Comparison Overview
Synesis International, Inc.
Synesis International, Inc.
30 Creekview Ct., Greenville, SC, 29615, US
Last Update: 22/02/2026
Synesis International, Inc. is a full service business systems consulting firm. We provide a complete spectrum of systems planning, analysis and design-to-implementation for manufacturing, distribution, energy and service industries. We are a Southeast leader in enterpr...
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
Synesis International, Inc.
FPT Software
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Synesis International, Inc. in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for FPT Software in 2026.
Incident History - Synesis International, Inc. (X = Date, Y = Severity)
Synesis International, Inc. 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
Synesis International, Inc.
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.