Comparison Overview
Flexaseal Engineered Seals and Systems, LLC

Flexaseal Engineered Seals and Systems, LLC
291 Hurricane Lane, Williston, 05495, US
Last Update: 03/04/2026
Flexaseal Engineered Seals and Systems, a trusted partner for premium mechanical seals and innovative sealing solutions, caters to diverse industrial sectors with expertise in designing and manufacturing high-performance seals for rotating equipment like pumps, mixers, ...

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

Flexaseal Engineered Seals and Systems, LLC







Xylem






Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Flexaseal Engineered Seals and Systems, LLC in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Xylem in 2026.
Incident History - Flexaseal Engineered Seals and Systems, LLC (X = Date, Y = Severity)
Flexaseal Engineered Seals and Systems, LLC 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

Flexaseal Engineered Seals and Systems, LLC

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.