Comparison Overview
Capgemini Invent
Capgemini Invent
Place de l'Etoile, 11 rue de Tilsitt, Paris, FR, 75017
Last Update: 14/09/2026
Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next f...
ELIS
18, Rue Hoche, Puteaux, 92800, FR
Last Update: 01/04/2026
As the leader in circular services at work, Elis ensures its clients achieve optimal hygiene, well-being and protection – everywhere, every day, in a sustainable way. We employ 54,000 people locally in 30 countries. We work for public and private organizations of all s...
Compliance Ranges Comparison
Capgemini Invent
ELIS
Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Capgemini Invent in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for ELIS in 2026.
Incident History - Capgemini Invent (X = Date, Y = Severity)
Capgemini Invent cyber incidents detection timeline including parent company and subsidiaries.
Incident History - ELIS (X = Date, Y = Severity)
ELIS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Capgemini Invent
ELIS
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.