Comparison Overview
BSH Home Appliances Taiwan
BSH Home Appliances Taiwan
內湖區洲子街107號, 台北市, 114, TW
Last Update: 22/04/2026
BSH Home Appliances Group is one of the world's leading companies in its sector and the largest home appliances manufacturer in Europe. Alongside the global brands Bosch and Siemens, as well as Gaggenau and Neff, the portfolio also includes the local brands Thermador, ...
Alpargatas S.A.
Av. das Nações Unidas, 14.261, São Paulo, 04794-000, BR
Last Update: 12/09/2026
We are a global company, founded and based in Brazil for over 115 years. We are committed to delight the world with amazing brands, that convey lightness and joy to the everyday lives of our consumers. We own Havaianas brand, world leader in open shoes, known for the ic...
Compliance Ranges Comparison
BSH Home Appliances Taiwan
Alpargatas S.A.
Benchmark & Cyber Underwriting Signals
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for BSH Home Appliances Taiwan in 2026.
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Alpargatas S.A. in 2026.
Incident History - BSH Home Appliances Taiwan (X = Date, Y = Severity)
BSH Home Appliances Taiwan cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Alpargatas S.A. (X = Date, Y = Severity)
Alpargatas S.A. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
BSH Home Appliances Taiwan
Alpargatas S.A.
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.