Comparison Overview
Umeå Marine Sciences Centre
Umeå Marine Sciences Centre
Norr Byn 557, None, Hörnefors, None, SE, 90571
Last Update: 20/12/2025
Based at Umeå University in Sweden, we are a dynamic environment for marine research, education and environmental monitoring. We have a public engagement portfolio around research and environmental status and have close links to the Departments of Ecology and Environmen...
CNRS
3 rue Michel-Ange, Paris, 75016, FR
Last Update: 01/04/2026
The French National Centre for Scientific Research is among the world's leading research institutions. Its scientists explore the living world, matter, the Universe, and the functioning of human societies in order to meet the major challenges of today and tomorrow. Inte...
Compliance Ranges Comparison
Umeå Marine Sciences Centre
CNRS
Benchmark & Cyber Underwriting Signals
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Umeå Marine Sciences Centre in 2026.
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for CNRS in 2026.
Incident History - Umeå Marine Sciences Centre (X = Date, Y = Severity)
Umeå Marine Sciences Centre cyber incidents detection timeline including parent company and subsidiaries.
Incident History - CNRS (X = Date, Y = Severity)
CNRS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Umeå Marine Sciences Centre
CNRS
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.