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CVE Vulnerability Database
Vulnerability Database/CVE-2026-23868

CVE-2026-23868: Giflib Use-After-Free Vulnerability

CVE-2026-23868 is a use-after-free vulnerability in Giflib caused by a double-free flaw from shallow copying in GifMakeSavedImage. This article covers technical details, affected versions, security impact, and mitigation.

Published: March 13, 2026

CVE-2026-23868 Overview

CVE-2026-23868 is a double-free vulnerability affecting Giflib, a widely-used library for reading and writing GIF image files. The vulnerability stems from improper memory management in the GifMakeSavedImage function, where a shallow copy operation combined with incorrect error handling can lead to the same memory being freed twice. While the conditions required to trigger this vulnerability are complex, successful exploitation could result in denial of service through application crashes.

Critical Impact

Double-free vulnerabilities in image processing libraries can cause application crashes and potential memory corruption, affecting any software that processes GIF images using Giflib.

Affected Products

  • Giflib (specific affected versions not disclosed in advisory)
  • Applications and systems integrating Giflib for GIF image processing
  • Third-party software utilizing Giflib as a dependency

Discovery Timeline

  • 2026-03-10 - CVE-2026-23868 published to NVD
  • 2026-03-11 - Last updated in NVD database

Technical Details for CVE-2026-23868

Vulnerability Analysis

This vulnerability is classified as CWE-415 (Double Free), a memory corruption issue that occurs when a program attempts to free the same memory allocation more than once. In Giflib's implementation, the GifMakeSavedImage function performs a shallow copy of image data structures. When combined with the library's error handling logic, this creates a scenario where memory pointers can be freed multiple times during cleanup operations.

The vulnerability requires local access to exploit and involves high attack complexity, meaning specific conditions must be met for successful exploitation. The primary impact is on system availability, as double-free conditions typically result in heap corruption leading to application crashes. While exploitation is difficult, the vulnerability affects the integrity of memory management in any application processing malicious GIF files.

Root Cause

The root cause lies in the combination of two programming errors within Giflib's memory allocation code:

  1. Shallow Copy Implementation: The GifMakeSavedImage function creates shallow copies of image data structures, meaning the copied structure shares pointers to the same underlying memory as the original rather than allocating new memory.

  2. Incorrect Error Handling: When an error occurs during image processing, the cleanup routines attempt to free memory associated with both the original and copied structures. Since they share the same memory pointers due to the shallow copy, this results in the same memory being freed twice.

This pattern is a common source of double-free vulnerabilities in C code that manages complex data structures with nested allocations.

Attack Vector

The attack vector is local, requiring an attacker to provide a specially crafted GIF file that triggers the error condition during processing. The exploitation scenario involves:

  1. The attacker crafts a malicious GIF file designed to trigger an error in GifMakeSavedImage after a shallow copy has been created
  2. The victim application processes the malicious GIF using Giflib
  3. The error handling code attempts to clean up resources, freeing the same memory allocation twice
  4. The double-free corrupts the heap, causing the application to crash

While the conditions are difficult to achieve, any application that processes untrusted GIF images could potentially be affected. The vulnerability does not allow for code execution or data exfiltration based on current analysis, limiting the impact to denial of service.

Detection Methods for CVE-2026-23868

Indicators of Compromise

  • Unexpected application crashes when processing GIF image files
  • Heap corruption errors or segmentation faults in applications using Giflib
  • Core dumps or crash logs indicating double-free conditions in gifalloc.c

Detection Strategies

  • Monitor for application crashes correlated with GIF file processing operations
  • Deploy memory debugging tools such as AddressSanitizer (ASan) in development and testing environments to detect double-free conditions
  • Implement file type validation and sandboxing for GIF image processing workflows
  • Review application logs for memory allocation errors related to Giflib functions

Monitoring Recommendations

  • Enable heap protection mechanisms in production systems to detect and mitigate memory corruption
  • Configure crash reporting systems to alert on patterns consistent with double-free vulnerabilities
  • Audit systems for Giflib dependencies and track version information for vulnerability correlation
  • Implement runtime memory corruption detection where performance allows

How to Mitigate CVE-2026-23868

Immediate Actions Required

  • Update Giflib to the patched version that addresses the shallow copy and error handling issues
  • Review applications and dependencies that integrate Giflib for GIF processing
  • Consider disabling GIF processing functionality temporarily if patches cannot be immediately applied
  • Implement input validation to restrict GIF file processing from untrusted sources

Patch Information

The Giflib development team has committed a fix addressing this vulnerability. The patch modifies the gifalloc.c file to properly handle memory management in GifMakeSavedImage, preventing the double-free condition. Technical details of the fix are available in the SourceForge Code Diff.

Additional information is available in the Facebook Security Advisory.

Workarounds

  • Restrict processing of GIF files from untrusted or external sources until patches are applied
  • Run applications that process GIF images in sandboxed or isolated environments to contain potential crashes
  • Implement application-level crash recovery mechanisms to restore service after potential exploitation attempts
  • Use alternative image processing libraries for GIF handling if Giflib updates cannot be immediately deployed

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

  • Vulnerability Details
  • TypeUse After Free

  • Vendor/TechGiflib

  • SeverityMEDIUM

  • CVSS Score5.1

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-415
  • Technical References
  • SourceForge Code Diff

  • Facebook Security Advisory
  • Related CVEs
  • CVE-2026-26740: giflib Buffer Overflow DoS Vulnerability

  • CVE-2025-31344: giflib Buffer Overflow Vulnerability

  • CVE-2023-48161: GifLib Buffer Overflow Vulnerability

  • CVE-2022-28506: Giflib Buffer Overflow Vulnerability
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