Comparison Overview
ALTEN Finland

ALTEN Finland
Hermannin rantatie 6-8, Helsinki, Uusimaa, 00580, FI
Last Update: 22/02/2026
ALTEN Finlandilla yhdistyvät motivoituneet ihmiset, asiantuntijatason osaaminen ja korkea laatu. Tarjoamme räätälöityjä ratkaisuja suunnittelu- ja ohjelmistopalveluratkaisuja aina esisuunnittelusta ja konseptisuunnittelusta kokonaisvaltaiseen projektin toteutukseen ja h...

Inetum
5, Rue Touzet Gaillard, St.-Ouen, Île-de-France, FR, 93400
Last Update: 07/09/2026
Inetum is a European leader in digital services. Inetum’s team of 27,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and inno...
Compliance Ranges Comparison

ALTEN Finland







Inetum






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for ALTEN Finland in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Inetum in 2026.
Incident History - ALTEN Finland (X = Date, Y = Severity)
ALTEN Finland cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Inetum (X = Date, Y = Severity)
Inetum cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

ALTEN Finland

Inetum
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.