Comparison Overview
AngelStar
AngelStar
Via San Sabino, 21, Mola di Bari, 70042, IT
Last Update: 01/12/2025
AngelStar is an international engineering company specialized in the design, development and supply of ERTMS onboard signaling and control solutions for the world’s railways. AngelStar is a joint venture between the two leading railway companies, MERMEC (www.mermecgrou...
Panasonic
Ooaza Kadoma, 1006, Kadoma-shi, 571-8501, JP
Last Update: 12/09/2026
Founded in 1918, and today a global leader in developing innovative technologies and solutions for wide-ranging applications in the consumer electronics, housing, devices, B2B solutions and energy sectors worldwide, the Panasonic Group switched to an operating company s...
Compliance Ranges Comparison
AngelStar
Panasonic
Benchmark & Cyber Underwriting Signals
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for AngelStar in 2026.
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Panasonic in 2026.
Incident History - AngelStar (X = Date, Y = Severity)
AngelStar cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Panasonic (X = Date, Y = Severity)
Panasonic cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
AngelStar
Panasonic
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.