Comparison Overview
ResultsCX
ResultsCX
1700 Markley St, Suite 210, Norristown, Pennsylvania, US, 19401
Last Update: 05/04/2026
ResultsCX is a leading provider of transformational Customer Experience Management (CXM) solutions to 75+ global brands, including Fortune 100 and 500 companies. For 30+ years, we have been driving superior customer and business outcomes for brands across Healthcare, Me...
VFS Global
Unit 201, Level 2, Gate Village 8, DIFC, P.O. Box 114100, Dubai, AE
Last Update: 16/07/2026
As the global leader in trusted technology services, empowering secure mobility for governments and citizens, VFS Global embraces technological innovation including Generative AI to support governments and diplomatic missions worldwide. VFS Global continuously transform...
Compliance Ranges Comparison
ResultsCX
VFS Global
Benchmark & Cyber Underwriting Signals
Incidents vs Outsourcing and Offshoring Consulting Industry Avg (This Year)
No incidents recorded for ResultsCX in 2026.
Incidents vs Outsourcing and Offshoring Consulting Industry Avg (This Year)
VFS Global has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - ResultsCX (X = Date, Y = Severity)
ResultsCX cyber incidents detection timeline including parent company and subsidiaries.
Incident History - VFS Global (X = Date, Y = Severity)
VFS Global cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ResultsCX
VFS Global
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.