Comparison Overview
SYNLAB Medical Digital Services

SYNLAB Medical Digital Services
Odeons Kvarter 19, 2.tv., Odense C, Syddanmark, DK, 5000
Last Update: 22/01/2026
SYNLAB Medical Digital Services har specialiseret sig i internationale IT-løsninger og infrastruktur, som anvendes af alle sundhedsvæsenets parter. Vi har mere end 15 års erfaring og unik viden om sundhedsvæsenets mange parter, de mange interesseorganisationer og talrig...

NiCE
221 River St, Hoboken, New Jersey, US, 07030
Last Update: 15/09/2026
NiCE is transforming the world with AI that puts people first. Our purpose-built AI-powered platforms automate engagements into proactive, safe, intelligent actions, empowering individuals and organizations to innovate and act, from interaction to resolution. Trusted b...
Compliance Ranges Comparison

SYNLAB Medical Digital Services







NiCE






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for SYNLAB Medical Digital Services in 2026.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for NiCE in 2026.
Incident History - SYNLAB Medical Digital Services (X = Date, Y = Severity)
SYNLAB Medical Digital Services cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NiCE (X = Date, Y = Severity)
NiCE cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

SYNLAB Medical Digital Services

NiCE
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.