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CVE Vulnerability Database
Vulnerability Database/CVE-2020-35524

CVE-2020-35524: Libtiff Buffer Overflow Vulnerability

CVE-2020-35524 is a heap-based buffer overflow in Libtiff's TIFF2PDF tool that enables arbitrary code execution through malicious TIFF files. This article covers technical details, affected versions, impact, and mitigation.

Published: March 4, 2026

CVE-2020-35524 Overview

A heap-based buffer overflow vulnerability has been identified in libtiff, specifically in the handling of TIFF images within libtiff's TIFF2PDF tool. This memory corruption flaw occurs when processing specially crafted TIFF files, which can lead to arbitrary code execution on the affected system. The vulnerability poses a significant threat to confidentiality, integrity, and system availability, as successful exploitation could allow an attacker to execute malicious code with the privileges of the user running the vulnerable application.

Critical Impact

Successful exploitation of this heap-based buffer overflow can lead to arbitrary code execution, potentially compromising system confidentiality, integrity, and availability through malicious TIFF file processing.

Affected Products

  • libtiff libtiff (all vulnerable versions)
  • Debian Linux 9.0 and 10.0
  • Fedora 33
  • NetApp ONTAP Select Deploy Administration Utility
  • Red Hat Enterprise Linux 6.0, 7.0, and 8.0

Discovery Timeline

  • 2021-03-09 - CVE-2020-35524 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2020-35524

Vulnerability Analysis

This vulnerability is classified as CWE-787 (Out-of-bounds Write), a memory corruption issue that manifests in the TIFF2PDF conversion tool within the libtiff library. The flaw occurs during the processing of TIFF image data, where insufficient bounds checking allows data to be written beyond the allocated heap buffer boundaries.

When TIFF2PDF processes a maliciously crafted TIFF file, the tool fails to properly validate the size or structure of certain image elements before copying them into memory. This oversight creates an exploitable condition where an attacker can overwrite adjacent heap memory, potentially corrupting critical data structures or function pointers.

The local attack vector requires user interaction—specifically, convincing a user to process a malicious TIFF file using the vulnerable TIFF2PDF tool. This interaction requirement is typical for document-processing vulnerabilities and is commonly exploited through social engineering tactics such as email attachments or malicious downloads.

Root Cause

The root cause of CVE-2020-35524 lies in improper memory handling within the TIFF2PDF conversion functionality. The tool allocates a fixed or insufficiently sized buffer for TIFF image data processing but fails to enforce proper boundary checks when writing data to this buffer. When processing a TIFF file with specially crafted dimensions or data structures, the tool writes more data than the buffer can accommodate, resulting in heap memory corruption.

The vulnerability specifically affects the image data handling routines where TIFF metadata and pixel data are parsed and converted to PDF format. The lack of proper size validation before memory operations allows attackers to control the extent and content of the overflow.

Attack Vector

The attack vector for CVE-2020-35524 is local, requiring user interaction to exploit. An attacker must craft a malicious TIFF file with specific characteristics designed to trigger the buffer overflow condition during TIFF2PDF processing. The attack scenario typically involves:

  1. Creating a specially crafted TIFF file with manipulated header values or image data that exceeds expected bounds
  2. Distributing the malicious file to potential victims through email, file sharing, or web downloads
  3. Waiting for a user to process the file using the vulnerable TIFF2PDF tool
  4. Upon processing, the heap overflow occurs, potentially allowing execution of attacker-controlled code

The heap-based nature of this overflow means exploitation may require heap grooming techniques to achieve reliable code execution. However, successful exploitation grants the attacker the ability to execute arbitrary code with the same privileges as the user running the TIFF2PDF tool.

Detection Methods for CVE-2020-35524

Indicators of Compromise

  • Unexpected crashes or segmentation faults when processing TIFF files with the TIFF2PDF tool
  • Unusual TIFF files with abnormal file sizes, malformed headers, or suspicious metadata values
  • Core dumps or memory access violations associated with libtiff or TIFF2PDF processes
  • Unexpected child processes spawned from TIFF2PDF during file conversion operations

Detection Strategies

  • Monitor for abnormal behavior in processes utilizing libtiff, particularly TIFF2PDF, including unexpected memory allocation patterns
  • Implement file integrity monitoring to detect suspicious TIFF files entering the environment through email gateways or file shares
  • Deploy endpoint detection rules to identify heap corruption attempts or anomalous memory access patterns in image processing applications
  • Utilize application whitelisting to control execution of TIFF2PDF and related utilities

Monitoring Recommendations

  • Enable enhanced logging for image processing operations, particularly TIFF file conversions
  • Monitor system logs for crashes, core dumps, or security exceptions related to libtiff processes
  • Implement network monitoring to detect potential exfiltration attempts following exploitation
  • Review audit logs for unexpected process execution or privilege changes associated with image processing utilities

How to Mitigate CVE-2020-35524

Immediate Actions Required

  • Update libtiff to the latest patched version available from your distribution's package manager
  • Restrict usage of TIFF2PDF tool to trusted files from verified sources until patches are applied
  • Consider implementing sandboxing or containerization for TIFF file processing operations
  • Review and limit user permissions for running image conversion utilities

Patch Information

Security patches for CVE-2020-35524 are available from multiple sources. The vulnerability has been addressed in the GitLab Merge Request and specific fix details can be found in the GitLab Commit. Additional tracking information is available in the Red Hat Bug Report.

Distribution-specific patches are available:

  • Debian: DSA-4869 Security Advisory and Debian LTS Announcement
  • Fedora: Fedora Package Announcement
  • Gentoo: GLSA 202104-06
  • NetApp: Security Advisory ntap-20210521-0009

Workarounds

  • Avoid processing TIFF files from untrusted or unknown sources until patches are applied
  • Use alternative image conversion tools that do not rely on vulnerable libtiff versions for critical operations
  • Implement strict input validation and file type verification before processing TIFF files
  • Consider running TIFF processing operations in isolated environments or virtual machines to limit potential impact
bash
# Update libtiff on Debian/Ubuntu systems
sudo apt update && sudo apt upgrade libtiff5 libtiff-tools

# Update libtiff on RHEL/CentOS systems
sudo yum update libtiff

# Update libtiff on Fedora systems
sudo dnf update libtiff

# Verify installed version after update
dpkg -l | grep libtiff   # Debian/Ubuntu
rpm -qa | grep libtiff   # RHEL/CentOS/Fedora

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechLibtiff

  • SeverityHIGH

  • CVSS Score7.8

  • EPSS Probability0.41%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-787
  • Technical References
  • Debian LTS Announcement

  • Fedora Package Announcement

  • Gentoo GLSA Advisory

  • NetApp Security Advisory

  • Debian Security Advisory
  • Vendor Resources
  • Red Hat Bug Report

  • GitLab Merge Request

  • GitLab Commit Details
  • Related CVEs
  • CVE-2025-61144: Libtiff Buffer Overflow Vulnerability

  • CVE-2023-25433: Libtiff Buffer Overflow Vulnerability

  • CVE-2022-22844: Libtiff Buffer Overflow Vulnerability

  • CVE-2022-1355: Libtiff Buffer Overflow Vulnerability
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