Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

pypdf_project

About This Vendor

pypdf_project is a technology vendor producing software and infrastructure products. As a software provider, pypdf_project's broad product portfolio across multiple domains—including operating systems, cloud infrastructure, enterprise applications, databases, networking, and security tools—creates a large attack surface. Additionally, long support cycles, widespread deployment, and continuous feature development contribute to the accumulation of discovered vulnerabilities over time. Major vendors typically report higher CVE counts not necessarily due to inferior security, but because of greater exposure to security research, responsible disclosure practices, and the sheer complexity of maintaining multiple product lines and legacy systems. Regular security assessments and patching of pypdf_project's products are critical for organizations running their software in production environments.

Vulnerability Trends for This Vendor

SecUtils has indexed 20 known vulnerabilities from pypdf_project. This includes 6 high-severity issues requiring prompt remediation. These vulnerabilities affect 2 distinct products across pypdf_project's portfolio, demonstrating the breadth of the vendor's product ecosystem and the importance of comprehensive patch management strategies. Disclosure dates span from 2023 through 2026, with recent active disclosure activity. Organizations deploying pypdf_project products should maintain active vulnerability monitoring, prioritize critical patches, and implement compensating controls where patches cannot be applied immediately.

ID Date Published Last Modified Severity (CVSSv3) Severity (CVSSv2) Exploit Available
CVE-2023-36464 2023-06-27 2024-11-21 6.2 - -
CVE-2023-36807 2023-06-30 2024-11-21 6.2 - -
CVE-2023-36810 2023-06-30 2024-11-21 6.2 - -
CVE-2023-46250 2023-10-31 2024-11-21 5.1 - -
CVE-2025-55197 2025-08-13 2025-08-15 7.5 - -
CVE-2025-62707 2025-10-22 2025-10-27 7.5 - -
CVE-2025-62708 2025-10-22 2025-10-27 7.5 - -
CVE-2026-22690 2026-01-10 2026-01-22 5.3 - -
CVE-2026-22691 2026-01-10 2026-01-22 5.3 - -
CVE-2026-24688 2026-01-27 2026-02-25 4.3 - -
CVE-2026-27024 2026-02-20 2026-02-24 5.5 - -
CVE-2026-27025 2026-02-20 2026-02-24 5.5 - -
CVE-2026-27026 2026-02-20 2026-02-24 5.5 - -
CVE-2026-27628 2026-02-25 2026-02-27 7.5 - -
CVE-2026-27888 2026-02-26 2026-02-27 7.5 - -
CVE-2026-28351 2026-02-27 2026-03-03 5.3 - -
CVE-2026-28804 2026-03-06 2026-03-10 5.3 - -
CVE-2026-31826 2026-03-10 2026-03-17 5.5 - -
CVE-2026-33123 2026-03-20 2026-03-23 6.5 - -
CVE-2026-33699 2026-03-27 2026-04-01 7.5 - -

How SecUtils Normalizes Vendor Data

SecUtils aggregates National Vulnerability Database (NVD) and MITRE records for pypdf_project by normalizing vendor identifiers across diverse data sources, mapping vendor names to their associated product lines, and collecting all known vulnerabilities under a unified vendor context. For every CVE associated with pypdf_project's products, we extract and structure Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) categories, CVSS severity metrics, and reference links to enable rapid vulnerability identification and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and vendor vulnerability tracking.