Comparison Overview
Stefanini Brasil
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...
Accenture
Grand Canal Harbour, Dublin 2, IE
Last Update: 14/09/2026
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the s...
Compliance Ranges Comparison
Stefanini Brasil
Accenture
Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Stefanini Brasil in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
Accenture has 288.35% more incidents than the average of all companies with at least one recorded incident.
Incident History - Stefanini Brasil (X = Date, Y = Severity)
Stefanini Brasil cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Accenture (X = Date, Y = Severity)
Accenture cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Stefanini Brasil
Accenture
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.