Comparison Overview
Sabritec
Sabritec
1550 Scenic Ave Suite 150, Costa Mesa, CA, 92626, US
Last Update: 11/11/2025
Smiths Connectors Sabritec brand is synonymous with custom interconnect solutions for military, space/satellite, medical, telecom, commercial avionics and test & measurement applications. Sabritec specializes in the design and manufacture of coax, triax, filtered, and h...
Bharat Heavy Electricals Limited
Siri Fort Road, New Delhi, 110049, IN
Last Update: 16/09/2026
Established in 1964, BHEL is one of India's largest engineering and manufacturing enterprises in the energy and infrastructure sectors, and a leading power equipment manufacturer globally. BHEL serves the core sectors of the economy and provides a comprehensive portfoli...
Compliance Ranges Comparison
Sabritec
Bharat Heavy Electricals Limited
Benchmark & Cyber Underwriting Signals
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Sabritec in 2026.
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Bharat Heavy Electricals Limited in 2026.
Incident History - Sabritec (X = Date, Y = Severity)
Sabritec cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Bharat Heavy Electricals Limited (X = Date, Y = Severity)
Bharat Heavy Electricals Limited cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Sabritec
Bharat Heavy Electricals Limited
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.