Comparison Overview
thyssenkrupp
thyssenkrupp
thyssenkrupp Allee 1, Essen, 45143, DE
Last Update: 07/09/2026
thyssenkrupp is an international industrial and technology group with more than 93,000 employees. In the fiscal year 2024/2025, the company generated sales of around €33 billion in 48 countries. Its business activities are bundled in five segments: Automotive Technology...
Flowserve Corporation
5215 N. O'Connor Blvd., Irving, 75039, US
Last Update: 13/09/2026
Flowserve is one of the world's largest manufacturers of pumps, valves and seals with over 16,000 employees across 50 countries. Built on more than 50 world-renowned heritage brands, the equity and customer loyalty we have earned over the past 230 years is the foundatio...
Compliance Ranges Comparison
thyssenkrupp
Flowserve Corporation
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for thyssenkrupp in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Flowserve Corporation in 2026.
Incident History - thyssenkrupp (X = Date, Y = Severity)
thyssenkrupp cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Flowserve Corporation (X = Date, Y = Severity)
Flowserve Corporation cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
thyssenkrupp
Flowserve Corporation
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.