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      <title>bdu:2025-09646</title>
      <link>https://cve.radiocsirt.org/vuln/bdu:2025-09646</link>
      <description>bdu:2025-09646</description>
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      <title>cnvd-2025-20006</title>
      <link>https://cve.radiocsirt.org/vuln/cnvd-2025-20006</link>
      <description>cnvd-2025-20006</description>
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      <title>EUVD-2026-249082</title>
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      <description>EUVD-2026-249082</description>
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      <title>fkie_cve-2025-23335</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2025-23335</link>
      <description>&lt;p&gt;NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service.&lt;/p&gt;</content:encoded>
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      <title>GHSA-r7f8-w95q-c4g4</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-r7f8-w95q-c4g4</link>
      <description>&lt;p&gt;NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service.&lt;/p&gt;</content:encoded>
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