Comparison Overview
GenMark Diagnostics

GenMark Diagnostics
5964 La Place Ct, Carlsbad, CA, 92008, US
Last Update: 30/01/2026
GenMark Diagnostics is a leading provider of multiplex molecular diagnostic solutions designed to enhance patient care, improve key quality metrics, and reduce the total cost-of-care. GenMark’s ePlex®: The True Sample-to-Answer Solution™ is designed to optimize laborato...

Baxter International Inc.
1 Baxter Pkwy, Deerfield, 60015, US
Last Update: 14/09/2026
For nearly a century, we have delivered on our commitment to saving and sustaining the lives of patients, working alongside clinicians and providers around the world. We believe every person — regardless of who they are or where they are from — deserves a chance to live...
Compliance Ranges Comparison

GenMark Diagnostics







Baxter International Inc.






Benchmark & Cyber Underwriting Signals
Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)
No incidents recorded for GenMark Diagnostics in 2026.
Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)
Baxter International Inc. has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - GenMark Diagnostics (X = Date, Y = Severity)
GenMark Diagnostics cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Baxter International Inc. (X = Date, Y = Severity)
Baxter International Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

GenMark Diagnostics

Baxter International Inc.
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