Comparison Overview
Gnosis by Lesaffre
Gnosis by Lesaffre
137, Rue Gabriel Péri, Marcq-en-Barœul, 59700, FR
Last Update: 27/03/2026
Gnosis by Lesaffre have a goal: to raise the standard of human health and build a healthier world where proactive health solutions help people live stronger, longer, happier lives. By diving deep into the world of microorganisms we harness the power of nature’s biolo...
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
Gnosis by Lesaffre
Agilent Technologies
Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Gnosis by Lesaffre in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Agilent Technologies in 2026.
Incident History - Gnosis by Lesaffre (X = Date, Y = Severity)
Gnosis by Lesaffre 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
Gnosis by Lesaffre
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.