Comparison Overview
Nippon Paint Indonesia
Nippon Paint Indonesia
Jln. Ancol Barat I/A5/C No.12, Jakarta Utara, 14430, ID
Last Update: 11/12/2025
With over 140 years of experience in the coatings industry and a presence in more than 30 countries, NIPPON PAINT is one of the leading coatings brand globally. Back in Indonesia, we are the number one coatings manufacturer in terms of production capacity as well as ann...
Ecolab
1 Ecolab Place, St. Paul, 55102, US
Last Update: 05/09/2026
A trusted partner for millions of customers, Ecolab (NYSE:ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on more than a century of innovation, E...
Compliance Ranges Comparison
Nippon Paint Indonesia
Ecolab
Benchmark & Cyber Underwriting Signals
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for Nippon Paint Indonesia in 2026.
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for Ecolab in 2026.
Incident History - Nippon Paint Indonesia (X = Date, Y = Severity)
Nippon Paint Indonesia cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ecolab (X = Date, Y = Severity)
Ecolab cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Nippon Paint Indonesia
Ecolab
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.