Comparison Overview
Sumitomo Electric Fusion Splicer

Sumitomo Electric Fusion Splicer
1-3-13 Motoakasaka, , Minato-ku, 107-8468, JP
Last Update: 02/04/2026
A Sumitomo Electric's fusion splicer is the ideal choice for increasing splicing efficiency in the field. From the core network to the last mile of FTTx networks, there’s a Sumitomo Electric fusion splicer that fits any application. Our service and maintenance providers...

Claro Brasil
Rua Henri Dunant, 780, São Paulo, 04709-110, BR
Last Update: 02/04/2026
Prazer, somos a Claro! Aqui, temos um grande time que faz tudo acontecer! É com o esforço e a dedicação de cada uma de nossas Pessoas que somos hoje referência no que fazemos, atuando unidos no nosso propósito, que é “Conectar para uma vida mais divertida e produtiva”....
Compliance Ranges Comparison

Sumitomo Electric Fusion Splicer







Claro Brasil






Benchmark & Cyber Underwriting Signals
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for Sumitomo Electric Fusion Splicer in 2026.
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for Claro Brasil in 2026.
Incident History - Sumitomo Electric Fusion Splicer (X = Date, Y = Severity)
Sumitomo Electric Fusion Splicer cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Claro Brasil (X = Date, Y = Severity)
Claro Brasil cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Sumitomo Electric Fusion Splicer

Claro Brasil
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