Comparison Overview
Sartorius Stedim Biotech

Sartorius Stedim Biotech
Avenue de Jouques, AUBAGNE Cedex, undefined, 13781, FR
Last Update: 19/02/2026
A profile of Sartorius Stedim Biotech Leading Partner Sartorius Stedim Biotech is a leading partner of the biopharma industry. Our solutions are supporting our customers to produce drugs safely, timely and economically. The key product categories of our company are cel...

Agilent Technologies
5301 Stevens Creek Boulevard, Santa Clara, 95051, US
Last Update: 11/09/2026
Agilent customers are finding new ways to treat cancer, ensure food, water, air, and medicine quality and safety, discover new drug treatments, research infectious diseases, and create alternative energy solutions for a greener planet. From start to finish, we have them...
Compliance Ranges Comparison

Sartorius Stedim Biotech







Agilent Technologies






Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Sartorius Stedim Biotech in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Agilent Technologies in 2026.
Incident History - Sartorius Stedim Biotech (X = Date, Y = Severity)
Sartorius Stedim Biotech cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Agilent Technologies (X = Date, Y = Severity)
Agilent Technologies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Sartorius Stedim Biotech

Agilent Technologies
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.