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CVE-2026-3950: Out-of-Bounds Read in strukturag libheif

0
Medium
VulnerabilityCVE-2026-3950cvecve-2026-3950
Published: Wed Mar 11 2026 (03/11/2026, 19:02:08 UTC)
Source: CVE Database V5
Vendor/Project: strukturag
Product: libheif

Description

A vulnerability was identified in strukturag libheif up to 1.21.2. This impacts the function Track::load of the file libheif/sequences/track.cc of the component stsz/stts. The manipulation leads to out-of-bounds read. The attack needs to be performed locally. The exploit is publicly available and might be used. Applying a patch is the recommended action to fix this issue. The patch available is inofficial and not approved yet.

AI-Powered Analysis

AILast updated: 03/11/2026, 19:44:55 UTC

Technical Analysis

CVE-2026-3950 is an out-of-bounds read vulnerability discovered in the strukturag libheif library, affecting versions 1.21.0 through 1.21.2. The vulnerability resides in the Track::load function within the file libheif/sequences/track.cc, specifically in the handling of the stsz/stts components, which are responsible for parsing track sample size and timing information in HEIF image sequences. An out-of-bounds read occurs when malformed input causes the function to read memory beyond the allocated buffer, potentially leading to information disclosure or application crashes. Exploitation requires local access with low privileges and does not require user interaction, making it a local privilege escalation or information disclosure vector rather than a remote attack. The vulnerability has a CVSS 4.8 score, indicating medium severity, with an attack vector limited to local access and low complexity. Although an unofficial patch is available, it has not been formally approved or integrated into official releases. The exploit code is publicly available, increasing the risk of exploitation once an attacker gains local access. The vulnerability does not affect confidentiality, integrity, or availability on a large scale but could be leveraged in multi-stage attacks or to gain further system insights. The affected library is widely used in applications and systems that process HEIF images, including media players, image viewers, and editing software.

Potential Impact

The primary impact of CVE-2026-3950 is the potential for local attackers to perform out-of-bounds reads, which may lead to information disclosure or application crashes. While the vulnerability does not allow remote exploitation or direct code execution, it can be leveraged in environments where untrusted users have local access, such as multi-user systems, shared workstations, or development environments. This could facilitate privilege escalation or aid attackers in crafting further exploits by revealing memory contents. The availability of public exploit code increases the risk of exploitation in such scenarios. Organizations relying on libheif for HEIF image processing in desktop or server environments may face stability issues or data leakage risks. However, the limited attack vector and requirement for local access reduce the overall threat to internet-facing systems. The vulnerability could affect software supply chains that incorporate libheif, potentially impacting software vendors and end users. The medium severity rating reflects these moderate risks, emphasizing the importance of patching to prevent exploitation in sensitive environments.

Mitigation Recommendations

To mitigate CVE-2026-3950, organizations should prioritize applying an official patch from the strukturag libheif project once it becomes available, as the current unofficial patch is not approved and may not be reliable. Until an official fix is released, restrict local access to systems processing HEIF images with libheif, especially limiting untrusted or low-privilege user accounts. Employ sandboxing or containerization techniques to isolate applications using libheif, minimizing the impact of potential out-of-bounds reads. Regularly audit and monitor local user activity to detect suspicious behavior indicative of exploitation attempts. Developers should review and harden the parsing logic in libheif, incorporating bounds checking and input validation to prevent similar vulnerabilities. Additionally, consider using alternative image processing libraries that do not exhibit this vulnerability if immediate patching is not feasible. Maintain up-to-date backups and system integrity monitoring to quickly recover from any exploitation consequences. Finally, educate users about the risks of running untrusted code locally and enforce strict access controls on critical systems.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-03-11T12:02:54.833Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69b1c2ac2f860ef943697e62

Added to database: 3/11/2026, 7:29:48 PM

Last enriched: 3/11/2026, 7:44:55 PM

Last updated: 3/13/2026, 9:38:15 AM

Views: 10

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