Comparison Overview
Optim'Appro
Optim'Appro
Rue Thomas Edison, Carquefou, 44470, FR
Last Update: 26/03/2026
🔹 Optim’Appro | La solution sur-mesure pour les restaurants auto-gérés Chez Optim’Appro, nous accompagnons les sites de restauration en auto-gestion qui souhaitent rester indépendants tout en gagnant en efficacité. Notre approche repose sur 3 piliers clés : 👥 Une éq...
Suntory Holdings Limited
daiba 2-3-3, Minato-ku,, JP
Last Update: 14/09/2026
As a global leader in the beverage industry, Suntory Group aims to inspire the brilliance of life, by creating rich experiences for people, in harmony with nature. Sustained by the gifts of nature and water, the Group offers a uniquely diverse portfolio of products, fro...
Compliance Ranges Comparison
Optim'Appro
Suntory Holdings Limited
Benchmark & Cyber Underwriting Signals
Incidents vs Food and Beverage Services Industry Avg (This Year)
No incidents recorded for Optim'Appro in 2026.
Incidents vs Food and Beverage Services Industry Avg (This Year)
No incidents recorded for Suntory Holdings Limited in 2026.
Incident History - Optim'Appro (X = Date, Y = Severity)
Optim'Appro cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Suntory Holdings Limited (X = Date, Y = Severity)
Suntory Holdings Limited cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Optim'Appro
Suntory Holdings Limited
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.