Comparison Overview
Hamilton Robotics EMEA
Hamilton Robotics EMEA
Via Crusch 8, Bonaduz, Graubünden, CH, 7402
Last Update: 14/05/2026
Hamilton Robotics EMEA delivers precision automated liquid handling systems that accelerate scientific discovery and improve laboratory workflows worldwide. We design, manufacture, and support a comprehensive portfolio of automated liquid handling solutions, from compa...
Fortrea
Research Triangle Park, NC, US
Last Update: 12/09/2026
Fortrea (Nasdaq: FTRE) is a leading global clinical research organization (CRO) dedicated to providing innovative clinical development solutions to the life sciences industry. With over 30 years of clinical research experience, Fortrea has evolved from Covance and Labco...
Compliance Ranges Comparison
Hamilton Robotics EMEA
Fortrea
Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Hamilton Robotics EMEA in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Fortrea in 2026.
Incident History - Hamilton Robotics EMEA (X = Date, Y = Severity)
Hamilton Robotics EMEA cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Fortrea (X = Date, Y = Severity)
Fortrea cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Hamilton Robotics EMEA
Fortrea
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.