Comparison Overview
Cisco Community

Cisco Community
170 W Tasman Dr, San Jose, 95134, US
Last Update: 09/03/2026
A peer-to-peer online community where Cisco, customers and partners collaborate, co-create, share and learn. Community members connect to ask and answer questions, exchange ideas, voice opinions, and learn about current and upcoming Cisco products and services. #Cisco...

Hitachi
1-6-6, Marunouchi, Chiyoda-ku, Tokyo, Japan, JP, 100-8280
Last Update: 13/09/2026
For over 100 years, Hitachi has been committed to developing innovations that improve lives. Today, this means creating superior technology and products that balance environment, well-being, and economic growth. We integrate IT, operational technology (OT), and produc...
Compliance Ranges Comparison

Cisco Community







Hitachi






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Cisco Community in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Hitachi in 2026.
Incident History - Cisco Community (X = Date, Y = Severity)
Cisco Community cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Hitachi (X = Date, Y = Severity)
Hitachi cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Cisco Community

Hitachi
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.