UBUNTU-CVE-2026-59938
A vulnerability in the pypdf Python library prior to version 6.14.0 allows an attacker to craft a PDF with image size values that are much larger than the actual image data. This discrepancy causes excessive memory usage during image parsing. The issue is fixed in pypdf version 6.14.0.
AI Analysis
Technical Summary
The pypdf library versions before 6.14.0 contain a vulnerability where an attacker can create a malicious PDF file with declared image size values significantly larger than the actual image data. When pypdf parses such a crafted PDF, it leads to large memory consumption, potentially impacting application stability or availability. This vulnerability has been addressed and fixed in version 6.14.0 of pypdf.
Potential Impact
Excessive memory usage during PDF image parsing can lead to denial of service conditions by exhausting system memory resources. There is no indication of code execution or data leakage from the provided information.
Mitigation Recommendations
Upgrade pypdf to version 6.14.0 or later to remediate this vulnerability. Patch status is confirmed by the vendor advisory stating the issue is fixed in 6.14.0.
UBUNTU-CVE-2026-59938
Description
A vulnerability in the pypdf Python library prior to version 6.14.0 allows an attacker to craft a PDF with image size values that are much larger than the actual image data. This discrepancy causes excessive memory usage during image parsing. The issue is fixed in pypdf version 6.14.0.
CVSS v4.0
Affected software
pkg:deb/ubuntu/[email protected]~esm2?arch=source&distro=esm-apps/xenialpkg:deb/ubuntu/[email protected]~esm2?arch=source&distro=esm-apps/bionicpkg:deb/ubuntu/[email protected]?arch=source&distro=focalpkg:deb/ubuntu/[email protected]?arch=source&distro=jammypkg:deb/ubuntu/[email protected]?arch=source&distro=nobleRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The pypdf library versions before 6.14.0 contain a vulnerability where an attacker can create a malicious PDF file with declared image size values significantly larger than the actual image data. When pypdf parses such a crafted PDF, it leads to large memory consumption, potentially impacting application stability or availability. This vulnerability has been addressed and fixed in version 6.14.0 of pypdf.
Potential Impact
Excessive memory usage during PDF image parsing can lead to denial of service conditions by exhausting system memory resources. There is no indication of code execution or data leakage from the provided information.
Mitigation Recommendations
Upgrade pypdf to version 6.14.0 or later to remediate this vulnerability. Patch status is confirmed by the vendor advisory stating the issue is fixed in 6.14.0.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- UBUNTU-CVE-2026-59938
- Osv Schema Version
- 1.7.0
- Aliases
- []
- Ecosystems
- ["Ubuntu:Pro:16.04:LTS","Ubuntu:Pro:18.04:LTS","Ubuntu:20.04:LTS","Ubuntu:22.04:LTS","Ubuntu:24.04:LTS","Ubuntu:25.10","Ubuntu:26.04:LTS"]
- Database Specific Severity
- null
- Cvss Version
- 4.0
Threat ID: 6a58b44c68715ace43d6b5e0
Added to database: 07/16/2026, 10:37:00 UTC
Last enriched: 07/16/2026, 11:29:07 UTC
Last updated: 07/31/2026, 19:24:50 UTC
Views: 7
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