Comparison Overview
S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest

S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest
8b avenue Jean Rondeaux , Rouen, 76000, FR
Last Update: 09/01/2026
S3EB, the commercial brand of the Smart Building Division of Bouygues Bâtiment Grand Ouest, based in Rouen (France), has been supporting its clients since 1985 with expertise covering all technical trades required for turnkey Smart Building projects. S3EB specializes in...

NCC
Herrjärva Torg 4, Stockholm, Solna, SE, 170 67
Last Update: 14/09/2026
NCC is one of the leading construction companies in the Nordics. Based on its expertise in managing complex construction processes, NCC contributes to a positive impact of construction for its customers and society. NCC is one of the largest players in the Nordic cons...
Compliance Ranges Comparison

S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest







NCC






Benchmark & Cyber Underwriting Signals
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest in 2026.
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for NCC in 2026.
Incident History - S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest (X = Date, Y = Severity)
S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NCC (X = Date, Y = Severity)
NCC cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

S3EB, the Smart Building Division of Bouygues Bâtiment Grand Ouest

NCC
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