Comparison Overview
LinkedIn

1000 W Maude, Sunnyvale, CA, US, 94085
Last Update: 13/09/2026
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company h...

Epic
1979 Milky Way, Verona, WI, US, 53593
Last Update: 10/09/2026
Join us in our mission to help the world get well, help the world stay well, and help future generations be healthier. We hire smart and motivated people from all academic majors to code, test, and implement healthcare software that hundreds of millions of patients and...
Compliance Ranges Comparison








Epic






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
LinkedIn has 180.37% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Epic in 2026.
Incident History - LinkedIn (X = Date, Y = Severity)
LinkedIn cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Epic (X = Date, Y = Severity)
Epic cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents


Epic
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.