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CVE-2026-119208— pypdf: Possible long runtimes/large memory usage for encrypted PDF files

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 6.21.3 版本之前，当应用程序访问一个经过精心构造的加密 PDF 文件（其页面树声明了伪造的 /Count 值）的页面数量时，pypdf 可能会消耗过多的时间和内存。即使解密成功，页面数量检索功能仍会信任未经验证的声明计数，而不是遍历页面树，从而使得攻击者控制的值能够引发过度的计算和内存消耗。该问题已在 6.21.3 版本中修复。

CVSS 7.1 · High
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I. Basic Information for CVE-2026-119208

Vulnerability Information
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Vulnerability Title
pypdf: Possible long runtimes/large memory usage for encrypted PDF files
Source: CVE Program / CVE List V5
Vulnerability Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive time and memory when an application accesses the page count of a crafted encrypted PDF whose page tree declares a forged /Count value. Even after successful decryption, page-count retrieval trusts the unvalidated declared count instead of walking the page tree, allowing the attacker-controlled value to drive excessive work and memory use. This issue is fixed in version 6.21.3.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/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 < 6.21.3 -

II. Public POCs for CVE-2026-119208

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III. Intelligence Information for CVE-2026-119208

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Patches & Fixes for CVE-2026-119208 (2)

Vendor Advisories for CVE-2026-119208 (1)

Vendor Pages for CVE-2026-119208 (1)

Same Patch Batch · py-pdf · 2026-10-29 · 7 CVEs total

CVE-2026-119206 7.1 HIGH pypdf: Possible long runtimes when retrieving page labels
CVE-2026-119203 7.1 HIGH pypdf: Possible infinite loop when hitting EOF in standard xref table during trailer searc
CVE-2026-119204 7.1 HIGH pypdf: Possible large memory usage when parsing page tree
CVE-2026-119207 7.1 HIGH pypdf: Possible large memory usage for exceptions in strict mode
CVE-2026-119205 7.1 HIGH pypdf: Possible infinite loop when cloning dictionaries
CVE-2026-119209 7.1 HIGH pypdf: Possible large memory usage when parsing cross-reference streams

IV. Related Vulnerabilities

Same product: pypdf
Same vendor: py-pdf
Same weakness: CWE-400