Comparison Overview
Legrand Baltics
Legrand Baltics
undefined, Tallinn, undefined, undefined, EE
Last Update: 21/01/2026
Legrand is a global leader in electronic and digital building infrastructures, offering a comprehensive range of state-of-the-art solutions for commercial, residential and industrial buildings. Our aim is to improve quality of life by transforming the spaces where peop...
Foxconn
US
Last Update: 12/09/2026
Established in Taiwan in 1974, Hon Hai Technology Group (Foxconn) (2317: Taiwan) is the world’s largest electronics manufacturer. Foxconn is also the leading technological solution provider, and it continuously leverages its expertise in software and hardware to integra...
Compliance Ranges Comparison
Legrand Baltics
Foxconn
Benchmark & Cyber Underwriting Signals
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Legrand Baltics in 2026.
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
Foxconn has 288.35% more incidents than the average of all companies with at least one recorded incident.
Incident History - Legrand Baltics (X = Date, Y = Severity)
Legrand Baltics cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Foxconn (X = Date, Y = Severity)
Foxconn cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Legrand Baltics
Foxconn
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.