Comparison Overview
Freyssinet Civil Engineering

Freyssinet Civil Engineering
13-15 Lyonpark Road, Macquarie Park, 2113, AU
Last Update: 10/03/2026
Freyssinet brings together an unparalleled array of specialist civil engineering expertise. Covering the design of structures, the production of materials and equipment and their implementation on site, Freyssinet offers integrated technical solutions in two major field...

Ferrovial
Amsterdam, NL
Last Update: 10/09/2026
Ferrovial is a leading global infrastructure company transforming highways, airports, and energy around the world. Its distinctive integrated business model supports the entire lifecycle of complex projects, from design and financing to construction, operation and maint...
Compliance Ranges Comparison

Freyssinet Civil Engineering







Ferrovial






Benchmark & Cyber Underwriting Signals
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for Freyssinet Civil Engineering in 2026.
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for Ferrovial in 2026.
Incident History - Freyssinet Civil Engineering (X = Date, Y = Severity)
Freyssinet Civil Engineering cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ferrovial (X = Date, Y = Severity)
Ferrovial cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Freyssinet Civil Engineering

Ferrovial
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.