Medium [CVE-2026-59938] Possible large memory usage for wrong image dimensions
This medium-severity Red Hat Linux advisory covers CVE-2026-59938 affecting Exploit Intelligence, OpenShift Lightspeed, Red Hat Ansible Automation Platform 2.
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Summary
pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing.
This issue is fixed in version 6.14.0. Moderate: A flaw in the pypdf library allows an attacker to craft a malicious PDF with oversized image declarations, leading to excessive memory consumption during parsing.
This could result in a denial of service on systems processing untrusted PDF files. Red Hat severity: Moderate — CVSS 5.3 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L).
Weakness: CWE-770. Affected Red Hat products: Exploit Intelligence; OpenShift Lightspeed; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI); Red Hat Quay 3.
Red Hat does not currently list a fixing RHSA for this CVE.
- < 6.14.0
Official advisory · high-confidence parse· fetched 10 days ago·verify at source
Mitigation checklist
- Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.
Official advisory · high-confidence parse· fetched 10 days ago·verify at source
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