Comparison Overview
Austin & Co., Inc.
Austin & Co., Inc.
20 Corporate Woods Blvd., Albany, New York, 12211, US
Last Update: 03/01/2026
Austin & Co., Inc. is a private, independent business insurance and employee benefits consultant/broker. We continue to expand our knowledge, innovative services, and relationships with leading partners in order to be our client’s go-to resource for business insurance, ...
Mapfre
Carretera de Pozuelo, 52, Majadahonda, Community of Madrid, ES, 28220
Last Update: 03/09/2026
At Mapfre, we’ve spent more than 90 years supporting people and businesses around the world, taking care of what matters most to them. We offer insurance, financial, and service solutions that evolve with you. Our experience and commitment, combined with a constant focu...
Compliance Ranges Comparison
Austin & Co., Inc.
Mapfre
Benchmark & Cyber Underwriting Signals
Incidents vs Insurance Industry Avg (This Year)
No incidents recorded for Austin & Co., Inc. in 2026.
Incidents vs Insurance Industry Avg (This Year)
No incidents recorded for Mapfre in 2026.
Incident History - Austin & Co., Inc. (X = Date, Y = Severity)
Austin & Co., Inc. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Mapfre (X = Date, Y = Severity)
Mapfre cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Austin & Co., Inc.
Mapfre
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.