Comparison Overview
DHL

DHL
Charles-de-Gaulle-Str. 20, Bonn, DE, 53113
Last Update: 13/09/2026
DHL is the leading global brand in the logistics industry. Our divisions offer an unrivaled portfolio of logistics services ranging from national and international parcel delivery, e-commerce shipping and fulfillment solutions, international express, road, air and ocean...

Toll Group
Level 7, 380 St Kilda Road, Melbourne, VIC, AU, 3004
Last Update: 13/09/2026
At Toll, we do more than just logistics - we move the businesses that move the world. Our 16,000 team members can help solve any logistics, transport, or supply chain challenge – big or small. We have been supporting our customers for more than 130 years. Today, we supp...
Compliance Ranges Comparison

DHL







Toll Group






Benchmark & Cyber Underwriting Signals
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
DHL 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 Toll Group in 2026.
Incident History - DHL (X = Date, Y = Severity)
DHL cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Toll Group (X = Date, Y = Severity)
Toll Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

DHL

Toll Group
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.