CVE-2026-41314: CWE-789: Memory Allocation with Excessive Size Value in py-pdf pypdf
pypdf is a free and open-source pure-python PDF library. An attacker who uses a vulnerability present in versions prior to 6.10.2 can craft a PDF which leads to the RAM being exhausted. This requires accessing an image using `/FlateDecode` with large size values. This has been fixed in pypdf 6.10.2. As a workaround, one may apply the changes from the patch manually.
AI Analysis
Technical Summary
The vulnerability in pypdf versions before 6.10.2 allows an attacker to craft a malicious PDF containing an image with a /FlateDecode filter and an excessively large size value. When processed, this causes the library to allocate excessive amounts of memory, potentially exhausting system RAM. This is classified under CWE-789 (Memory Allocation with Excessive Size Value). The issue is resolved in pypdf 6.10.2, and users can mitigate by upgrading or manually applying the patch changes.
Potential Impact
Successful exploitation can cause denial of service by exhausting system memory when parsing crafted PDFs. There is no indication of code execution or data corruption. The impact is limited to resource exhaustion leading to potential application or system instability.
Mitigation Recommendations
Upgrade pypdf to version 6.10.2 or later, where the vulnerability is fixed. Alternatively, manually apply the patch changes provided by the vendor. Since this is a library vulnerability, ensure that any software using affected pypdf versions is updated accordingly. No other specific mitigations are indicated.
CVE-2026-41314: CWE-789: Memory Allocation with Excessive Size Value in py-pdf pypdf
Description
pypdf is a free and open-source pure-python PDF library. An attacker who uses a vulnerability present in versions prior to 6.10.2 can craft a PDF which leads to the RAM being exhausted. This requires accessing an image using `/FlateDecode` with large size values. This has been fixed in pypdf 6.10.2. As a workaround, one may apply the changes from the patch manually.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in pypdf versions before 6.10.2 allows an attacker to craft a malicious PDF containing an image with a /FlateDecode filter and an excessively large size value. When processed, this causes the library to allocate excessive amounts of memory, potentially exhausting system RAM. This is classified under CWE-789 (Memory Allocation with Excessive Size Value). The issue is resolved in pypdf 6.10.2, and users can mitigate by upgrading or manually applying the patch changes.
Potential Impact
Successful exploitation can cause denial of service by exhausting system memory when parsing crafted PDFs. There is no indication of code execution or data corruption. The impact is limited to resource exhaustion leading to potential application or system instability.
Mitigation Recommendations
Upgrade pypdf to version 6.10.2 or later, where the vulnerability is fixed. Alternatively, manually apply the patch changes provided by the vendor. Since this is a library vulnerability, ensure that any software using affected pypdf versions is updated accordingly. No other specific mitigations are indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-04-20T14:01:46.671Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69e93e1919fe3cd2cdf2afe3
Added to database: 4/22/2026, 9:31:05 PM
Last enriched: 4/22/2026, 9:46:02 PM
Last updated: 4/22/2026, 11:43:14 PM
Views: 7
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