Comparison Overview
BridgeNet International, A Tetra Tech Company
BridgeNet International, A Tetra Tech Company
20201 SW Birch Street, Newport Beach, 92660, US
Last Update: 15/03/2026
BridgeNet International, A Tetra Tech Company, is an industry leader in the software and service based solutions for noise, the environment and airspace design. With more than two decades of experience and original software solutions, the company identifies problems pre...
Dalkia
204 rue Sadi Carnot , Saint-André-Lez-Lille, 59350, FR
Last Update: 13/09/2026
Dalkia : ensemble, relevons le défi climatique ! Depuis 85 ans, Dalkia, filiale du groupe EDF et leader dans les services énergétiques, investit et développe les énergies renouvelables et de récupération et accompagne ses clients dans la durée pour les aider à faire des...
Compliance Ranges Comparison
BridgeNet International, A Tetra Tech Company
Dalkia
Benchmark & Cyber Underwriting Signals
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for BridgeNet International, A Tetra Tech Company in 2026.
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Dalkia in 2026.
Incident History - BridgeNet International, A Tetra Tech Company (X = Date, Y = Severity)
BridgeNet International, A Tetra Tech Company cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Dalkia (X = Date, Y = Severity)
Dalkia cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
BridgeNet International, A Tetra Tech Company
Dalkia
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.