Comparison Overview
Advancing Materials
Advancing Materials
168 3rd Ave, Waltham, 02451, US
Last Update: 20/03/2026
From near infrared (NIR) spectroscopy, Fourier transform infrared (FTIR) spectroscopy and nuclear magnetic resonance (NMR) spectroscopy, to Raman, UV-Vis, OES, XRF, and XRD, our molecular spectroscopy and spectrometry solutions help scientists answer questions that enab...
PPD
168 3rd Ave, Waltham, 02451, US
Last Update: 01/04/2026
The PPD™ clinical research business of Thermo Fisher Scientific, the world leader in serving science, enables customers to accelerate innovation and drug development through patient-centered strategies and data analytics. Our services, which span multiple therapeutic ar...
Compliance Ranges Comparison
Advancing Materials
PPD
Benchmark & Cyber Underwriting Signals
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Advancing Materials in 2026.
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for PPD in 2026.
Incident History - Advancing Materials (X = Date, Y = Severity)
Advancing Materials cyber incidents detection timeline including parent company and subsidiaries.
Incident History - PPD (X = Date, Y = Severity)
PPD cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Advancing Materials
PPD
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.