Comparison Overview
Tragsatec
Tragsatec
N/A
Last Update: 27/04/2026
Tragsatec, founded in 1989, is one of the enterprises that form Tragsa Group, a holding of public companies member of the State Industrial Ownership Corporation (SEPI). It performs works of engineering and technical assistance in several fields that include: environm...
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...
Compliance Ranges Comparison
Tragsatec
Veolia | Water Tech
Benchmark & Cyber Underwriting Signals
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Tragsatec in 2026.
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Veolia | Water Tech in 2026.
Incident History - Tragsatec (X = Date, Y = Severity)
Tragsatec cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Veolia | Water Tech (X = Date, Y = Severity)
Veolia | Water Tech cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Tragsatec
Veolia | Water Tech
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.