Comparison Overview
Wavemaker Australia & New Zealand
Wavemaker Australia & New Zealand
1 Shelley Street, Sydney, New South Wales, 2000, AU
Last Update: 09/03/2026
At Wavemaker we believe there is always a better way to grow. We know that growth models of the past will not serve the future. Established approaches and traditional thinking are being exploded in every sector, in every market. But exceptional growth requires uncomfort...
Ogilvy
175 Greenwich St, New York, NY, US, 10007
Last Update: 08/09/2026
Ogilvy has been creating impact for brands through iconic, culture-changing, value-driving ideas since the company was founded by David Ogilvy 75 years ago. We build on that rich legacy through Borderless Creativity – innovating at the intersections of its advertising, ...
Compliance Ranges Comparison
Wavemaker Australia & New Zealand
Ogilvy
Benchmark & Cyber Underwriting Signals
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for Wavemaker Australia & New Zealand in 2026.
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for Ogilvy in 2026.
Incident History - Wavemaker Australia & New Zealand (X = Date, Y = Severity)
Wavemaker Australia & New Zealand cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ogilvy (X = Date, Y = Severity)
Ogilvy cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Wavemaker Australia & New Zealand
Ogilvy
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.