CVE-2020-13112 Overview
An issue was discovered in libexif before 0.6.22 involving several buffer over-reads in EXIF MakerNote handling. This vulnerability could lead to information disclosure and application crashes when processing maliciously crafted image files. The flaw affects the widely-used libexif library, which is responsible for parsing EXIF metadata from images and is integrated into numerous Linux distributions and applications.
Critical Impact
Attackers can exploit this vulnerability remotely by providing maliciously crafted image files to applications using vulnerable versions of libexif, potentially disclosing sensitive memory contents or causing denial of service through application crashes.
Affected Products
- libexif_project libexif (versions before 0.6.22)
- Debian Linux 8.0
- Canonical Ubuntu Linux (12.04, 14.04 ESM, 16.04 ESM, 18.04 LTS, 19.10, 20.04 LTS)
- openSUSE Leap 15.1
Discovery Timeline
- 2020-05-21 - CVE-2020-13112 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2020-13112
Vulnerability Analysis
This vulnerability is classified as CWE-125 (Out-of-Bounds Read), affecting the EXIF MakerNote parsing functionality in libexif. MakerNote data is manufacturer-specific metadata embedded within EXIF data of images, often containing proprietary information from camera manufacturers.
The vulnerability exists because the libexif library does not properly validate buffer boundaries when processing MakerNote entries from various camera manufacturers. When the library encounters specially crafted MakerNote data, it can read beyond the allocated buffer boundaries, potentially exposing sensitive memory contents or causing the application to crash.
The network attack vector is possible because applications using libexif often process images from untrusted sources, such as web applications handling user-uploaded images, email clients displaying image attachments, or file managers generating thumbnails. An attacker does not require any privileges or user interaction to exploit this vulnerability.
Root Cause
The root cause of CVE-2020-13112 lies in insufficient bounds checking within the MakerNote parsing code of libexif. The library fails to properly validate the size and offset values within MakerNote structures before using them to access memory. This allows carefully crafted offset or size values to trick the parser into reading memory locations outside the intended buffer, leading to out-of-bounds read conditions.
Attack Vector
The attack vector for CVE-2020-13112 is network-based and does not require authentication or user interaction. An attacker can exploit this vulnerability by:
- Creating a malicious image file with specially crafted EXIF MakerNote data containing invalid offset or size values
- Distributing this file through various channels such as web uploads, email attachments, or file sharing platforms
- When a vulnerable application processes the image using libexif, the malformed MakerNote triggers buffer over-reads
The exploitation can result in:
- Information Disclosure: Reading sensitive data from adjacent memory locations that may contain cryptographic keys, authentication tokens, or other confidential information
- Denial of Service: Causing application crashes when the out-of-bounds read accesses invalid memory regions
The vulnerability affects any application that uses libexif to parse EXIF metadata from untrusted images, including image viewers, photo management software, web servers processing uploaded images, and thumbnail generators.
Detection Methods for CVE-2020-13112
Indicators of Compromise
- Unexpected crashes in applications that process image files with EXIF data
- Memory access violations or segmentation faults in libexif-dependent processes
- Anomalous image files with malformed or oversized MakerNote EXIF sections
- Core dumps or error logs indicating out-of-bounds memory access in libexif functions
Detection Strategies
- Monitor system logs for segmentation faults or memory access violations in applications using libexif
- Implement file integrity monitoring for systems processing untrusted image uploads
- Use application-level sandboxing to detect and contain abnormal memory access patterns
- Deploy SentinelOne Singularity platform for real-time detection of exploitation attempts and memory corruption behaviors
Monitoring Recommendations
- Enable detailed logging for image processing applications to capture EXIF parsing errors
- Implement network monitoring for suspicious image file transfers with unusually large or malformed EXIF sections
- Configure intrusion detection systems to alert on patterns consistent with memory disclosure attacks
- Use SentinelOne's behavioral AI to detect anomalous process behavior during image file processing
How to Mitigate CVE-2020-13112
Immediate Actions Required
- Upgrade libexif to version 0.6.22 or later immediately on all affected systems
- Apply vendor-provided security patches from your Linux distribution
- Audit systems to identify all applications and services that depend on libexif
- Consider temporarily disabling EXIF processing in critical applications until patching is complete
Patch Information
The libexif project has addressed this vulnerability in version 0.6.22. The fix is available in the GitHub commit 435e21f05001fb03f9f186fa7cbc69454afd00d1.
Distribution-specific patches are available:
- Ubuntu: USN-4396-1
- Debian: Debian LTS Security Notice
- Gentoo: GLSA 202007-05
- openSUSE: openSUSE Security Announcement
Workarounds
- Implement input validation to reject image files with suspicious or oversized EXIF data before processing
- Run applications that process untrusted images in sandboxed environments with limited memory access
- Use memory-safe alternatives or wrappers when processing images from untrusted sources
- Deploy SentinelOne endpoint protection to detect and prevent exploitation attempts in real-time
# Update libexif on Debian/Ubuntu systems
sudo apt update
sudo apt install --only-upgrade libexif12
# Verify libexif version after update
dpkg -l | grep libexif
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

