Comparison Overview
BSH Home Appliances India

BSH Home Appliances India
N/A
Last Update: 07/02/2026
BSH Home Appliances, a subsidiary of BSH Hausgeräte GmbH, stands as a leader in the premium home appliance industry and the first triple-brand player in India, proudly offering iconic brands like Bosch, Siemens, and Gaggenau. Over the years, BSH has become synonymous wi...

General Mills
One General Mills Boulevard, Minneapolis, 55426, US
Last Update: 13/09/2026
We exist to make food the world loves. But we do more than that. General Mills is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their...
Compliance Ranges Comparison

BSH Home Appliances India







General Mills






Benchmark & Cyber Underwriting Signals
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for BSH Home Appliances India in 2026.
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for General Mills in 2026.
Incident History - BSH Home Appliances India (X = Date, Y = Severity)
BSH Home Appliances India cyber incidents detection timeline including parent company and subsidiaries.
Incident History - General Mills (X = Date, Y = Severity)
General Mills cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

BSH Home Appliances India

General Mills
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.