Vulnerability Monitor

The vendors, products, and vulnerabilities you care about
pytorch Vendor: linuxfoundation

About This Product

pytorch is a software product offered by linuxfoundation. This product is widely deployed in production environments, making vulnerability monitoring essential for organizations relying on it. Security vulnerabilities in products of this category can affect system availability, data confidentiality, and integrity across entire networks. The moderate vulnerability count reflects ongoing security research and responsible disclosure practices. Regular assessment of known vulnerabilities and timely patching are fundamental components of responsible system administration for any deployment of this software.

Vulnerability Landscape Summary

SecUtils has identified 30 known vulnerabilities affecting linuxfoundation pytorch. This includes 3 critical-severity issues and 8 high-severity issues that warrant immediate attention. Vulnerabilities in this product have been disclosed spanning from 2022 to 2026, indicating a recent active security attention. 13 medium-severity issues and 6 low-severity issues complete the vulnerability landscape. Organizations should prioritize patching based on deployment context, asset criticality, and exploitation likelihood rather than severity alone.

Known Vulnerabilities
ID Date Published Last Modified Severity (CVSSv3) Severity (CVSSv2) Exploit Available
CVE-2022-45907 2022-11-26 2025-04-25 9.8 - -
CVE-2024-31580 2024-04-17 2025-06-10 4.0 - -
CVE-2024-31583 2024-04-17 2025-06-10 7.8 - -
CVE-2024-31584 2024-04-19 2025-06-03 5.5 - -
CVE-2024-48063 2024-10-29 2025-07-16 9.8 - -
CVE-2025-2148 2025-03-10 2026-02-24 5.0 5.1 Unknown
CVE-2025-2149 2025-03-10 2026-02-24 2.5 1.0 Unknown
CVE-2025-2953 2025-03-30 2025-04-22 3.3 1.7 Unknown
CVE-2025-2998 2025-03-31 2025-05-29 5.3 4.3 Unknown
CVE-2025-2999 2025-03-31 2025-05-29 5.3 4.3 Unknown
CVE-2025-3000 2025-03-31 2025-05-29 5.3 4.3 Unknown
CVE-2025-3001 2025-03-31 2025-05-29 5.3 4.3 Unknown
CVE-2025-3121 2025-04-02 2025-05-27 3.3 1.7 Unknown
CVE-2025-3136 2025-04-03 2025-05-28 3.3 1.7 Unknown
CVE-2025-3730 2025-04-16 2025-05-28 3.3 1.7 Unknown
CVE-2025-32434 2025-04-18 2025-12-01 9.8 - -
CVE-2025-46148 2025-09-25 2025-10-03 5.3 - -
CVE-2025-46149 2025-09-25 2025-10-03 5.3 - -
CVE-2025-46150 2025-09-25 2025-10-03 5.3 - -
CVE-2025-46152 2025-09-25 2025-10-03 5.3 - -
CVE-2025-46153 2025-09-25 2025-10-03 5.3 - -
CVE-2025-55551 2025-09-25 2025-10-03 7.5 - -
CVE-2025-55552 2025-09-25 2025-10-03 7.5 - -
CVE-2025-55553 2025-09-25 2025-10-03 7.5 - -
CVE-2025-55554 2025-09-25 2025-10-03 5.3 - -
CVE-2025-55557 2025-09-25 2025-10-03 7.5 - -
CVE-2025-55558 2025-09-25 2025-10-03 7.5 - -
CVE-2025-55560 2025-09-25 2025-10-14 7.5 - -
CVE-2025-63396 2025-11-12 2026-01-02 3.3 - -
CVE-2026-24747 2026-01-27 2026-01-30 8.8 - -

How SecUtils Interprets Product Data

SecUtils normalizes and enriches National Vulnerability Database (NVD) records for linuxfoundation pytorch by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and structuring the data for rapid analysis and asset correlation. For every vulnerability listed, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference information to enable organizations to prioritize patching and risk assessment efficiently. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for vulnerability management and security operations.