Comparison Overview
ACG Schools
ACG Schools
117, 23 Edwin Street, Auckland, 1024, NZ
Last Update: 02/04/2026
ACG Schools is the largest independent school group in New Zealand, offering the most highly-awarded schools in Cambridge International exams. The schools provide a world-class, student-centred approach to learning, with globally recognised qualifications and an extensi...
Toronto District School Board
5050 Yonge Street, Toronto, M2N 5N8, CA
Last Update: 02/04/2026
The Toronto District School Board (TDSB) is the largest and one of the most diverse school boards in Canada, and recognized by Forbes and Statista as one of Canada's Best Employers for Diversity for 2023. We serve more than 239,000 students in 582 schools throughout Tor...
Compliance Ranges Comparison
ACG Schools
Toronto District School Board
Benchmark & Cyber Underwriting Signals
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for ACG Schools in 2026.
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for Toronto District School Board in 2026.
Incident History - ACG Schools (X = Date, Y = Severity)
ACG Schools cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Toronto District School Board (X = Date, Y = Severity)
Toronto District School Board cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ACG Schools
Toronto District School Board
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.