Most recent entries from all https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Wed, 07 Oct 2026 21:21:43 +0000 bdu:2025-13136 https://cve.radiocsirt.org/vuln/bdu:2025-13136 bdu:2025-13136 https://cve.radiocsirt.org/vuln/bdu:2025-13136 BIT-pytorch-2025-46150 https://cve.radiocsirt.org/vuln/bit-pytorch-2025-46150 <p><strong>Affected:</strong> Bitnami: pytorch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> <p><strong>Affected:</strong> Bitnami: pytorch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> https://cve.radiocsirt.org/vuln/bit-pytorch-2025-46150 certfr-2025-avi-0969 — De multiples vulnérabilités ont été découvertes dans les produits VMware. Elles permettent à un attaquant de provoquer… https://cve.radiocsirt.org/vuln/certfr-2025-avi-0969 certfr-2025-avi-0969 https://cve.radiocsirt.org/vuln/certfr-2025-avi-0969 cnvd-2025-23282 https://cve.radiocsirt.org/vuln/cnvd-2025-23282 cnvd-2025-23282 https://cve.radiocsirt.org/vuln/cnvd-2025-23282 EUVD-2026-253493 https://cve.radiocsirt.org/vuln/euvd-2026-253493 EUVD-2026-253493 https://cve.radiocsirt.org/vuln/euvd-2026-253493 fkie_cve-2025-46150 https://cve.radiocsirt.org/vuln/fkie_cve-2025-46150 <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> https://cve.radiocsirt.org/vuln/fkie_cve-2025-46150 GHSA-v5f2-jg66-6h4h https://cve.radiocsirt.org/vuln/ghsa-v5f2-jg66-6h4h <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> https://cve.radiocsirt.org/vuln/ghsa-v5f2-jg66-6h4h msrc_CVE-2025-46150 — In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. https://cve.radiocsirt.org/vuln/msrc_cve-2025-46150 msrc_CVE-2025-46150 https://cve.radiocsirt.org/vuln/msrc_cve-2025-46150 PYSEC-2025-200 https://cve.radiocsirt.org/vuln/pysec-2025-200 <p><strong>Affected:</strong> PyPI: torch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> <p><strong>Affected:</strong> PyPI: torch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> https://cve.radiocsirt.org/vuln/pysec-2025-200 UBUNTU-CVE-2025-46150 https://cve.radiocsirt.org/vuln/ubuntu-cve-2025-46150 <p><strong>Affected:</strong> Ubuntu:22.04:LTS: pytorch, Ubuntu:25.10: pytorch, Ubuntu:26.04:LTS: pytorch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> <p><strong>Affected:</strong> Ubuntu:22.04:LTS: pytorch, Ubuntu:25.10: pytorch, Ubuntu:26.04:LTS: pytorch</p> <p>In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.</p> https://cve.radiocsirt.org/vuln/ubuntu-cve-2025-46150 WID-SEC-W-2025-2139 — PyTorch: Mehrere Schwachstellen https://cve.radiocsirt.org/vuln/wid-sec-w-2025-2139 <p>Ein Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Informationen offenzulegen, einen Denial-of-Service-Zustand zu erzeugen oder andere nicht näher spezifizierte Angriffe durchzuführen.</p> <p>Ein Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Informationen offenzulegen, einen Denial-of-Service-Zustand zu erzeugen oder andere nicht näher spezifizierte Angriffe durchzuführen.</p> https://cve.radiocsirt.org/vuln/wid-sec-w-2025-2139