Comparison Overview
Babcock - Marine sector
Babcock - Marine sector
Bristol, BS16 1EJ, GB
Last Update: 21/12/2025
Babcock’s Marine sector delivers an array of through-life support, training and technology solutions for marine platforms, systems and facilities for our customers in the UK and internationally. Using our core capabilities we provide specialist systems and technical exp...
Hapag-Lloyd AG
Ballindamm 25, Hamburg, 20095, DE
Last Update: 11/09/2026
With a fleet of 302 modern container ships and a total transport capacity of 2.5 million TEU, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has 15,200 employees and 400 offices in 140 countries. Hapag-Lloy...
Compliance Ranges Comparison
Babcock - Marine sector
Hapag-Lloyd AG
Benchmark & Cyber Underwriting Signals
Incidents vs Maritime Transportation Industry Avg (This Year)
No incidents recorded for Babcock - Marine sector in 2026.
Incidents vs Maritime Transportation Industry Avg (This Year)
Hapag-Lloyd AG has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Babcock - Marine sector (X = Date, Y = Severity)
Babcock - Marine sector cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Hapag-Lloyd AG (X = Date, Y = Severity)
Hapag-Lloyd AG cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Babcock - Marine sector
Hapag-Lloyd AG
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.