Comparison Overview
metafinanz Informationssysteme GmbH
metafinanz Informationssysteme GmbH
Leopoldstraße 146, Munich, 80804, DE
Last Update: 31/03/2026
For over 35 years, metafinanz Informationssysteme GmbH, a business and IT consulting company, has been at the side of its customers in an increasingly digital and dynamic world. Our promise: We shine a new light on future viability. We enable our customers to find, deve...
NTT DATA, Inc.
Tokyo, JP
Last Update: 13/09/2026
NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digi...
Compliance Ranges Comparison
metafinanz Informationssysteme GmbH
NTT DATA, Inc.
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for metafinanz Informationssysteme GmbH in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for NTT DATA, Inc. in 2026.
Incident History - metafinanz Informationssysteme GmbH (X = Date, Y = Severity)
metafinanz Informationssysteme GmbH cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NTT DATA, Inc. (X = Date, Y = Severity)
NTT DATA, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
metafinanz Informationssysteme GmbH
NTT DATA, 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.