Pdfly: pypdf: Possible long runtimes with large amount of embedded files (CVE-2026-102999)
A vulnerability in pdfly's pypdf library allows crafted PDFs with many embedded files to cause long runtimes when accessed via the dictionary-based API. This can degrade performance but does not indicate code execution or data compromise. The issue is fixed in pypdf version 6.19.0. Users unable to upgrade immediately can apply the changes from the referenced pull request as a workaround.
AI Analysis
Technical Summary
CVE-2026-102999 describes a performance-related vulnerability in the pdfly pypdf library where an attacker can craft a PDF containing a large number of embedded files. When these embedded files are accessed through the dictionary-based API, it can cause prolonged runtimes, potentially leading to denial of service conditions. The vulnerability has been addressed and fixed in pypdf version 6.19.0. A workaround is available by applying the changes from pull request #4081 if upgrading is not immediately possible.
Potential Impact
The vulnerability allows an attacker to cause long runtimes (performance degradation) by crafting PDFs with many embedded files accessed via the dictionary-based API. There is no indication of privilege escalation, code execution, or data leakage. The impact is limited to potential denial of service through resource exhaustion.
Mitigation Recommendations
Upgrade to pypdf version 6.19.0 or later to apply the official fix. If upgrading is not feasible immediately, apply the changes from pull request #4081 as a temporary workaround.
Pdfly: pypdf: Possible long runtimes with large amount of embedded files (CVE-2026-102999)
Description
A vulnerability in pdfly's pypdf library allows crafted PDFs with many embedded files to cause long runtimes when accessed via the dictionary-based API. This can degrade performance but does not indicate code execution or data compromise. The issue is fixed in pypdf version 6.19.0. 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-2026-102999 describes a performance-related vulnerability in the pdfly pypdf library where an attacker can craft a PDF containing a large number of embedded files. When these embedded files are accessed through the dictionary-based API, it can cause prolonged runtimes, potentially leading to denial of service conditions. The vulnerability has been addressed and fixed in pypdf version 6.19.0. A workaround is available by applying the changes from pull request #4081 if upgrading is not immediately possible.
Potential Impact
The vulnerability allows an attacker to cause long runtimes (performance degradation) by crafting PDFs with many embedded files accessed via the dictionary-based API. There is no indication of privilege escalation, code execution, or data leakage. The impact is limited to potential denial of service through resource exhaustion.
Mitigation Recommendations
Upgrade to pypdf version 6.19.0 or later to apply the official fix. If upgrading is not feasible immediately, apply the changes from pull request #4081 as a temporary workaround.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BREW-pdfly-CVE-2026-102999
- Osv Schema Version
- 1.7.3
- Ecosystems
- ["Homebrew"]
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6ac13971a43b0b3b89d5fe14
Added to database: 10/03/2026, 17:20:49 UTC
Last enriched: 10/03/2026, 17:27:13 UTC
Last updated: 10/04/2026, 02:46:02 UTC
Views: 3
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