Comparison Overview
Greenbird Integration Technology
Greenbird Integration Technology
Storgata 1, Oslo, undefined, 0155, NO
Last Update: 12/03/2026
As many of you know, Greenbird is now part of GE Vernova's Grid Software business. Follow us on https://www.linkedin.com/showcase/gevernova-grid-software/ WE FUEL INNOVATION IN THE ENERGY BUSINESS There is a revolution going on in the energy business. Utilities depend...
Ingram Micro
3351 Michelson Drive, Suite 100, Irvine, 92612, US
Last Update: 14/09/2026
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufactur...
Compliance Ranges Comparison
Greenbird Integration Technology
Ingram Micro
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Greenbird Integration Technology in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
Ingram Micro has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Greenbird Integration Technology (X = Date, Y = Severity)
Greenbird Integration Technology cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ingram Micro (X = Date, Y = Severity)
Ingram Micro cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Greenbird Integration Technology
Ingram Micro
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.