Comparison Overview
Danieli Centro Cranes
Danieli Centro Cranes
Via Nazionale, 41, Buttrio, 33042, IT
Last Update: 25/01/2026
Danieli Centro Cranes is the division of Danieli Group in charge of design and supply of Cranes and lifting systems for the Metal Industry. Since 1980’s, we have been providing our Customers with tailored solutions for lifting and handling of Materials & Equipment in th...
Rencol Components Ltd.
Unit 2, Avonbridge Trading Estate, Bristol, BS11 9QD, GB
Last Update: 08/09/2026
Following 100 years of successful design and manufacturing experience in plastic and metals, Rencol Components has built a truly global supply chain - rapidly expanding our range of high-quality, competitively-priced industrial components. Rencol has developed a mature...
Compliance Ranges Comparison
Danieli Centro Cranes
Rencol Components Ltd.
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Danieli Centro Cranes in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Rencol Components Ltd. in 2026.
Incident History - Danieli Centro Cranes (X = Date, Y = Severity)
Danieli Centro Cranes cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Rencol Components Ltd. (X = Date, Y = Severity)
Rencol Components Ltd. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Danieli Centro Cranes
Rencol Components Ltd.
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.