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  4. CVE 2026 119208 pypdf possible long runtimeslarge memory usage
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Back to active CVEs
High · CVSS 7.1CVE-2026-119208

pypdf: Possible long runtimes/large memory usage for encrypted PDF filesCVE-2026-119208

Answer in brief

CVE-2026-119208 records a High severity (CVSS 7.1) vulnerability in pypdf: Possible long runtimes/large memory usage for encrypted PDF files. The current sources do not mark it as known exploited. The current feed maps py-pdf/pypdf (generic). Check affected ranges and fixed versions before updating.

Analysis pending evidence review

HOL Guard separates source facts from reviewed analysis. See the methodology.

Published Oct 29, 2026Updated Oct 29, 2026Source checked Oct 29, 2026First seen by HOL Oct 29, 2026Material review Oct 29, 2026
Upstream Advisory

Key facts

Risk
High · CVSS 7.1
Exploitation
Not marked as known exploited
Affected software
1 mapped package or product
Fix availability
Available

Why this deserves its current priority

CVSS is 7.1. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.

Analysis status

Analysis pending evidence review

Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.

Affected scope and exposure questions

The current feed maps py-pdf/pypdf (generic). Check affected ranges and fixed versions before updating.

Mapped affected packages and fixed versions
PackageAffected rangeFixed version
py-pdf/pypdfgeneric<6.21.36.21.3

Recommended response

  1. 1Check inventory. Check lockfiles and deployed manifests for py-pdf/pypdf.
  2. 2Review the reported fix. Update py-pdf/pypdf to 6.21.3 if you use the affected versions. Test the change in a non-production environment first.

Evidence timeline and material changes

  1. Published upstream

    Oct 29, 2026

    Evidence: source:cvelist:source_dates:source-dates:record

  2. Source modified

    Oct 29, 2026

    Evidence: source:cvelist:source_dates:source-dates:record

  3. First seen by HOL

    Oct 29, 2026

Sources and claim methodology

  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
Upstream source 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.

Quoted source text, attributed separately from HOL analysis.

Related CVEs

  • pypdf: Possible infinite loop when hitting EOF in standard xref table during trailer searchSame py-pdf/pypdf package
  • pypdf: Possible large memory usage when parsing page treeSame py-pdf/pypdf package
  • pypdf: Possible infinite loop when cloning dictionariesSame py-pdf/pypdf package
  • pypdf: Possible long runtimes when retrieving page labelsSame py-pdf/pypdf package
  • pypdf: Possible large memory usage for exceptions in strict modeSame py-pdf/pypdf package
  • pypdf: Possible large memory usage when parsing cross-reference streamsSame py-pdf/pypdf package

Record context

Vulnerability class
Vulnerability
EPSS
Not reported
CWE IDs
CWE-400
Source
CVE List V5
Source checked
Oct 29, 2026
References
4 linked sources
Open source record