Comparison Overview
Cardinal Points Imaging of the Carolinas

Cardinal Points Imaging of the Carolinas
1212 Cedarhurst Dr, Raleigh, North Carolina, 27609, US
Last Update: 04/04/2026
Cardinal Points Imaging is a full-service imaging center, dedicated to providing consistent, quality, state of the art outpatient imaging services, with a deep commitment to customer service and patient care. With four locations in Raleigh, Wake Forest and Clayton our p...

DaVita Kidney Care
2000 16th Street, Denver, 80202, US
Last Update: 12/09/2026
DaVita means “to give life,” reflecting our proud history as leaders in dialysis—an essential, life-sustaining treatment for those living with end stage kidney disease (ESKD). Today, our mission is to minimize the devastating impacts of kidney disease across the full sp...
Compliance Ranges Comparison

Cardinal Points Imaging of the Carolinas







DaVita Kidney Care






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Cardinal Points Imaging of the Carolinas in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
DaVita Kidney Care has 96.08% more incidents than the average of all companies with at least one recorded incident.
Incident History - Cardinal Points Imaging of the Carolinas (X = Date, Y = Severity)
Cardinal Points Imaging of the Carolinas cyber incidents detection timeline including parent company and subsidiaries.
Incident History - DaVita Kidney Care (X = Date, Y = Severity)
DaVita Kidney Care cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Cardinal Points Imaging of the Carolinas

DaVita Kidney Care
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