Comparison Overview
Spark Power ⚡
Spark Power ⚡
1337 N Service Rd E, Oakville, L6H 1A7, CA
Last Update: 10/03/2026
Spark Power is a leading independent provider of end-to-end electrical services, operations and maintenance services, and energy sustainability solutions to the industrial, utility, and renewable asset markets in North America.
Verzani & Sandrini
Rua Marina, 487, São Paulo, São Paulo, 09070-510, BR
Last Update: 14/09/2026
Com uma história sólida de sucesso desde sua fundação em 1967, a Verzani & Sandrini se destaca como líder nacional em diversos serviços terceirizados. Presente em todo o Brasil com mais de 71 mil colaboradores, atendemos setores como shopping centers, indústrias, hospi...
Compliance Ranges Comparison
Spark Power ⚡
Verzani & Sandrini
Benchmark & Cyber Underwriting Signals
Incidents vs Facilities Services Industry Avg (This Year)
Spark Power ⚡ has 16.67% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Facilities Services Industry Avg (This Year)
No incidents recorded for Verzani & Sandrini in 2026.
Incident History - Spark Power ⚡ (X = Date, Y = Severity)
Spark Power ⚡ cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Verzani & Sandrini (X = Date, Y = Severity)
Verzani & Sandrini cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Spark Power ⚡
Verzani & Sandrini
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.