Comparison Overview
Ginori 1735
Ginori 1735
Viale Giulio Cesare, 50, Sesto Fiorentino, Florence, IT, 50019
Last Update: 01/04/2026
GINORI 1735 has been for three centuries one of the main global brands in the field of luxury and lifestyle, the expression of Italian excellence in pure porcelain and in design. Part of Kering Group since 2013, GINORI 1735 has always been associated with great figures...
CHANEL
London, W1J 6TL, GB
Last Update: 14/09/2026
Chanel is a private company and world leader in creating, manufacturing and distributing luxury products, including Ready-to-Wear, Accessories, Fragrances, Makeup, Skincare, Jewellery and Watches. Founded by Gabrielle Chanel in 1910, the House remains dedicated to excep...
Compliance Ranges Comparison
Ginori 1735
CHANEL
Benchmark & Cyber Underwriting Signals
Incidents vs Retail Luxury Goods and Jewelry Industry Avg (This Year)
No incidents recorded for Ginori 1735 in 2026.
Incidents vs Retail Luxury Goods and Jewelry Industry Avg (This Year)
No incidents recorded for CHANEL in 2026.
Incident History - Ginori 1735 (X = Date, Y = Severity)
Ginori 1735 cyber incidents detection timeline including parent company and subsidiaries.
Incident History - CHANEL (X = Date, Y = Severity)
CHANEL cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Ginori 1735
CHANEL
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.