Comparison Overview
Aon
Aon
122 Leadenhall Street, London, GB, EC3V 4AN
Last Update: 11/09/2026
We exist to shape decisions for the better — to protect and enrich the lives of people around the world. Through actionable analytic insight, globally integrated Risk Capital and Human Capital expertise, and locally relevant solutions, our colleagues provide clients in ...
Lloyds Banking Group
25 Gresham Street, London, EC2V 7HN, GB
Last Update: 15/09/2026
Our purpose is Helping Britain Prosper. We do this by creating a more sustainable and inclusive future for people and businesses, shaping finance as a force for good. We're part of an ever-changing industry and are currently on a journey to shape the financial services...
Compliance Ranges Comparison
Aon
Lloyds Banking Group
Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Aon in 2026.
Incidents vs Financial Services Industry Avg (This Year)
Lloyds Banking Group has 94.17% more incidents than the average of all companies with at least one recorded incident.
Incident History - Aon (X = Date, Y = Severity)
Aon cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Lloyds Banking Group (X = Date, Y = Severity)
Lloyds Banking Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Aon
Lloyds Banking Group
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.