Comparison Overview
Prudential plc

Prudential plc
13/F, One International Finance Centre, 1 Habour View Street, Central, HK
Last Update: 07/09/2026
We are Prudential. For Every Life, For Every Future. Prudential provides life and health insurance and asset management in Greater China, ASEAN, India and Africa. Prudential’s mission is to be the most trusted partner and protector for this generation and generations ...

M&T Bank
345 Main St., Buffalo, 14203, US
Last Update: 13/09/2026
Great companies have an enduring sense of purpose. At M&T, our purpose is a simple one: make a difference in people’s lives and uplift the communities we serve. Founded in 1856 in Buffalo, NY we are now a top 11 full-service US-based commercial bank with a retail footpr...
Compliance Ranges Comparison

Prudential plc







M&T Bank






Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Prudential plc in 2026.
Incidents vs Financial Services Industry Avg (This Year)
M&T Bank has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Prudential plc (X = Date, Y = Severity)
Prudential plc cyber incidents detection timeline including parent company and subsidiaries.
Incident History - M&T Bank (X = Date, Y = Severity)
M&T Bank cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Prudential plc

M&T Bank
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.