Comparison Overview
Franklin Templeton Academy
Franklin Templeton Academy
N/A
Last Update: 31/03/2026
The Franklin Templeton Academy crafts industry-leading learning experiences for a broad audience of financial practitioners and investors. Our value- add programs range from practice management to investment concepts, all with a single focus: to support growth and educa...
Marsh McLennan
1166 Avenue of the Americas, New York, NY, US, 10036
Last Update: 11/09/2026
Marsh (NYSE: MRSH) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh Risk, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue over $24 billion and more than 90,000 ...
Compliance Ranges Comparison
Franklin Templeton Academy
Marsh McLennan
Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Franklin Templeton Academy in 2026.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Marsh McLennan in 2026.
Incident History - Franklin Templeton Academy (X = Date, Y = Severity)
Franklin Templeton Academy cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Marsh McLennan (X = Date, Y = Severity)
Marsh McLennan cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Franklin Templeton Academy
Marsh McLennan
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.