Comparison Overview
Infineon Technologies
Infineon Technologies
Am Campeon 1-12, Neubiberg, München, 85579, DE
Last Update: 13/09/2026
Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable gam...
TSMC
8, Li-Hsin Rd. 6, Hsinchu Science Park, Hsinchu, 300, TW
Last Update: 11/09/2026
Established in 1987, TSMC is the world's first dedicated semiconductor foundry. As the founder and a leader of the Dedicated IC Foundry segment, TSMC has built its reputation by offering advanced and "More-than-Moore" wafer production processes and unparalleled manufac...
Compliance Ranges Comparison
Infineon Technologies
TSMC
Benchmark & Cyber Underwriting Signals
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for Infineon Technologies in 2026.
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for TSMC in 2026.
Incident History - Infineon Technologies (X = Date, Y = Severity)
Infineon Technologies cyber incidents detection timeline including parent company and subsidiaries.
Incident History - TSMC (X = Date, Y = Severity)
TSMC cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Infineon Technologies
TSMC
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.