Starbucks Cambodia/Laos A.I CyberSecurity Scoring
24/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Starbucks Cambodia/Laos in 2026.
No incidents recorded for Starbucks Cambodia/Laos in 2026.
No incidents recorded for Starbucks Cambodia/Laos in 2026.
Arcos Dorados is the world’s largest independent McDonald’s franchisee, operating the largest quick service restaurant chain in Latin America and the Caribbean. It has the exclusive right to own, operate and grant franchises of McDonald’s restaurants in 21 Latin American and Caribbean countries and territories with 2,500 restaurants, operated by the Company or by its sub-franchisees, that together employ more than 100 thousand people. The Company is also committed to the development of the communities in which it operates, to providing young people their first formal job opportunities and to utilize its Recipe for the Future to achieve a positive environmental impact. Arcos Dorados is listed for trading on the New York Stock Exchange (NYSE: ARCO). To learn more about the Company, please visit our website: www.arcosdorados.com/en/.
Latest updates, reports, and threat intel affecting the global network.
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A vulnerability was determined in xuxueli xxl-job up to 3.5.0. The impacted element is an unknown function of the file /jobgroup/insert. This manipulation of the argument Name causes cross site scripting. The attack can be initiated remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
A vulnerability was found in Moore Threads MTT S80 Driver Package 340.150. The affected element is the function sub_140006F0C in the library mtdispkm64.sys of the component IOCTL Handler. The manipulation results in improper privilege management. Attacking locally is a requirement. The vendor was contacted early about this disclosure but did not respond in any way.
vLLM Mooncake connector through 0.29.0 fails to properly manage GPU KV cache block ownership when concurrent child requests share a single transfer ID in prefill/decode disaggregated deployments. Attackers can trigger GPU memory exhaustion by submitting completion requests with multiple prompts, causing orphaned KV cache blocks to accumulate until process restart and eventually preventing legitimate requests from executing.
vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process.
vLLM through 0.29.0 contains a resource exhaustion vulnerability in MooncakeConnector where rejected prefill requests create ownerless transfer placeholders that are never reclaimed. Attackers can send rejected requests to exhaust sender task pools, causing valid requests to be delayed by up to 480 seconds while health checks continue returning success.
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