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Critical HPE Vulnerabilities Allow Remote Attackers to Achieve Complete System Compromise

HPE patched critical EdgeConnect SD-WAN flaws, including CVSS 9.8 unauthenticated API bypass and gateway RCE, enabling full system compromise.

HPE Security Bulletin HPESBNW05135 covers critical flaws in EdgeConnect SD-WAN Orchestrator and Gateways: CVE-2026-76669 and CVE-2026-76670 (CVSS 9.9 authorization bypass/privilege escalation), CVE-2026-76672 (CVSS 9.9, leaks third-party API tokens and credentials), CVE-2026-76673 (CVSS 9.8, unauthenticated Orchestrator API authentication bypass granting administrative privileges), and CVE-2026-76674 (CVSS 9.8, unauthenticated buffer overflow enabling arbitrary code execution on gateways). Fixes are available in ECOS 9.7.1.0/9.6.4.0/9.5.9.0/9.4.9.0 and Orchestrator 9.7.1/9.6.4/9.5.9/9.4.11 or later. HPE reported no public exploit code or active exploitation at publication and recommends isolating management interfaces on a dedicated VLAN.

Cyber Security News · 16h agoVulnerabilityCVE-2026-76669CVE-2026-76670CVE-2026-76672+2 CVEs

HPE security advisory (AV26-928)

Canada's Cyber Centre relayed an HPE advisory covering multiple vulnerabilities in EdgeConnect SD-WAN Gateways and Orchestrator, urging prompt updates.

On September 16, 2026, the Canadian Centre for Cyber Security published advisory AV26-928 noting that as of September 15, 2026, HPE is affected by multiple vulnerabilities in HPE Networking EdgeConnect SD-WAN Gateways and Orchestrator across multiple versions, per HPE bulletin HPESBNW05135 rev.1. The Cyber Centre encourages users and administrators to review the linked HPE security bulletins and apply available updates. No exploitation details or CVE identifiers are provided in the advisory text.

Canadian Centre for Cyber Security · 11h agoAdvisory 2 sources

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

NVIDIA's Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x higher throughput than GB300 NVL72 and 99% scaling efficiency at 288 GPUs.

In its first MLPerf Inference preview submission, NVIDIA's Vera Rubin NVL72 achieved up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and 2.5x on DeepSeek-R1. A 288-GPU GB300 NVL72 submission across four racks reached 99% scaling efficiency on the DeepSeek-R1 offline benchmark. Software optimizations delivered up to 1.6x gains over v6.0, leveraging TensorRT-LLM, vLLM, Dynamo, disaggregated serving, and NVFP4 precision.

NVIDIA Blog · 14h agoAI industry 2 sources