https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Sun, 04 Oct 2026 15:39:22 +0000 https://cve.radiocsirt.org/vuln/euvd-2026-223977 EUVD-2026-223977 https://cve.radiocsirt.org/vuln/euvd-2026-223977 https://cve.radiocsirt.org/vuln/fkie_cve-2024-6577 <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> https://cve.radiocsirt.org/vuln/fkie_cve-2024-6577 https://cve.radiocsirt.org/vuln/ghsa-xx7c-j7h3-vjcq <p><strong>Affected:</strong> PyPI: torchserve</p> <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> <p><strong>Affected:</strong> PyPI: torchserve</p> <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> https://cve.radiocsirt.org/vuln/ghsa-xx7c-j7h3-vjcq https://cve.radiocsirt.org/vuln/pysec-2026-1973 <p><strong>Affected:</strong> PyPI: torchserve</p> <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> <p><strong>Affected:</strong> PyPI: torchserve</p> <p>In the latest version of pytorch/serve, the script &#39;upload_results_to_s3.sh&#39; references the S3 bucket &#39;benchmarkai-metrics-prod&#39; without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.</p> https://cve.radiocsirt.org/vuln/pysec-2026-1973 https://cve.radiocsirt.org/vuln/wid-sec-w-2025-0623 <p>Ein entfernter, anonymer Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Dateien zu manipulieren, vertrauliche Informationen preiszugeben, beliebigen Code auszuführen und einen Denial-of-Service-Zustand zu verursachen.</p> <p>Ein entfernter, anonymer Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Dateien zu manipulieren, vertrauliche Informationen preiszugeben, beliebigen Code auszuführen und einen Denial-of-Service-Zustand zu verursachen.</p> https://cve.radiocsirt.org/vuln/wid-sec-w-2025-0623