Comparison Overview
Marlabs
Marlabs
115 Broadway, 19th Floor, New York, New York, US, 10006
Last Update: 02/04/2026
Marlabs designs and develops digital solutions with data at the center. We leverage our deep data expertise and cutting-edge technology to empower businesses with actionable insights and achieve improved digital outcomes. Marlabs’ data-first approach intersects with c...
Canon EMEA
4 Roundwood Avenue, Stockley Park, Uxbridge, GB, UB11 1AF
Last Update: 05/09/2026
We are Canon Europe. We are the world's best imaging company. This page represents our offices in Europe, the Middle East and Africa. Founded in 1937, the desire to continuously innovate has kept Canon at the forefront of imaging excellence throughout its 85-year histo...
Compliance Ranges Comparison
Marlabs
Canon EMEA
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Marlabs in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Canon EMEA in 2026.
Incident History - Marlabs (X = Date, Y = Severity)
Marlabs cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Canon EMEA (X = Date, Y = Severity)
Canon EMEA cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Marlabs
Canon EMEA
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.