Comparison Overview
AIR MILES Reward Program

AIR MILES Reward Program
351 King St E suite 200, Toronto, Ontario, M5A 0L6, CA
Last Update: 03/04/2026
The AIR MILES Reward Program is one of Canada’s go-to loyalty programs, with participation from more than half of all Canadian households. Collectors can earn rewards at over 300 prime Canadian, global, and online brands. As part of our ongoing partner network expansio...

SEO
Melbourne, 3121, AU
Last Update: 14/09/2026
It’s been over 15 years since SEO.com.au started, and we’re proud to say we lead the way because we’ve got the experience and the talent to get you great results. What makes us work? Quite honestly, it’s the relationships we build with our clients that let us achieve wh...
Compliance Ranges Comparison

AIR MILES Reward Program







SEO






Benchmark & Cyber Underwriting Signals
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for AIR MILES Reward Program in 2026.
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for SEO in 2026.
Incident History - AIR MILES Reward Program (X = Date, Y = Severity)
AIR MILES Reward Program cyber incidents detection timeline including parent company and subsidiaries.
Incident History - SEO (X = Date, Y = Severity)
SEO cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

AIR MILES Reward Program

SEO
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.