Comparison Overview
ASAC
ASAC
Edificio ASAC, Parque Tecnológico de Asturias, Llanera, Asturias, ES, 33420
Last Update: 09/03/2026
Somos una empresa de Consultoría Tecnológica que desde 1996 ayudamos a entidades públicas y privadas a su digitalización. La compañía está especializada en infraestructuras tecnológicas tanto en entornos on-premise, Cloud (propio de ASAC, público e híbrido), para empr...
Ricoh USA, Inc.
300 Eagleview Blvd, Exton, 19341, US
Last Update: 10/09/2026
At Ricoh, we bring people, processes, and technology together to make information work for you. We unlock the power of information so organizations can unlock the full potential of their people. We're a leader in information management and digital services, creating com...
Compliance Ranges Comparison
ASAC
Ricoh USA, Inc.
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for ASAC in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Ricoh USA, Inc. in 2026.
Incident History - ASAC (X = Date, Y = Severity)
ASAC cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ricoh USA, Inc. (X = Date, Y = Severity)
Ricoh USA, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ASAC
Ricoh USA, Inc.
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.