Comparison Overview
Norton Gold Fields Pty Ltd

Norton Gold Fields Pty Ltd
undefined, Kalgoorlie-Boulder, WA, 6430, AU
Last Update: 20/03/2026
Norton Gold Fields Pty Ltd (Norton or “the Company”) is one of Australia’s largest domestic gold producers, with recent annual production of up to 200,000 ounces. The Company has a mining and processing complex in Western Australia’s world-class Kalgoorlie gold region...

Glencore
Baarermattstrasse 3, Baar, 6340, CH
Last Update: 12/09/2026
Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process,...
Compliance Ranges Comparison

Norton Gold Fields Pty Ltd







Glencore






Benchmark & Cyber Underwriting Signals
Incidents vs Mining Industry Avg (This Year)
No incidents recorded for Norton Gold Fields Pty Ltd in 2026.
Incidents vs Mining Industry Avg (This Year)
No incidents recorded for Glencore in 2026.
Incident History - Norton Gold Fields Pty Ltd (X = Date, Y = Severity)
Norton Gold Fields Pty Ltd cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Glencore (X = Date, Y = Severity)
Glencore cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Norton Gold Fields Pty Ltd

Glencore
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.