Comparison Overview
Sandvik - Digital Manufacturing
Sandvik - Digital Manufacturing
Storviltsgatan 10, Stockholm, Stockholm County, SE, 11542
Last Update: 05/04/2026
Welcome to Sandvik, your partner for digital manufacturing solutions. With our global reach and customer-centric approach, you can leverage our expertise and connect physical manufacturing processes with intelligent software solutions. Let's work together to make the sh...
Alfa Laval
Rudeboksvagen 1, Lund, Skane County, SE, 226 55
Last Update: 01/04/2026
Pioneering positive impact! Our pioneering 140-year-old start-up culture is built on the idea that partnership is the key to solving complex problems and unlocking the full potential of resources. So we collaborate closely with our partners, customers, and thought lead...
Compliance Ranges Comparison
Sandvik - Digital Manufacturing
Alfa Laval
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Sandvik - Digital Manufacturing in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Alfa Laval in 2026.
Incident History - Sandvik - Digital Manufacturing (X = Date, Y = Severity)
Sandvik - Digital Manufacturing cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Alfa Laval (X = Date, Y = Severity)
Alfa Laval cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Sandvik - Digital Manufacturing
Alfa Laval
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.