Comparison Overview
American Plumbing & Heating
American Plumbing & Heating
1000 Cordwainer Drive, None, Norwell, MA, US, 02061
Last Update: 03/04/2026
American Plumbing and Heating Corporation is a leading Boston commercial plumbing contractor for biotechnology, pharmaceutical, medical and industrial piping systems. We specialize in plumbing and fire protection work for universities, educational and research instit...
Johnson Controls
Milwaukee, Cork, Ireland, IE, T12 X8N6
Last Update: 07/09/2026
At Johnson Controls, we transform the environments where people live, work, learn and play. As the global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Building on ...
Compliance Ranges Comparison
American Plumbing & Heating
Johnson Controls
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for American Plumbing & Heating in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Johnson Controls in 2026.
Incident History - American Plumbing & Heating (X = Date, Y = Severity)
American Plumbing & Heating cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Johnson Controls (X = Date, Y = Severity)
Johnson Controls cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
American Plumbing & Heating
Johnson Controls
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.