pypdf, Denial of Service, CVE-2026-0777 (Moderate)

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The vulnerability stems from how pypdf handles the `/ToUnicode` entry in a PDF’s font dictionary. During text extraction, the library parses this stream to map character codes to Unicode values. An attacker can craft a PDF where the `/ToUnicode` stream contains excessively large data structures or deeply nested tables . When pypdf attempts to process this malicious stream, it allocates massive amounts of memory and enters prolonged computational loops to parse the inflated data. This leads to extreme memory consumption and near-infinite processing times, effectively causing a Denial of Service (DoS) by exhausting system resources. The issue is triggered during standard PDF parsing operations like text extraction .
Platform: pypdf
Version: <6.7.1
Vulnerability: Resource exhaustion
Severity: Moderate
date: 17 Feb 2026

Prediction: 18 Feb 2026

What Undercode Say:

Analytics

Check installed pypdf version
pip show pypdf | grep Version
List all installed packages to verify dependencies
pip list | grep pypdf
Check Python environment for the vulnerable package
python3 -c "import pypdf; print(pypdf.<strong>version</strong>)"

Exploit

Craft a malicious PDF with oversized /ToUnicode stream
from pypdf import PdfWriter, PdfReader
Example of how a malicious stream might be structured
malicious_content = b"""
/ToUnicode <<
/Length 9999999

<blockquote>
  <blockquote>
    stream
    ...extremely large data...
    endstream
    """
    This would cause excessive memory allocation when read
    reader = PdfReader("malicious.pdf")
    reader.pages[bash].extract_text()
    

Protection

Upgrade to patched version immediately
pip install --upgrade pypdf==6.7.1
Verify the upgrade
pip show pypdf | grep Version
If unable to upgrade, apply the patch from PR 3646 manually
Download and apply the patch file
wget https://github.com/py-pdf/pypdf/pull/3646.patch
patch -p1 < 3646.patch

Impact

Monitor resource usage during PDF processing
Check for excessive memory consumption
top -p $(pgrep -f "python.pypdf")
Monitor system memory pressure
watch -n 1 free -h
Example of resource limits to prevent DoS
Set ulimit for processes handling untrusted PDFs
ulimit -v 1048576 Limit virtual memory to 1GB

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Sources:

Reported By: github.com
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