Comparison Overview
Siemens Energy
Siemens Energy
N/A
Last Update: 17/09/2026
Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and servic...
ENGIE
1 place Samuel de Champlain, Paris, La défense, 92930, FR
Last Update: 05/09/2026
What if your next career adventure started with ENGIE? Joining ENGIE means being part of a company at the forefront of the energy transition, committed to accelerating the shift to a carbon-neutral economy. With 98,000 employees across 30 countries, ENGIE's operatio...
Compliance Ranges Comparison
Siemens Energy
ENGIE
Benchmark & Cyber Underwriting Signals
Incidents vs Renewable Energy Power Generation Industry Avg (This Year)
No incidents recorded for Siemens Energy in 2026.
Incidents vs Renewable Energy Power Generation Industry Avg (This Year)
No incidents recorded for ENGIE in 2026.
Incident History - Siemens Energy (X = Date, Y = Severity)
Siemens Energy cyber incidents detection timeline including parent company and subsidiaries.
Incident History - ENGIE (X = Date, Y = Severity)
ENGIE cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Siemens Energy
ENGIE
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.