Comparison Overview
Bühler Group Wet Grinding & Dispersing
Bühler Group Wet Grinding & Dispersing
Gupfenstrasse 5, Uzwil, 9240, CH
Last Update: 20/02/2026
Our market-leading wet grinding and dispersing mills are packed with innovations designed to enhance your overall product quality. They reduce production complexity, cut production times and improve energy consumption.
Xylem
301 Water St SE, Washington, District of Columbia, US, 20003
Last Update: 08/09/2026
Xylem is the global leader in advanced technologies, solutions and services that address the world’s biggest water challenges. We enable our customers to dramatically improve the way water and wastewater is used, managed, conserved, re-used and returned to nature. At e...
Compliance Ranges Comparison
Bühler Group Wet Grinding & Dispersing
Xylem
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Bühler Group Wet Grinding & Dispersing in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Xylem in 2026.
Incident History - Bühler Group Wet Grinding & Dispersing (X = Date, Y = Severity)
Bühler Group Wet Grinding & Dispersing cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Xylem (X = Date, Y = Severity)
Xylem cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Bühler Group Wet Grinding & Dispersing
Xylem
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.