Comparison Overview
SkinCeuticals

SkinCeuticals
undefined, undefined, undefined, undefined, US
Last Update: 27/10/2025
Now part of the L'Oréal group brands portfolio, our mission at SkinCeuticals is to improve skin health. Dedicated to this purpose, we make one simple promise—to provide advanced skincare backed by science. Born from decades of skin cancer research that led to pivota...

Sandoz
Novartis Campus, Basel, Basel-Stadt, CH, 4056
Last Update: 13/09/2026
Sandoz is the global leader in generic and biosimilar medicines. Our Purpose is to pioneer access to medicines for patients globally. We are on a mission to drive innovation in the healthcare industry by freeing up resources sustainably and responsibly while continu...
Compliance Ranges Comparison

SkinCeuticals







Sandoz






Benchmark & Cyber Underwriting Signals
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for SkinCeuticals in 2026.
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for Sandoz in 2026.
Incident History - SkinCeuticals (X = Date, Y = Severity)
SkinCeuticals cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Sandoz (X = Date, Y = Severity)
Sandoz cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

SkinCeuticals

Sandoz
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.