Comparison Overview
Sogea Caroni - VINCI Construction France
Sogea Caroni - VINCI Construction France
106 quai de boulogne, Roubaix, 59100, FR
Last Update: 20/12/2025
Sogea Caroni, filiale du groupe VINCI Construction, est spécialisée dans les métiers complémentaires du bâtiment et du génie civil. L'entreprise intervient sur le territoire des Hauts-de-France.
NCC
Herrjärva Torg 4, Stockholm, Solna, SE, 170 67
Last Update: 14/09/2026
NCC is one of the leading construction companies in the Nordics. Based on its expertise in managing complex construction processes, NCC contributes to a positive impact of construction for its customers and society. NCC is one of the largest players in the Nordic cons...
Compliance Ranges Comparison
Sogea Caroni - VINCI Construction France
NCC
Benchmark & Cyber Underwriting Signals
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for Sogea Caroni - VINCI Construction France in 2026.
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for NCC in 2026.
Incident History - Sogea Caroni - VINCI Construction France (X = Date, Y = Severity)
Sogea Caroni - VINCI Construction France cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NCC (X = Date, Y = Severity)
NCC cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Sogea Caroni - VINCI Construction France
NCC
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.