Pdfly: pypdf: Possible large memory usage when parsing font data (CVE-2026-102996)
A vulnerability in pdfly's pypdf component allows crafted PDFs with large font width values to cause excessive memory usage during parsing. This issue affects versions from 0.4.0 up to but not including 0.5.1_26. The vulnerability has been fixed in pypdf version 6.18.1. Users unable to upgrade immediately can apply the changes from the referenced pull request as a workaround.
AI Analysis
Technical Summary
CVE-2026-102996 describes a vulnerability in pdfly's pypdf library where parsing the /Widths entry of TrueType or Type1 fonts with unusually large values in a crafted PDF can lead to large memory consumption. This occurs during operations such as text extraction. The issue affects versions >=0.4.0 and <0.5.1_26 of pdfly. The vulnerability has been addressed and fixed in pypdf version 6.18.1. A workaround is available by applying the changes from pull request #4072 if upgrading is not immediately possible.
Potential Impact
An attacker can craft a malicious PDF that triggers excessive memory consumption in affected versions of pdfly, potentially leading to denial of service conditions due to resource exhaustion. There is no indication of code execution or data leakage from the provided information.
Mitigation Recommendations
Upgrade to pypdf version 6.18.1 or later to fully remediate this vulnerability. If upgrading is not feasible immediately, apply the changes from pull request #4072 as a temporary workaround.
Pdfly: pypdf: Possible large memory usage when parsing font data (CVE-2026-102996)
Description
A vulnerability in pdfly's pypdf component allows crafted PDFs with large font width values to cause excessive memory usage during parsing. This issue affects versions from 0.4.0 up to but not including 0.5.1_26. The vulnerability has been fixed in pypdf version 6.18.1. Users unable to upgrade immediately can apply the changes from the referenced pull request as a workaround.
CVSS v4.0
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-102996 describes a vulnerability in pdfly's pypdf library where parsing the /Widths entry of TrueType or Type1 fonts with unusually large values in a crafted PDF can lead to large memory consumption. This occurs during operations such as text extraction. The issue affects versions >=0.4.0 and <0.5.1_26 of pdfly. The vulnerability has been addressed and fixed in pypdf version 6.18.1. A workaround is available by applying the changes from pull request #4072 if upgrading is not immediately possible.
Potential Impact
An attacker can craft a malicious PDF that triggers excessive memory consumption in affected versions of pdfly, potentially leading to denial of service conditions due to resource exhaustion. There is no indication of code execution or data leakage from the provided information.
Mitigation Recommendations
Upgrade to pypdf version 6.18.1 or later to fully remediate this vulnerability. If upgrading is not feasible immediately, apply the changes from pull request #4072 as a temporary workaround.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BREW-pdfly-CVE-2026-102996
- Osv Schema Version
- 1.7.3
- Ecosystems
- ["Homebrew"]
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6ac13971a43b0b3b89d5fe17
Added to database: 10/03/2026, 17:20:49 UTC
Last enriched: 10/03/2026, 17:27:29 UTC
Last updated: 10/04/2026, 02:46:02 UTC
Views: 5
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