Comparison Overview
Quirónsalud
Quirónsalud
Calle de Zurbarán, Madrid, Comunidad de Madrid, 28010, ES
Last Update: 03/04/2026
Quirónsalud es el grupo de salud líder en España y, junto con su matriz Fresenius-Helios, también en Europa. Además de su actividad en España, Quirónsalud está también presente en Latinoamérica. Conjuntamente, cuenta con más de 50.000 profesionales en más de 180 centros...
Massage Envy
14350 N. 87th St., Suite 200, Scottsdale, 85260, US
Last Update: 30/03/2026
Massage Envy is a leading wellness franchise providing professional massage, skin care, and assisted stretch services nationwide. Co-founded by a massage therapist in 2002, the brand’s mission is simple: make total body care accessible and affordable so people can feel ...
Compliance Ranges Comparison
Quirónsalud
Massage Envy
Benchmark & Cyber Underwriting Signals
Incidents vs Wellness and Fitness Services Industry Avg (This Year)
No incidents recorded for Quirónsalud in 2026.
Incidents vs Wellness and Fitness Services Industry Avg (This Year)
No incidents recorded for Massage Envy in 2026.
Incident History - Quirónsalud (X = Date, Y = Severity)
Quirónsalud cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Massage Envy (X = Date, Y = Severity)
Massage Envy cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Quirónsalud
Massage Envy
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.