Comparison Overview
Biocair
Biocair
Iconix One, Iconix Park, Cambridge, CB22 3EG, GB
Last Update: 03/12/2025
Biocair is a global GDP logistics specialist with over 35 years of experience in the pharmaceutical, biotechnology and life sciences sectors. The company has built up a unique, client-centric approach by employing scientists in front-line logistics positions and assemb...
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
Biocair
Toll Group
Benchmark & Cyber Underwriting Signals
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
No incidents recorded for Biocair in 2026.
Incidents vs Transportation, Logistics, Supply Chain and Storage Industry Avg (This Year)
No incidents recorded for Toll Group in 2026.
Incident History - Biocair (X = Date, Y = Severity)
Biocair 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
Biocair
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.