Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. pypdf
  4. ›
  5. CVE-2026-102993

CVE-2026-102993: pypdf: Possible large memory usage when retrieving Roman page labels

October 1, 2026

An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires accessing the page labels of a document with large Roman numerals.

References

  • github.com/advisories/GHSA-qv6h-rv94-w285
  • github.com/py-pdf/pypdf/commit/89db7c4fe9315ecc964bfdf05a4e8c4b94175163
  • github.com/py-pdf/pypdf/pull/4047
  • github.com/py-pdf/pypdf/releases/tag/6.17.0
  • github.com/py-pdf/pypdf/security/advisories/GHSA-qv6h-rv94-w285
  • nvd.nist.gov/vuln/detail/CVE-2026-102993

Code Behaviors & Features

Detect and mitigate CVE-2026-102993 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions before 6.17.0

Fixed versions

  • 6.17.0

Solution

Upgrade to version 6.17.0 or above.

Impact 7.5 HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-400: Uncontrolled Resource Consumption
  • CWE-770: Allocation of Resources Without Limits or Throttling

Source file

pypi/pypdf/CVE-2026-102993.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Mon, 12 Oct 2026 00:22:08 +0000.