Comparison Overview
Spectrum Consulting
Spectrum Consulting
Level 12 Waterloo Towers, Auckland, Pacific/Auckland - (UTC+12:00), 1010, NZ
Last Update: 20/02/2026
Spectrum assists clients to find more value from technology. In today’s changing business landscape, Spectrum focus on Cloud, Data and Networks and Security solutions, the three key areas that will improve your business processes and deliver solutions today and tomorro...
FPT Software
FPT Bld., Duy Tan Str., Hanoi, 10xxx15xx, VN
Last Update: 05/09/2026
FPT Software, a subsidiary of FPT Corporation, is a global technology and IT services provider headquartered in Vietnam, with USD 1.22 billion in revenue (2024) and over 33,000 employees in 30 countries. Embracing an AI-first approach, FPT Software enables breakthroug...
Compliance Ranges Comparison
Spectrum Consulting
FPT Software
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Spectrum Consulting in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for FPT Software in 2026.
Incident History - Spectrum Consulting (X = Date, Y = Severity)
Spectrum Consulting cyber incidents detection timeline including parent company and subsidiaries.
Incident History - FPT Software (X = Date, Y = Severity)
FPT Software cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Spectrum Consulting
FPT Software
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.