Comparison Overview
Tecnicas Reunidas

Tecnicas Reunidas
Avenida de Burgos, 89, Madrid, Community of Madrid, ES
Last Update: 01/04/2026
TR is an international general contractor engaged in the engineering and construction of industrial facilities in the fields of: -Oil & Gas -Refining & Petrochemical -Power Generation -Infrastructures and industries -Energy Transition Engaging in the engineering, desi...

Quest Global
7, Temasek Boulevard,, #09-04 Suntec Tower One,, Singapore, SG, 038987
Last Update: 01/04/2026
We are Quest Global. We’re in the business of engineering, but what we’re really building is a brighter future. It’s not just what we do, but why we do it that makes us different. We believe engineering has the unique opportunity to solve the problems of today that stan...
Compliance Ranges Comparison

Tecnicas Reunidas







Quest Global






Benchmark & Cyber Underwriting Signals
Incidents vs Engineering Services Industry Avg (This Year)
No incidents recorded for Tecnicas Reunidas in 2026.
Incidents vs Engineering Services Industry Avg (This Year)
Quest Global has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Tecnicas Reunidas (X = Date, Y = Severity)
Tecnicas Reunidas cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Quest Global (X = Date, Y = Severity)
Quest Global cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Tecnicas Reunidas

Quest Global
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.