Comparison Overview
Nidec Conversion

Nidec Conversion
Via Fratelli Gracchi 39, Cinisello Balsamo, Milano, 20092, IT
Last Update: 28/01/2026
Nidec Conversion is a Business Unit of Nidec Corporation, a global Japanese manufacturer and distributor of electric motors with +140,000 employees and plants/offices in +40 countries in the world. Nidec Conversion combines the expertise of Nidec ASI, Avtron Industria...

Havells India Ltd
QRG Towers, 2D, Sector 126, Noida, UP, IN, 201304
Last Update: 12/09/2026
Havells India Limited is a leading FMEG company with a strong global presence, manufacturing a wide range of electrical products for residential, commercial, and industrial use. Key brands include Havells, Havells Studio, Lloyd, Havells Crabtree, Standard Electricals an...
Compliance Ranges Comparison

Nidec Conversion







Havells India Ltd






Benchmark & Cyber Underwriting Signals
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Nidec Conversion in 2026.
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Havells India Ltd in 2026.
Incident History - Nidec Conversion (X = Date, Y = Severity)
Nidec Conversion cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Havells India Ltd (X = Date, Y = Severity)
Havells India Ltd cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Nidec Conversion

Havells India Ltd
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.