Comparison Overview
A*STAR Future of Manufacturing
A*STAR Future of Manufacturing
1 Fusionopolis Way, #20-10 Connexis North Tower, Singapore, 138632, SG
Last Update: 19/02/2026
A*STAR spearheads economic-oriented research to advance scientific discovery and develop innovative technology. We collaborate with partners in both the public and private sectors to benefit society.
Politecnico di Milano
Piazza Leonardo da Vinci, 32, Milano, IT
Last Update: 01/04/2026
Politecnico Milano is a scientific-technological university which trains engineers, architects and designers. The University has always focused on the quality and innovation of its teaching and research, developing a fruitful relationship with business and productive w...
Compliance Ranges Comparison
A*STAR Future of Manufacturing
Politecnico di Milano
Benchmark & Cyber Underwriting Signals
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for A*STAR Future of Manufacturing in 2026.
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Politecnico di Milano in 2026.
Incident History - A*STAR Future of Manufacturing (X = Date, Y = Severity)
A*STAR Future of Manufacturing cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Politecnico di Milano (X = Date, Y = Severity)
Politecnico di Milano cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
A*STAR Future of Manufacturing
Politecnico di Milano
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.