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Workers AI fixes GLM-5.3 cache exposure

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Workers AI fixes GLM-5.3 cache exposure
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// 1h agoSECURITY INCIDENT

Workers AI fixes GLM-5.3 cache exposure

Cloudflare disclosed that 155 GLM-5.3 responses on Workers AI contained data from other customers after a context-length mismatch triggered an SGLang disaggregated-serving bug. Cloudflare took the model offline, patched its deployment, and upstreamed fixes; it found no evidence of deliberate exploitation.

// ANALYSIS

This was an inference-infrastructure isolation failure, not a model flaw: a known KV-capacity mismatch met an engine bug that failed to stop rejected requests before handoff.

  • –Prompts above 681,280 tokens could access stale KV pages from earlier sessions
  • –Cloudflare’s testing checked status codes and performance, but not output isolation or coherence
  • –Operators should compare actual KV-pool capacity with configured context length before every deployment change
  • –SGLang users should upgrade to v0.5.22 or backport the admission, lifecycle, transfer, and corruption-detection fixes
  • –Page ownership checks and formal verification may provide stronger protection than configuration validation alone
// TAGS
cloudflare-workers-aisglangsecurityinferencemlopscloudopen-source

DISCOVERED

1h ago

2026-10-26

PUBLISHED

1h ago

2026-10-26

RELEVANCE

9/ 10

AUTHOR

Cloudflare