Comparison Overview
Markem-Imaje
Markem-Imaje
Chemin de Blandonnet 10, Vernier, Geneva, 1214, CH
Last Update: 20/03/2026
Markem-Imaje, a wholly owned subsidiary of Dover Corporation, connects products and protects brands through intelligent identification, traceability and consumer engagement solutions. We offer the industry’s most comprehensive range of marking and coding systems seamles...
Bosch Rexroth
Maria-Theresien-Straße 23, Lohr am Main, 97816, DE
Last Update: 09/09/2026
Bosch Rexroth is a leading provider of automation solutions for industrial and mobile applications. Our innovative products and services enable our customers to move everything that needs to be moved with ease and efficiency, helping them to win in their respective indu...
Compliance Ranges Comparison
Markem-Imaje
Bosch Rexroth
Benchmark & Cyber Underwriting Signals
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Markem-Imaje in 2026.
Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Bosch Rexroth in 2026.
Incident History - Markem-Imaje (X = Date, Y = Severity)
Markem-Imaje cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Bosch Rexroth (X = Date, Y = Severity)
Bosch Rexroth cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Markem-Imaje
Bosch Rexroth
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.