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  4. CVE 2026 113786 pypdf unvalidated jpeg image data loading
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Back to active CVEs
Low · CVSS 2.3CVE-2026-113786

pypdf: Unvalidated JPEG image data loadingCVE-2026-113786

Answer in brief

CVE-2026-113786 records a Low severity (CVSS 2.3) vulnerability in pypdf: Unvalidated JPEG image data loading. 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 21, 2026Updated Oct 21, 2026Source checked Oct 21, 2026First seen by HOL Oct 21, 2026Material review Oct 21, 2026
Upstream Advisory

Key facts

Risk
Low · CVSS 2.3
Exploitation
Not marked as known exploited
Affected software
1 mapped package or product
Fix availability
Available

Why this deserves its current priority

CVSS is 2.3. 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<6.21.16.21.1

Recommended response

  1. 1Check inventory. Check lockfiles and deployed manifests for py-pdf/pypdf.
  2. 2Review the reported fix. Update py-pdf/pypdf to 6.21.1 if you use the affected versions. Test the change in a non-production environment first.

Evidence timeline and material changes

  1. Published upstream

    Oct 21, 2026

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

  2. Source modified

    Oct 21, 2026

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

  3. First seen by HOL

    Oct 21, 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 6.21.1, an attacker can craft a PDF containing image data labeled with the /DCTDecode filter that causes Pillow to select and invoke an unintended image parser when the image is loaded. Environments without the optional Pillow dependency are not affected. This issue is fixed in version 6.21.1.

Quoted source text, attributed separately from HOL analysis.

Related CVEs

  • pypdf: Possible large memory usage when parsing arrays and dictionariesSame py-pdf/pypdf package
  • pypdf: Possible large memory usage when parsing content streamsSame py-pdf/pypdf package
  • pypdf: Possible infinite loop in PdfWriter.find_outline_itemSame py-pdf/pypdf package
  • pypdf: Possible infinite loop when removing tree itemsSame py-pdf/pypdf package
  • pypdf: Possible infinite loop when hitting EOF in standard xref tableSame py-pdf/pypdf package
  • pypdf: Possible large memory usage for streams with multiple filtersSame py-pdf/pypdf package

Record context

Vulnerability class
Vulnerability
EPSS
Not reported
CWE IDs
CWE-20, CWE-183
Source
CVE List V5
Source checked
Oct 21, 2026
References
4 linked sources
Open source record