Comparison Overview
Dassault Systèmes

Dassault Systèmes
10, rue Marcel Dassault, Vélizy-Villacoublay, 78140, FR
Last Update: 06/09/2026
Dassault Systèmes is a catalyst for human progress. Since 1981, the company has pioneered virtual worlds to improve real life for consumers, patients and citizens. With Dassault Systèmes’ 3DEXPERIENCE platform, 370,000 customers of all sizes, in all industries, can co...

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

Dassault Systèmes







Epic






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Dassault Systèmes in 2026.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Epic in 2026.
Incident History - Dassault Systèmes (X = Date, Y = Severity)
Dassault Systèmes 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

Dassault Systèmes

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.