Comparison Overview
Allianz Consulting
Allianz Consulting
Fritz-Schäffer-Straße 9, Munich, 81737, DE
Last Update: 23/12/2025
Allianz Consulting, part of Allianz Services, is the global in-house consultancy of the Allianz Group, established in 2004 with formal headquarters in Munich. Being the trusted advisor for one of the world's leading insurers and asset managers, we provide best-in-class...
Guidehouse
1676 International Dr, 800, McLean, Virginia, US, 22102
Last Update: 02/04/2026
Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, finan...
Compliance Ranges Comparison
Allianz Consulting
Guidehouse
Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Allianz Consulting in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Guidehouse in 2026.
Incident History - Allianz Consulting (X = Date, Y = Severity)
Allianz Consulting cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Guidehouse (X = Date, Y = Severity)
Guidehouse cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Allianz Consulting
Guidehouse
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.