Comparison Overview
Analog Devices
Analog Devices
One Analog Way, Wilmington, 01887, US
Last Update: 11/09/2026
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that help drive advancements in a...
GlobalFoundries
400 Stone Break Road Extension, Malta, 12020, US
Last Update: 13/09/2026
GlobalFoundries (GF) is one of the world’s leading semiconductor manufacturers. GF is redefining innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions that provide leadership performance in pervasive high growt...
Compliance Ranges Comparison
Analog Devices
GlobalFoundries
Benchmark & Cyber Underwriting Signals
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
Analog Devices has 58.33% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for GlobalFoundries in 2026.
Incident History - Analog Devices (X = Date, Y = Severity)
Analog Devices cyber incidents detection timeline including parent company and subsidiaries.
Incident History - GlobalFoundries (X = Date, Y = Severity)
GlobalFoundries cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Analog Devices
GlobalFoundries
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.