Comparison Overview
Danieli Group
Danieli Group
Via Nazionale, 41, Buttrio, Udine, 33042, IT
Last Update: 08/09/2026
We are among the world’s top three manufacturers of plants and machines for the metals industry. The Group’s companies use their own technologies to manufacture and install competitive machines and plants worldwide, supplying both single units and turnkey plants. Our cu...
GRUNDFOS
Poul Due Jensens Vej 7, Bjerringbro, 8850, DK
Last Update: 15/09/2026
We’re a global leader in water solutions. Every day, our intelligent, energy-saving pumps and water solutions help provide comfort, deliver drinking water, remove wastewater or sustain crops all over the world. We want to ensure water is accessible and reliable for all....
Compliance Ranges Comparison
Danieli Group
GRUNDFOS
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
Danieli Group has 51.46% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for GRUNDFOS in 2026.
Incident History - Danieli Group (X = Date, Y = Severity)
Danieli Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - GRUNDFOS (X = Date, Y = Severity)
GRUNDFOS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Danieli Group
GRUNDFOS
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.