Comparison Overview
Conforama
Conforama
80 boulevard du Mandinet, 77432 Marne La Vallée - Cedex 2, FR
Last Update: 30/03/2026
Conforama is a major player in the home equipment in Europe. The brand is a multi specialist and offers its customers in the same store, a full range of furniture, decorative items, household appliances and entertainment electronics. Conforama is based on two fundam...
Sunbelt Rentals, Inc.
1799 Innovation Pt, Fort Mill, 29715, US
Last Update: 02/04/2026
At Sunbelt Rentals, we provide the tools, equipment, and support our customers need to build and maintain the world around us. With locations across the U.S. and Canada and a team of passionate experts, we're here to ensure our customers have what they need to get the ...
Compliance Ranges Comparison
Conforama
Sunbelt Rentals, Inc.
Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Conforama in 2026.
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Sunbelt Rentals, Inc. in 2026.
Incident History - Conforama (X = Date, Y = Severity)
Conforama cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Sunbelt Rentals, Inc. (X = Date, Y = Severity)
Sunbelt Rentals, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Conforama
Sunbelt Rentals, Inc.
FAQ
Latest Global CVEs
vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/push_worker.py#L162-L181
- https://github.com/vllm-project/vllm/pull/55677
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests
redis-parser through 3.0.0 contains a denial of service vulnerability in the RESP protocol parser that allows malicious Redis endpoints to crash the client process through unbounded recursion on nested arrays. Attackers can send crafted RESP byte streams with repeated array headers that exhaust the V8 call stack, causing an uncaught RangeError that terminates the Node.js process without triggering error handling callbacks.
- https://github.com/NodeRedis/node-redis-parser
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L204-L213
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L291-L306
- https://github.com/redis/ioredis/issues/2108
- https://www.vulncheck.com/advisories/redis-parser-through-3.0.0-denial-of-service-via-unbounded-recursion
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Cosmos DB allows an authorized attacker to elevate privileges over a network.
Server-side request forgery (ssrf) in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.
Missing authentication for critical function in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.