Comparison Overview
Franklin County Data Center (FCDC)

Franklin County Data Center (FCDC)
373 S High St, Columbus, 43215, US
Last Update: 02/04/2026
FCDC provides cost-effective, business-driven, collaborative, and secure IT services and solutions to public service agencies throughout Ohio’s most dynamic county. Our goals are simple, but expansive: to be the most trusted enterprise technology service provider for Fr...

Zoom
55 Almaden Blvd., 6th Floor, San Jose, CA 95113, San Jose, 95113, US
Last Update: 10/09/2026
Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video com...
Compliance Ranges Comparison

Franklin County Data Center (FCDC)







Zoom






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Franklin County Data Center (FCDC) in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
Zoom has 488.24% more incidents than the average of all companies with at least one recorded incident.
Incident History - Franklin County Data Center (FCDC) (X = Date, Y = Severity)
Franklin County Data Center (FCDC) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Zoom (X = Date, Y = Severity)
Zoom cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Franklin County Data Center (FCDC)

Zoom
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