Comparison Overview
Ortronics
Ortronics
125 Eugene O'Neill Drive, New London, Connecticut, 06320, US
Last Update: 09/03/2026
Ortronics products are leaders in network infrastructure solutions, offering a complete range of connectivity and physical support products. Legrand connects you to the people and resources that matter most, whether you need to run copper or fiber for a LAN, SAN, or dat...
Infosys BPM
Infosys BPM Limited, Plot no 26/3, 26/4, 26/6, Hosur Road, Electronics City, Bengaluru, 560100, IN
Last Update: 09/09/2026
Infosys BPM Ltd., the business process management subsidiary of Infosys Ltd. (NYSE: INFY), was set up in April 2002. Infosys BPM focuses on integrated end-to-end outsourcing and delivers transformational benefits to its clients through reduced costs, ongoing productivit...
Compliance Ranges Comparison
Ortronics
Infosys BPM
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Ortronics in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Infosys BPM in 2026.
Incident History - Ortronics (X = Date, Y = Severity)
Ortronics cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Infosys BPM (X = Date, Y = Severity)
Infosys BPM cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Ortronics
Infosys BPM
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.