Comparison Overview
Jean Paul GAULTIER
Jean Paul GAULTIER
325 rue Saint-Martin, PARIS, FR
Last Update: 07/02/2026
Fondée par son créateur éponyme en 1976, la maison Jean Paul Gaultier est un paradoxe parisien – mêlant les codes du style français à une rébellion iconoclaste, la qualité de la couture à une sensibilité urbaine, le choc au chic. Réputé pour son tailoring audacieux et...
Richemont
Chemin de la Chênaie 50, Bellevue, Geneva, CH, 1293
Last Update: 05/09/2026
At Richemont, we craft the future. Our unique portfolio includes prestigious Maisons distinguished by their craftsmanship and creativity. Richemont’s ambition is to nurture its Maisons and businesses and enable them to grow and prosper in a responsible, sustainable mann...
Compliance Ranges Comparison
Jean Paul GAULTIER
Richemont
Benchmark & Cyber Underwriting Signals
Incidents vs Retail Luxury Goods and Jewelry Industry Avg (This Year)
No incidents recorded for Jean Paul GAULTIER in 2026.
Incidents vs Retail Luxury Goods and Jewelry Industry Avg (This Year)
No incidents recorded for Richemont in 2026.
Incident History - Jean Paul GAULTIER (X = Date, Y = Severity)
Jean Paul GAULTIER cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Richemont (X = Date, Y = Severity)
Richemont cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Jean Paul GAULTIER
Richemont
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.