CVE-2026-113790 PUBLISHED

pypdf: Possible large memory usage when parsing arrays and dictionaries

Assigner: GitHub_M
Reserved: 20.10.2026 Published: 21.10.2026 Updated: 21.10.2026

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.0, an attacker can craft a PDF containing arrays or dictionaries with many elements, causing parsing to consume large amounts of memory. This issue is fixed in version 6.21.0.

Metrics

CVSS 4.0

CVSS Vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
CVSS Score: 6

Exploitability Metrics		Vulnerable System Impact Metrics		Subsequent System Impact Metrics
Attack Vector	Network	Confidentiality	None	Confidentiality	None
Attack Complexity	Low	Integrity	None	Integrity	None
Attack Requirements	Present	Availability	High	Availability	None
Privileges Required	None
User Interaction	Passive

CVSS 4.0

Product Status

Vendor	py-pdf
Product	pypdf
Versions	Version < 6.21.0 is affected

References

Problem Types

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