Comparison Overview
Apex Tools & Orthopedics Co.

Apex Tools & Orthopedics Co.
25 Yonghua Rd, Yonghe, GETDD, , Guangzhou, 511356, CN
Last Update: 05/12/2025
With decades of trusted experience and a long-term growth focus, Apex is investing in technology and expanding capacity to position ourself as an industry leader in developing and manufacturing complex orthopedics cutting tools, instruments and implants. We offer compre...

B. Braun Group
Carl-Braun-Straße 1, Melsungen, DE, 34212
Last Update: 08/09/2026
As a leading medical technology company, B. Braun protects and improves the health of people around the world. For more than 185 years, the family-owned company has been accelerating progress in health care with pioneering spirit and groundbreaking contributions. This i...
Compliance Ranges Comparison

Apex Tools & Orthopedics Co.







B. Braun Group






Benchmark & Cyber Underwriting Signals
Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)
No incidents recorded for Apex Tools & Orthopedics Co. in 2026.
Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)
No incidents recorded for B. Braun Group in 2026.
Incident History - Apex Tools & Orthopedics Co. (X = Date, Y = Severity)
Apex Tools & Orthopedics Co. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - B. Braun Group (X = Date, Y = Severity)
B. Braun Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Apex Tools & Orthopedics Co.

B. Braun 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