Comparison Overview
Veolia | Water Tech
Veolia | Water Tech
30, Rue Madeleine Vionnet, Aubervilliers, Île-de-France, FR, 93300
Last Update: 13/09/2026
As the world leader in water technologies and services, Veolia relies on its 17,500 water technology experts to deliver innovative solutions that drive both performance and sustainability, without compromise. With over 4,400 technology patents and serving more than 14,0...
Eiffage Énergie Systèmes
3-7 place de l’Europe, Vélizy-Villacoublay, 78140, FR
Last Update: 13/09/2026
Rejoindre Eiffage, c’est rejoindre une entreprise animée d’un esprit de famille unique. Nous recherchons des talents qui valorisent l’esprit d’équipe et l’entraide et qui souhaitent découvrir, progresser, innover dans un collectif engagé pour construire un avenir à tai...
Compliance Ranges Comparison
Veolia | Water Tech
Eiffage Énergie Systèmes
Benchmark & Cyber Underwriting Signals
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Veolia | Water Tech in 2026.
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Eiffage Énergie Systèmes in 2026.
Incident History - Veolia | Water Tech (X = Date, Y = Severity)
Veolia | Water Tech cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Eiffage Énergie Systèmes (X = Date, Y = Severity)
Eiffage Énergie Systèmes cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Veolia | Water Tech
Eiffage Énergie Systèmes
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.