CVE-2026-49460: CWE-407: Inefficient Algorithmic Complexity in py-pdf pypdf
CVE-2026-49460 is a medium severity vulnerability in the pypdf library prior to version 6.12.2. It involves inefficient algorithmic complexity triggered by specially crafted PDF files that use the /FlateDecode filter with a PNG predictor, causing long runtimes during processing. This issue has been fixed in version 6.12.2.
AI Analysis
Technical Summary
The vulnerability CVE-2026-49460 affects pypdf, a pure-Python PDF library. An attacker can craft a PDF that exploits inefficient algorithmic complexity when the library processes streams using the /FlateDecode filter with a PNG predictor. This leads to prolonged processing times, potentially causing denial of service through resource exhaustion. The flaw is addressed in pypdf version 6.12.2.
Potential Impact
An attacker can cause the pypdf library to consume excessive processing time by providing a malicious PDF file, leading to potential denial of service conditions in applications using vulnerable versions. There is no indication of code execution or data disclosure from the provided data.
Mitigation Recommendations
Upgrade to pypdf version 6.12.2 or later, where this vulnerability is fixed. No other mitigation or temporary workaround is indicated.
CVE-2026-49460: CWE-407: Inefficient Algorithmic Complexity in py-pdf pypdf
Description
CVE-2026-49460 is a medium severity vulnerability in the pypdf library prior to version 6.12.2. It involves inefficient algorithmic complexity triggered by specially crafted PDF files that use the /FlateDecode filter with a PNG predictor, causing long runtimes during processing. This issue has been fixed in version 6.12.2.
CVSS v4.0
Score 5.1medium
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability CVE-2026-49460 affects pypdf, a pure-Python PDF library. An attacker can craft a PDF that exploits inefficient algorithmic complexity when the library processes streams using the /FlateDecode filter with a PNG predictor. This leads to prolonged processing times, potentially causing denial of service through resource exhaustion. The flaw is addressed in pypdf version 6.12.2.
Potential Impact
An attacker can cause the pypdf library to consume excessive processing time by providing a malicious PDF file, leading to potential denial of service conditions in applications using vulnerable versions. There is no indication of code execution or data disclosure from the provided data.
Mitigation Recommendations
Upgrade to pypdf version 6.12.2 or later, where this vulnerability is fixed. No other mitigation or temporary workaround is indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-30T02:43:33.107Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a39a0f5eed863c81e6b01e7
Added to database: 06/22/2026, 20:54:13 UTC
Last enriched: 06/22/2026, 21:09:44 UTC
Last updated: 06/22/2026, 23:37:01 UTC
Views: 7
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