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...
Herbalife
800 W Olympic Blvd, Los Angeles, CA, US, 90015
Last Update: 11/09/2026
Herbalife is a global health and wellness community born to support you in living your best life. For over 40 years and in more than 90 countries, we’ve empowered millions of people to make real changes to their lives with our science-backed products, the support of a c...
Compliance Ranges Comparison
Quirónsalud
Herbalife
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 Herbalife in 2026.
Incident History - Quirónsalud (X = Date, Y = Severity)
Quirónsalud cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Herbalife (X = Date, Y = Severity)
Herbalife cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Quirónsalud
Herbalife
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.