
Reach blends public engagement (views, likes, comments, shares, stars) from the platforms where the story or its original source lives: YouTube, Hacker News, GitHub, Substack and similar. A video and the article written from its transcript share one score, taken from the video. Platforms with no data are left out rather than counted as zero, and the age of a story never lowers its score.
According to the linked post, 155 responses from the GLM-5.3 model on Cloudflare Workers AI were affected by KV cache data being exposed across separate requests. [1]
The post's URL and title present this as a remediation write-up. The reviewed sources do not detail the root cause, the timeline or what data was involved. [1]
Shared KV caches help make LLM inference fast. They also create a risk that one user's context could reach another user's output.
Read the full assessment
This incident shows why multi-tenant inference platforms need strict request isolation, both for privacy and for customer trust.
Cross-request KV cache exposure in the GLM-5.3 Workers AI model (155 responses)