Comparison Overview
Marvell Technology
Marvell Technology
5488 Marvell Lane, Santa Clara, 95054, US
Last Update: 12/09/2026
We believe that infrastructure powers progress. That execution is as essential as innovation. That better collaboration builds better technology. At Marvell, We go all in with you. Focused and determined, we unite behind your goals as our own. We leverage our unrivaled...
Texas Instruments
12500 T I Blvd, Dallas, 75243, US
Last Update: 11/09/2026
We are a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, enterprise systems and communications equipment. At our core, we have a passion to create a ...
Compliance Ranges Comparison
Marvell Technology
Texas Instruments
Benchmark & Cyber Underwriting Signals
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for Marvell Technology in 2026.
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for Texas Instruments in 2026.
Incident History - Marvell Technology (X = Date, Y = Severity)
Marvell Technology cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Texas Instruments (X = Date, Y = Severity)
Texas Instruments cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Marvell Technology
Texas Instruments
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.