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CVE-2026-103000— pypdf: Possible large memory usage when retrieving alphabetical page labels

Quick assessment

Affected
py-pdf pypdf
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

pypdf 是一个免费且开源的纯 Python PDF 库。在 6.19.0 版本之前,一个经过恶意构造的 PDF 文件可以提供异常大的字母数字页标签值,导致 pypdf/_page_labels.py 在应用程序获取文档页标签时生成超出合理长度的字符串,从而消耗大量内存并可能导致应用程序不可用。该问题已在 6.19.0 版本中修复。

CVSS 8.7 · High

Possible ATT&CK Techniques 1 AI

T1499 · Endpoint Denial of Service
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I. Basic Information for CVE-2026-103000

Vulnerability Information

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Vulnerability Title
pypdf: Possible large memory usage when retrieving alphabetical page labels
Source: CVE Program / CVE List V5
Vulnerability Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.19.0, a crafted PDF can provide unusually large alphabetical page-label values that cause pypdf/_page_labels.py to generate strings beyond a reasonable page-label length when an application retrieves document page labels, consuming excessive memory and potentially making the application unavailable. This issue is fixed in version 6.19.0.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Source: CVE Program / CVE List V5
Vulnerability Type
未加控制的资源消耗(资源穷尽)
Source: CVE Program / CVE List V5

Affected Products

Vendor Product Affected Versions CPE Subscribe
py-pdf pypdf < 6.19.0 -

II. Public POCs for CVE-2026-103000

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III. Intelligence Information for CVE-2026-103000

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Patches & Fixes for CVE-2026-103000 (2)

Vendor Advisories for CVE-2026-103000 (1)

Vendor Pages for CVE-2026-103000 (1)

Same Patch Batch · py-pdf · 2026-09-30 · 8 CVEs total

CVE-2026-102998 8.7 HIGH pypdf: Possible long runtimes when generating appearance streams
CVE-2026-102995 8.7 HIGH pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2)
CVE-2026-102997 8.7 HIGH pypdf: Possible long runtimes for partially malformed FlateDecode streams (Follow-up)
CVE-2026-102993 8.7 HIGH pypdf: Possible large memory usage when retrieving Roman page labels
CVE-2026-102994 8.7 HIGH pypdf: Possible long runtimes/large memory usage when parsing indirect objects
CVE-2026-102996 8.7 HIGH pypdf: Possible large memory usage when parsing font data
CVE-2026-102999 8.7 HIGH pypdf: Possible long runtimes with large amount of embedded files

IV. Related Vulnerabilities

V. Comments for CVE-2026-103000

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