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CVE-2026-102995

7.5 · HIGH

pypdf is a free and open-source pure-python PDF library.

Published Sep 30, 2026py-pdfCWE-400EPSS 0.34%

Overview

CVE-2026-102995 is a high-severity vulnerability affecting py-pdf pypdf. It was published on September 30, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

pypdf is a free and open-source pure-python PDF library. Prior to 6.18.1, a crafted PDF can place unusually large source-code or destination-string tokens in a font /ToUnicode mapping, causing pypdf/_cmap.py parse_bfchar to decode and retain oversized values during operations such as text extraction and consume excessive memory. This is a second follow-up to earlier /ToUnicode resource-consumption fixes and is limited to the remaining token-length path. This issue is fixed in version 6.18.1.

Remediation

Check the references section for vendor advisories and patches from py-pdf. Update pypdf to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected products

VendorProductVersionsStatus
py-pdfpypdf>= 0, < 6.18.1Affected

Frequently asked questions

What is CVE-2026-102995?

CVE-2026-102995 is a high-severity vulnerability affecting py-pdf pypdf. It was published on September 30, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2026-102995?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-102995?

Check the references section for vendor advisories and patches from py-pdf. Update pypdf to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-102995?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-102995 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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