Comparison Overview
NIPSEA Group I Nippon Paint

NIPSEA Group I Nippon Paint
1 Kim Seng Promenade, Singapore, Singapore, 237994, SG
Last Update: 01/04/2026
NIPSEA Group is a global leader, providing innovative solutions in the paint and coatings industry. Headquartered in Singapore, with 136 NIPSEA companies spread throughout 27 geographical locations, the group is Asia Pacific’s No. 1 paint and coatings manufacturer in bo...

BASF
Carl-Bosch-Str. 38, Ludwigshafen, DE, 67056
Last Update: 13/09/2026
At BASF, we create chemistry for a sustainable future. Our ambition: We want to be the preferred chemical company to enable our customers’ green transformation. We combine economic success with environmental protection and social responsibility. Around 112,000 employees...
Compliance Ranges Comparison

NIPSEA Group I Nippon Paint







BASF






Benchmark & Cyber Underwriting Signals
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for NIPSEA Group I Nippon Paint in 2026.
Incidents vs Chemical Manufacturing Industry Avg (This Year)
BASF has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - NIPSEA Group I Nippon Paint (X = Date, Y = Severity)
NIPSEA Group I Nippon Paint cyber incidents detection timeline including parent company and subsidiaries.
Incident History - BASF (X = Date, Y = Severity)
BASF cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

NIPSEA Group I Nippon Paint

BASF
FAQ
Latest Global CVEs
A vulnerability was determined in xuxueli xxl-job up to 3.5.0. The impacted element is an unknown function of the file /jobgroup/insert. This manipulation of the argument Name causes cross site scripting. The attack can be initiated remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
A vulnerability was found in Moore Threads MTT S80 Driver Package 340.150. The affected element is the function sub_140006F0C in the library mtdispkm64.sys of the component IOCTL Handler. The manipulation results in improper privilege management. Attacking locally is a requirement. The vendor was contacted early about this disclosure but did not respond in any way.
vLLM Mooncake connector through 0.29.0 fails to properly manage GPU KV cache block ownership when concurrent child requests share a single transfer ID in prefill/decode disaggregated deployments. Attackers can trigger GPU memory exhaustion by submitting completion requests with multiple prompts, causing orphaned KV cache blocks to accumulate until process restart and eventually preventing legitimate requests from executing.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1978-L1989
- https://github.com/vllm-project/vllm/pull/49796
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-gpu-kv-cache-leak-via-mooncake-transfer-id-collision
vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/utils.py#L569-L573
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/metadata.py#L277
- https://github.com/vllm-project/vllm/pull/51137
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-unvalidated-nixl-tp-size
vLLM through 0.29.0 contains a resource exhaustion vulnerability in MooncakeConnector where rejected prefill requests create ownerless transfer placeholders that are never reclaimed. Attackers can send rejected requests to exhaust sender task pools, causing valid requests to be delayed by up to 480 seconds while health checks continue returning success.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1234-L1242
- https://github.com/vllm-project/vllm/pull/51236
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-resource-exhaustion-via-ownerless-mooncake-transfer-placeholders