CVE-2024-41311 Overview
CVE-2024-41311 is a memory corruption vulnerability in Libheif 1.17.6, a popular library for reading and writing HEIF (High Efficiency Image Format) and AVIF image files. The vulnerability stems from insufficient validation checks in the ImageOverlay::parse() function when processing HEIF files containing overlay images. An attacker can craft a malicious HEIF file with forged offsets that triggers out-of-bounds read and write operations when the file is decoded.
Critical Impact
Successful exploitation of this vulnerability can lead to memory corruption, potentially allowing attackers to read sensitive memory contents or corrupt memory regions through specially crafted HEIF image files.
Affected Products
- Struktur Libheif version 1.17.6
- Debian Linux 11.0 (containing vulnerable libheif packages)
- Applications and systems utilizing the affected libheif library for HEIF/AVIF image processing
Discovery Timeline
- 2024-10-15 - CVE-2024-41311 published to NVD
- 2025-03-24 - Last updated in NVD database
Technical Details for CVE-2024-41311
Vulnerability Analysis
The vulnerability exists within the ImageOverlay::parse() function in the libheif library. When parsing a HEIF file that contains an overlay image specification, the function fails to adequately validate the offset values provided in the file structure. HEIF files can contain multiple images arranged in layers, with overlay images specifying positioning offsets for compositing operations.
The insufficient bounds checking allows an attacker to supply forged offset values that reference memory locations outside the allocated buffer boundaries. This can result in both out-of-bounds read operations (potentially leaking sensitive memory contents) and out-of-bounds write operations (potentially corrupting memory and affecting program execution flow).
Since the attack vector is network-based and requires user interaction (opening a malicious file), this vulnerability can be exploited through various attack scenarios including malicious email attachments, compromised websites serving crafted images, or file sharing platforms.
Root Cause
The root cause of CVE-2024-41311 is classified as CWE-125 (Out-of-Bounds Read). The ImageOverlay::parse() function lacks proper validation of offset parameters when processing overlay image data structures within HEIF files. The parser trusts the offset values embedded in the file without verifying they fall within valid memory boundaries, allowing malformed input to trigger reads and writes beyond allocated buffer regions.
Attack Vector
The attack requires a victim to open a specially crafted HEIF file using an application that relies on the vulnerable libheif library for image decoding. The attack can be delivered through:
- Email attachments - Malicious HEIF images sent as attachments
- Web-based delivery - Hosting crafted images on websites that trigger automatic preview generation
- File sharing - Distributing malicious images through cloud storage or messaging platforms
- Document embedding - Embedding malicious HEIF images in documents that support image embedding
The vulnerability is exploited at the moment of image parsing, meaning simply opening or previewing the malicious file can trigger the memory corruption. The attacker must craft a HEIF file with an overlay image structure containing carefully calculated invalid offsets to target specific memory regions.
Detection Methods for CVE-2024-41311
Indicators of Compromise
- Unexpected crashes or segmentation faults in applications processing HEIF/AVIF images
- Memory corruption errors reported by applications using libheif
- Unusual HEIF files with abnormally large or negative offset values in overlay image structures
- Application logs showing parsing errors related to overlay image processing
Detection Strategies
- Monitor for crashes in image processing applications that may indicate exploitation attempts
- Implement file integrity monitoring for HEIF files entering the environment
- Deploy memory protection tools to detect out-of-bounds memory access patterns
- Use application sandboxing to isolate image processing operations
Monitoring Recommendations
- Enable crash reporting and analysis for applications utilizing libheif
- Monitor network traffic for unusual HEIF file transfers, particularly from untrusted sources
- Implement endpoint detection rules for memory corruption indicators in image processing workflows
- Review application logs for libheif-related parsing errors or exceptions
How to Mitigate CVE-2024-41311
Immediate Actions Required
- Update libheif to a patched version that includes the security fix from commit a3ed1b1eb178c5d651d6ac619c8da3d71ac2be36
- Audit systems and applications to identify deployments using libheif 1.17.6
- Consider temporarily restricting HEIF file processing from untrusted sources until patching is complete
- Deploy application-level sandboxing for image processing workflows
Patch Information
The vulnerability has been addressed by the libheif maintainers through a code commit that adds proper bounds validation for overlay image offsets. Organizations should update to a patched version of libheif.
Vendor Resources:
- GitHub Commit Details - Security patch implementing bounds checking
- GitHub Pull Request Review - Pull request containing the fix
For Debian-based systems, refer to the Debian LTS Security Announcement for package update instructions.
Workarounds
- Restrict processing of HEIF files from untrusted sources until the library can be updated
- Implement input validation at the application level to reject suspicious HEIF files before passing to libheif
- Run image processing operations in isolated sandboxed environments to limit the impact of potential exploitation
- Consider temporarily disabling HEIF/AVIF image support in applications where it is not essential
# Check current libheif version on Debian/Ubuntu systems
dpkg -l | grep libheif
# Update libheif package on Debian-based systems
sudo apt update && sudo apt upgrade libheif1
# Verify the installed version after update
dpkg -l libheif1
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

