Comparison Overview
Actemium

Actemium
N/A
Last Update: 11/03/2026
Actemium is the industry brand of VINCI Energies. Focusing on a continuous optimization of industrial performance, Actemium accompanies customers in a smooth way into the new industrial era. The network, comprising with 400 agile & self-learning Business Units speciali...

Siemens
Werner-von-Siemens-Straße 1, Munich, 80333, DE
Last Update: 16/09/2026
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens emp...
Compliance Ranges Comparison

Actemium







Siemens






Benchmark & Cyber Underwriting Signals
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Actemium in 2026.
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
Siemens has 482.52% more incidents than the average of all companies with at least one recorded incident.
Incident History - Actemium (X = Date, Y = Severity)
Actemium cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Siemens (X = Date, Y = Severity)
Siemens cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Actemium

Siemens
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.