Comparison Overview
Broadridge Customer Communications
Broadridge Customer Communications
5 Dakota Dr, Lake Success, 11042, US
Last Update: 14/03/2026
Broadridge’s customer communication solutions transform how brands communicate with customers. By delivering data-driven content to the channels customers prefer, this drives better results. Discover developing communications trends, new technology and solutions to help...
Appen
12131 113th Ave NE, Kirkland, 98034, US
Last Update: 11/09/2026
Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize ...
Compliance Ranges Comparison
Broadridge Customer Communications
Appen
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Broadridge Customer Communications in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Appen in 2026.
Incident History - Broadridge Customer Communications (X = Date, Y = Severity)
Broadridge Customer Communications cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Appen (X = Date, Y = Severity)
Appen cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Broadridge Customer Communications
Appen
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.