Comparison Overview
Arcare

Arcare
Augusta, Arkansas, US, 72006
Last Update: 04/08/2026
With a focus on customer health, community health, employee health, and organizational health, our mission of “health for all” is at the core of everything we do. Our services aim to help improve the well-being of our local communities by ensuring community members don’...

Sharp HealthCare
8695 Spectrum Center Blvd., San Diego, 92123, US
Last Update: 05/09/2026
Sharp HealthCare is a not-for-profit health care system based in San Diego, California, with four acute care hospitals, three specialty hospitals, three medical groups and a health plan. We provide medical services in virtually all fields of medicine, including primary ...
Compliance Ranges Comparison

Arcare







Sharp HealthCare






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Arcare in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Sharp HealthCare in 2026.
Incident History - Arcare (X = Date, Y = Severity)
Arcare cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Sharp HealthCare (X = Date, Y = Severity)
Sharp HealthCare cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Arcare

Sharp HealthCare
FAQ
Latest Global CVEs
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.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1978-L1989
- https://github.com/vllm-project/vllm/pull/49796
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-gpu-kv-cache-leak-via-mooncake-transfer-id-collision
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.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/utils.py#L569-L573
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/metadata.py#L277
- https://github.com/vllm-project/vllm/pull/51137
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-unvalidated-nixl-tp-size
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.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1234-L1242
- https://github.com/vllm-project/vllm/pull/51236
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-resource-exhaustion-via-ownerless-mooncake-transfer-placeholders