4.8
MEDIUM CVSS 4.0
CVE-2026-71870
pypdf: Possible large memory usage for large /ToUnicode streams
Description

pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0.

INFO

Published Date :

Aug. 7, 2026, 8:16 p.m.

Last Modified :

Aug. 7, 2026, 8:16 p.m.

Remotely Exploit :

No
Affected Products

The following products are affected by CVE-2026-71870 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 4.0 MEDIUM [email protected]
Solution
Update pypdf to version 6.15.0 or later to prevent excessive memory usage.
  • Update pypdf to version 6.15.0.
  • Use a newer version of the pypdf library.
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2026-71870.

URL Resource
https://github.com/py-pdf/pypdf/commit/afba8080e19d29a3c256a742b340995e695b35aa
https://github.com/py-pdf/pypdf/pull/3944
https://github.com/py-pdf/pypdf/releases/tag/6.15.0
https://github.com/py-pdf/pypdf/security/advisories/GHSA-fp3f-mc75-235c
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-71870 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-71870 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-71870 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2026-71870 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Aug. 07, 2026

    Action Type Old Value New Value
    Added Affected [{'vendor': 'py-pdf', 'product': 'pypdf', 'versions': [{'status': 'affected', 'version': '< 6.15.0'}]}]
    Added Description pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0.
    Added CVSS V4.0 AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
    Added CWE CWE-400
    Added Reference https://github.com/py-pdf/pypdf/commit/afba8080e19d29a3c256a742b340995e695b35aa
    Added Reference https://github.com/py-pdf/pypdf/pull/3944
    Added Reference https://github.com/py-pdf/pypdf/releases/tag/6.15.0
    Added Reference https://github.com/py-pdf/pypdf/security/advisories/GHSA-fp3f-mc75-235c
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.