Comparison Overview
Wolters Kluwer Australia

Wolters Kluwer Australia
66 Talavera Rd, Macquarie Park, New South Wales, 2113, AU
Last Update: 23/02/2026
Wolters Kluwer Australia is a leading tax and accounting software provider and business publisher in Tax, Accounting & Financial Planning, Corporate & Business Law, Environment, HR, Employment & Safety. For more than 40 years, Wolters Kluwer Australia has been build...

Unisys
801 Lakeview Drive, Blue Bell, Pennsylvania, US, 19422
Last Update: 07/09/2026
Unisys is a global technology solutions company that powers breakthroughs for the world’s leading organizations. Our solutions – cloud, AI, digital workplace, logistics and enterprise computing – help our clients challenge the status quo and unlock their full potential....
Compliance Ranges Comparison

Wolters Kluwer Australia







Unisys






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Wolters Kluwer Australia in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Unisys in 2026.
Incident History - Wolters Kluwer Australia (X = Date, Y = Severity)
Wolters Kluwer Australia cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Unisys (X = Date, Y = Severity)
Unisys cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Wolters Kluwer Australia

Unisys
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.