Comparison Overview
CloroxPro

CloroxPro
4900 Johnson Drive, Pleasanton, 94588, US
Last Update: 04/04/2026
Building on a century-long legacy in cleaning and disinfecting, CloroxPro offers some of the industry's most recognized and trusted brand names for commercial cleaning, including its Clorox Healthcare products and technologies for healthcare facilities. Whether it is sc...

Grupo GPS
Avenida Miguel Frias e Vasconcelos, 1205 - Jaguaré, São Paulo, 05345000, BR
Last Update: 14/09/2026
Fundado em 1962, em Salvador, o Grupo GPS é um grupo empresarial composto por empresas atuantes no mercado brasileiro de serviços indoor: GPS – Gerenciamento de segurança patrimonial Predial – Soluções em infra serviços In-Haus – Logística flexível traduzida em resulta...
Compliance Ranges Comparison

CloroxPro







Grupo GPS






Benchmark & Cyber Underwriting Signals
Incidents vs Facilities Services Industry Avg (This Year)
No incidents recorded for CloroxPro in 2026.
Incidents vs Facilities Services Industry Avg (This Year)
No incidents recorded for Grupo GPS in 2026.
Incident History - CloroxPro (X = Date, Y = Severity)
CloroxPro cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Grupo GPS (X = Date, Y = Severity)
Grupo GPS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

CloroxPro

Grupo GPS
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.