CVE-2026-28804: Pypdf_project Pypdf DOS Vulnerability

CVE-2026-28804 Overview

CVE-2026-28804 is an algorithmic complexity vulnerability in pypdf, a free and open-source pure-python PDF library. Prior to version 6.7.5, an attacker can craft a malicious PDF document that leads to excessive runtime when processing streams using the /ASCIIHexDecode filter. This denial of service condition occurs due to inefficient algorithmic handling in the filter's decoding logic, allowing resource exhaustion attacks against applications that process untrusted PDF files.

Critical Impact
Applications using vulnerable pypdf versions to process untrusted PDF documents are susceptible to denial of service attacks through crafted PDFs with malicious ASCIIHexDecode streams, potentially causing service unavailability.

Affected Products

pypdf_project pypdf versions prior to 6.7.5

Discovery Timeline

2026-03-06 - CVE-2026-28804 published to NVD
2026-03-10 - Last updated in NVD database

Technical Details for CVE-2026-28804

Vulnerability Analysis

This vulnerability falls under CWE-407 (Inefficient Algorithmic Complexity). The pypdf library's /ASCIIHexDecode filter implementation contained inefficient processing logic that could be exploited to cause excessive CPU consumption. When parsing a specially crafted PDF stream utilizing this filter, the decoding routine would exhibit poor algorithmic performance, resulting in prolonged execution times that could render the application unresponsive.

The ASCIIHexDecode filter is used in PDF documents to encode binary data as hexadecimal characters. Malicious PDFs can be constructed to trigger worst-case algorithmic behavior in the vulnerable implementation, making this an effective vector for denial of service attacks against document processing systems, web applications accepting PDF uploads, and automated document workflows.

Root Cause

The root cause lies in the inefficient implementation of the ASCIIHexDecode filter within the pypdf/filters.py module. The original implementation did not leverage optimized binary conversion methods, leading to algorithmic complexity issues when processing large or maliciously structured hexadecimal streams. The fix introduces the binascii module for improved hexadecimal decoding performance.

Attack Vector

The attack is network-exploitable without authentication or user interaction. An attacker can submit a malicious PDF to any service using a vulnerable pypdf version. The attack payload consists of a PDF document containing a stream object with the /ASCIIHexDecode filter configured to trigger the inefficient processing path. When the application attempts to decode this stream, it enters an extended processing state, consuming CPU resources and potentially blocking other operations.

python

# Security patch in pypdf/filters.py
# Source: GitHub Commit 648c627d2657447dfb1773412af05a0a5103b98f

 __author__ = "Mathieu Fenniak"
 __author_email__ = "biziqe@mathieu.fenniak.net"

+import binascii
 import math
 import os
 import shutil

Source: GitHub Commit for pypdf

The patch adds the binascii module import, which provides optimized C-level functions for hexadecimal encoding/decoding operations, replacing the slower pure-Python implementation.

Detection Methods for CVE-2026-28804

Indicators of Compromise

Abnormally long PDF processing times or timeouts in application logs
High CPU utilization spikes when processing specific PDF documents
Application hang or unresponsiveness triggered by PDF file uploads
Memory or resource exhaustion errors in pypdf-dependent services

Detection Strategies

Monitor application performance metrics for anomalous processing durations when handling PDF files
Implement request timeout mechanisms for PDF processing operations to detect potential exploitation attempts
Scan Python dependencies using software composition analysis (SCA) tools to identify vulnerable pypdf versions
Review application logs for repeated timeout or resource exhaustion events associated with PDF processing

Monitoring Recommendations

Deploy application performance monitoring (APM) to track PDF processing duration baselines and alert on deviations
Configure resource limits (CPU, memory, timeout) for processes handling PDF documents
Implement rate limiting on PDF upload endpoints to mitigate mass exploitation attempts
Use SentinelOne Singularity to monitor for process behavior anomalies associated with resource exhaustion attacks

How to Mitigate CVE-2026-28804

Immediate Actions Required

Upgrade pypdf to version 6.7.5 or later immediately
Audit applications and dependencies to identify all instances of vulnerable pypdf versions
Implement input validation and timeout controls for PDF processing functionality
Consider temporarily disabling PDF processing from untrusted sources until patching is complete

Patch Information

The vulnerability has been addressed in pypdf version 6.7.5. The fix improves the performance of the ASCIIHexDecode filter by utilizing Python's optimized binascii module for hexadecimal decoding operations. Organizations should update their pypdf dependency to the patched version.

For detailed patch information, refer to the GitHub Security Advisory GHSA-9m86-7pmv-2852 and GitHub Pull Request #3666.

Workarounds

Implement strict timeout limits for PDF processing operations to prevent extended resource consumption
Deploy input size restrictions on PDF uploads to reduce attack surface
Run PDF processing in isolated sandboxed environments with resource constraints
Consider pre-screening PDF files for suspicious stream configurations before processing

bash

# Configuration example - Update pypdf using pip
pip install --upgrade pypdf>=6.7.5

# Verify installed version
pip show pypdf | grep Version