Comparison Overview
Americold Logistics, LLC.
Americold Logistics, LLC.
10 Glenlake Parkway, Atlanta, 30328, US
Last Update: 01/04/2026
Americold is a global leader in temperature-controlled logistics and real estate, with a more than 120-year legacy of innovation and reliability. With more than 230 facilities across North America, Europe, Asia-Pacific, and South America – totaling approximately 1.4 bil...
Kuehne+Nagel
Kuehne + Nagel, Schindellegi, 8834, CH
Last Update: 13/09/2026
With more than 82,000 employees at almost 1,300 sites in close to 100 countries, the Kuehne+Nagel Group is one of the world's leading logistics providers. Headquartered in Switzerland, Kuehne+Nagel is listed in the Swiss blue-chip stock market index, the SMI. The Grou...
Compliance Ranges Comparison
Americold Logistics, LLC.
Kuehne+Nagel
Benchmark & Cyber Underwriting Signals
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
Americold Logistics, LLC. has 29.08% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
No incidents recorded for Kuehne+Nagel in 2026.
Incident History - Americold Logistics, LLC. (X = Date, Y = Severity)
Americold Logistics, LLC. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Kuehne+Nagel (X = Date, Y = Severity)
Kuehne+Nagel cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Americold Logistics, LLC.
Kuehne+Nagel
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.