Comparison Overview
ECSI, A Global Payments Company
ECSI, A Global Payments Company
1200 Cherrington Pkwy, Suite 200, Coraopolis, Pennsylvania, US, 15108
Last Update: 07/08/2026
ECSI, a Global Payments company, provides a full range of customizable solutions in support of the entire lifecycle of higher education and post-graduation. With 50 years of experience, 1,750+ clients nationwide, and a 99.9% client retention rate, ECSI is the largest pr...
McGill University
845 Sherbrooke Street West, Montreal, Qc, CA, H3A 2T5
Last Update: 01/04/2026
McGill University is one of Canada's best-known institutions of higher learning and one of the leading universities in the world. With students coming to McGill from some 150 countries, our student body is the most internationally diverse of any research-intensive unive...
Compliance Ranges Comparison
ECSI, A Global Payments Company
McGill University
Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for ECSI, A Global Payments Company in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for McGill University in 2026.
Incident History - ECSI, A Global Payments Company (X = Date, Y = Severity)
ECSI, A Global Payments Company cyber incidents detection timeline including parent company and subsidiaries.
Incident History - McGill University (X = Date, Y = Severity)
McGill University cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ECSI, A Global Payments Company
McGill University
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.