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CVE Vulnerability Database

CVE-2023-3164: LibTIFF Denial of Service Vulnerability

CVE-2023-3164 is a heap-buffer-overflow flaw in LibTIFF's tiffcrop tool that enables denial of service attacks through malicious TIFF files. This article covers the technical details, affected versions, impact, and mitigation.

Published:

CVE-2023-3164 Overview

A heap-buffer-overflow vulnerability was discovered in LibTIFF, specifically in the extractImageSection() function located at tools/tiffcrop.c:7916 and tools/tiffcrop.c:7801. This memory corruption flaw allows attackers to cause a denial of service by crafting a malicious TIFF file that triggers the overflow condition when processed by the tiffcrop utility.

Critical Impact

Attackers can crash applications processing TIFF images, leading to denial of service. Systems that automatically process user-uploaded TIFF files are particularly at risk.

Affected Products

  • LibTIFF (all versions prior to patch)
  • Red Hat Enterprise Linux 7.0
  • Red Hat Enterprise Linux 8.0
  • Red Hat Enterprise Linux 9.0

Discovery Timeline

  • 2023-11-02 - CVE-2023-3164 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-3164

Vulnerability Analysis

This vulnerability is classified under CWE-120 (Buffer Copy without Checking Size of Input) and CWE-787 (Out-of-bounds Write). The flaw resides in the extractImageSection() function within the tiffcrop tool, which is used to manipulate TIFF image files. When processing a specially crafted TIFF file, the function fails to properly validate buffer boundaries before writing data, resulting in a heap-buffer-overflow condition.

The vulnerability requires local access and user interaction—specifically, a victim must process a malicious TIFF file using the vulnerable tiffcrop utility. While the attack does not lead to information disclosure or integrity compromise, it can reliably cause the application to crash, resulting in a denial of service condition.

Root Cause

The root cause of this vulnerability lies in insufficient bounds checking within the extractImageSection() function. When extracting image sections from a TIFF file, the function allocates a heap buffer based on expected dimensions but fails to verify that subsequent write operations remain within the allocated buffer boundaries. A maliciously crafted TIFF file can specify dimensions or offsets that cause the function to write beyond the allocated heap buffer.

Attack Vector

This vulnerability requires local access to the target system. An attacker must convince a user to process a maliciously crafted TIFF file using the tiffcrop utility or an application that incorporates this functionality. The attack can be delivered through various social engineering vectors such as email attachments, file sharing platforms, or by placing malicious files in directories monitored by automated image processing systems.

The exploitation does not require any special privileges, but does require user interaction to open or process the malicious file. Upon successful exploitation, the heap-buffer-overflow causes the application to crash, denying service to legitimate users.

Detection Methods for CVE-2023-3164

Indicators of Compromise

  • Unexpected crashes of tiffcrop or applications using LibTIFF for TIFF processing
  • Core dumps or crash reports related to extractImageSection() function calls
  • Presence of unusually structured TIFF files with malformed dimension or offset values
  • Application logs showing segmentation faults during TIFF file processing

Detection Strategies

  • Monitor system logs for repeated crashes of tiffcrop or LibTIFF-dependent applications
  • Implement file integrity monitoring for directories containing TIFF processing utilities
  • Deploy runtime application protection to detect heap corruption attempts
  • Use AddressSanitizer (ASan) in development environments to catch buffer overflow attempts

Monitoring Recommendations

  • Configure crash reporting to alert security teams when LibTIFF-related applications fail
  • Monitor for unusual patterns of TIFF file processing failures across systems
  • Implement network monitoring to detect delivery of potentially malicious TIFF files
  • Review application logs for repeated processing failures of specific TIFF files

How to Mitigate CVE-2023-3164

Immediate Actions Required

  • Update LibTIFF to the latest patched version available from your distribution
  • Restrict access to tiffcrop utility to only trusted users who require it
  • Implement input validation for TIFF files before processing them with tiffcrop
  • Consider removing or disabling the tiffcrop utility if not required for operations

Patch Information

Organizations should apply available security updates from their Linux distribution vendors. Red Hat has acknowledged this vulnerability for Enterprise Linux versions 7.0, 8.0, and 9.0. Administrators should consult the Red Hat CVE Advisory for specific patch information and the Red Hat Bug Report for detailed tracking. The upstream issue is tracked in the LibTIFF GitLab repository.

Workarounds

  • Avoid processing untrusted TIFF files with the tiffcrop utility until patched
  • Use alternative TIFF processing tools that are not affected by this vulnerability
  • Implement sandboxing or containerization for TIFF processing operations to limit impact
  • Validate TIFF file structure before processing using third-party validation tools
bash
# Check current LibTIFF version
tiffcp -v 2>&1 | head -1

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

# Update LibTIFF on Debian/Ubuntu systems  
sudo apt-get update && sudo apt-get upgrade libtiff-tools

# Restrict tiffcrop permissions as temporary mitigation
sudo chmod 750 /usr/bin/tiffcrop

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

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