Comparison Overview
DOLBIX CONSULTING Inc.
DOLBIX CONSULTING Inc.
日本橋室町2-1-1, 中央区, 東京都, 103-0022, JP
Last Update: 10/12/2025
DOLBIXは、丸紅100％出資のDXコンサルティングファームです。 戦略とDXの知見を持つプロフェッショナルが集結しており、 【１】DXの目的としてのビジネスと、手段であるITの両面でコンサルティングを行い、 【２】丸紅グループの持つ事業資産を活かしたハンズオン支援を行い、 【３】グループ内の社会基盤に関わる事業へのDXコンサルティングの知見をグループ外にも展開することで、 日本のDXを先導します。
Stefanini Brasil
Avenida Eusébio Matoso 1375, São Paulo, 05423-905, BR
Last Update: 14/09/2026
Global Tech Consulting Company All in One. Stefanini is a Brazilian multinational company with 37 years of experience and presence in 41 countries. With more than 38,000 employees, we co-create solutions for a better future, driving digital transformation with a focu...
Compliance Ranges Comparison
DOLBIX CONSULTING Inc.
Stefanini Brasil
Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for DOLBIX CONSULTING Inc. in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Stefanini Brasil in 2026.
Incident History - DOLBIX CONSULTING Inc. (X = Date, Y = Severity)
DOLBIX CONSULTING Inc. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Stefanini Brasil (X = Date, Y = Severity)
Stefanini Brasil cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
DOLBIX CONSULTING Inc.
Stefanini Brasil
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.