Comparison Overview
Barghausen Consulting Engineers
Barghausen Consulting Engineers
18215 72nd Ave S, None, Kent, WA, US, 98032
Last Update: 18/11/2025
Barghausen Consulting Engineers is now a Division of Core States Group. Established in 1982, Barghausen Consulting Engineers is one of the leading multi-disciplinary service firms offering civil engineering, land surveying, land use planning, and related services. We ...
Egis
15 avenue du Centre, Saint-Quentin-en-Yvelines , 78286, FR
Last Update: 12/09/2026
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and res...
Compliance Ranges Comparison
Barghausen Consulting Engineers
Egis
Benchmark & Cyber Underwriting Signals
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for Barghausen Consulting Engineers in 2026.
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for Egis in 2026.
Incident History - Barghausen Consulting Engineers (X = Date, Y = Severity)
Barghausen Consulting Engineers cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Egis (X = Date, Y = Severity)
Egis cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Barghausen Consulting Engineers
Egis
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.