Comparison Overview
Cencora
Cencora
N/A
Last Update: 09/09/2026
Cencora, a company building on the legacy of AmerisourceBergen, is a leading global pharmaceutical solutions organization centered on improving the lives of people and animals around the world. We connect manufacturers, providers, and patients to ensure that anyone can ...
University of Maryland Medical System
22 S. Greene St, Baltimore, MD, US, 21201
Last Update: 10/09/2026
The University of Maryland Medical System (UMMS) was created in 1984 when the state-owned University Hospital became a private, nonprofit organization. It has evolved into a multi-hospital system with academic, community and specialty service missions reaching every par...
Compliance Ranges Comparison
Cencora
University of Maryland Medical System
Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Cencora in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for University of Maryland Medical System in 2026.
Incident History - Cencora (X = Date, Y = Severity)
Cencora cyber incidents detection timeline including parent company and subsidiaries.
Incident History - University of Maryland Medical System (X = Date, Y = Severity)
University of Maryland Medical System cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Cencora
University of Maryland Medical System
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.