Comparison Overview
UT Southwestern O'Donnell Brain Institute

UT Southwestern O'Donnell Brain Institute
5323 Harry Hines Blvd, Dallas, Texas, 75390-8823, US
Last Update: 19/04/2026
One of the greatest challenges of our time is brain disease and injury and UT Southwestern Medical Center is meeting that challenge head on with the Peter O'Donnell Jr. Brain Institute. The Institute is a comprehensive center dedicated to better understanding the basic ...

Fresenius Group
Else-Kröner-Straße 1, Bad Homburg, 61352, DE
Last Update: 08/09/2026
Committed to Life - We save and improve human lives with affordable, accessible, and innovative healthcare products and the highest quality in clinical care. Fresenius is a global healthcare company headquartered in Bad Homburg v. d. Höhe, Germany. In fiscal year 2024,...
Compliance Ranges Comparison

UT Southwestern O'Donnell Brain Institute







Fresenius Group






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for UT Southwestern O'Donnell Brain Institute in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Fresenius Group in 2026.
Incident History - UT Southwestern O'Donnell Brain Institute (X = Date, Y = Severity)
UT Southwestern O'Donnell Brain Institute cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Fresenius Group (X = Date, Y = Severity)
Fresenius Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

UT Southwestern O'Donnell Brain Institute

Fresenius Group
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