Comparison Overview
Mitsubishi Forklift Trucks - Logisnext Finland Oy
Mitsubishi Forklift Trucks - Logisnext Finland Oy
Vanha Porvoontie 229, 01380 VANTAA, undefined, undefined, FI
Last Update: 01/04/2026
Ergonomiset ja innovatiiviset trukit, palvelut ja ratkaisut tehostavat asiakkaidemme sisälogistiikan toimintoja ja vähentävät logistiikan kustannuksia. Olemme Mitsubishi Logisnext Europen (MLE) tytäryhtiö ja sen täysin omistama myyntiyhtiö. Päätoimipaikkamme sijaitsee ...
Arvato
Reinhard-Mohn-Str., Gütersloh, DE, 33333
Last Update: 14/09/2026
𝗪𝗲 𝘀𝗵𝗮𝗽𝗲 𝘀𝘂𝗽𝗽𝗹𝘆 𝗰𝗵𝗮𝗶𝗻𝘀 𝗴𝗹𝗼𝗯𝗮𝗹𝗹𝘆 Logistics seems so simple – just goods in, goods out. For us there is so much more to it. By combining deep industry expertise with the right technologies, we develop innovative supply chain management and e-c...
Compliance Ranges Comparison
Mitsubishi Forklift Trucks - Logisnext Finland Oy
Arvato
Benchmark & Cyber Underwriting Signals
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
No incidents recorded for Mitsubishi Forklift Trucks - Logisnext Finland Oy in 2026.
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
No incidents recorded for Arvato in 2026.
Incident History - Mitsubishi Forklift Trucks - Logisnext Finland Oy (X = Date, Y = Severity)
Mitsubishi Forklift Trucks - Logisnext Finland Oy cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Arvato (X = Date, Y = Severity)
Arvato cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Mitsubishi Forklift Trucks - Logisnext Finland Oy
Arvato
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.