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CVE Vulnerability Database
Vulnerability Database/CVE-2026-24797

CVE-2026-24797: Cupoch Buffer Overflow Vulnerability

CVE-2026-24797 is a buffer overflow vulnerability in the cupoch library's libjpeg-turbo module affecting the tjbench.C file. This post covers the technical details, affected versions, security impact, and mitigation.

Published: January 30, 2026

CVE-2026-24797 Overview

CVE-2026-24797 is an Out-of-bounds Write vulnerability affecting the neka-nat cupoch library, specifically within the third_party/libjpeg-turbo/libjpeg-turbo modules. The vulnerability is associated with program files tjbench.C and can be exploited via network access without requiring authentication or user interaction. This memory corruption issue could allow attackers to write data beyond allocated memory boundaries, potentially leading to data corruption, application crashes, or in certain scenarios, arbitrary code execution.

Critical Impact

Out-of-bounds write vulnerabilities in image processing libraries can be exploited through maliciously crafted image files, potentially compromising application integrity and availability.

Affected Products

  • neka-nat cupoch (third_party/libjpeg-turbo modules)
  • Applications dependent on affected cupoch versions
  • Systems utilizing the vulnerable tjbench.C component

Discovery Timeline

  • 2026-01-27 - CVE CVE-2026-24797 published to NVD
  • 2026-01-27 - Last updated in NVD database

Technical Details for CVE-2026-24797

Vulnerability Analysis

This vulnerability falls under CWE-787 (Out-of-bounds Write), a memory corruption weakness that occurs when a program writes data past the end or before the beginning of an intended buffer. In the context of the cupoch library, the vulnerability exists within the libjpeg-turbo third-party component, specifically in the tjbench.C file which is used for benchmarking JPEG compression and decompression operations.

The out-of-bounds write condition can be triggered when processing image data, where improper boundary checking allows memory writes to extend beyond allocated buffer limits. This type of vulnerability in image processing libraries is particularly concerning as it can be triggered by processing untrusted image files from various sources.

Root Cause

The root cause stems from insufficient bounds validation in the tjbench.C benchmark utility within the libjpeg-turbo component bundled with cupoch. When processing JPEG image data, the code fails to properly validate that write operations remain within allocated memory boundaries, allowing data to be written to adjacent memory regions.

Attack Vector

The vulnerability is exploitable over the network without requiring any privileges or user interaction. An attacker could craft a malicious JPEG file designed to trigger the out-of-bounds write condition when processed by an application using the vulnerable cupoch library. This could be achieved by:

  1. Hosting malicious JPEG files on web servers that target applications download and process
  2. Sending specially crafted image data through API endpoints that process images
  3. Embedding malicious images in documents or data streams consumed by vulnerable applications

The attack does not require authentication, making it accessible to unauthenticated remote attackers. However, the impact is limited to integrity and availability with low severity, as the vulnerability does not directly enable confidentiality breaches.

Detection Methods for CVE-2026-24797

Indicators of Compromise

  • Unexpected application crashes or segmentation faults when processing JPEG images
  • Memory corruption errors in applications utilizing cupoch library
  • Abnormal memory allocation patterns in processes handling image data
  • Application instability following processing of externally-sourced image files

Detection Strategies

  • Monitor application logs for memory access violations or buffer overflow indicators
  • Implement file integrity monitoring on systems using cupoch to detect unexpected binary modifications
  • Deploy memory safety tools (AddressSanitizer, Valgrind) in development and testing environments
  • Analyze incoming image files for anomalous structures before processing

Monitoring Recommendations

  • Enable detailed logging for applications utilizing the cupoch library
  • Implement application performance monitoring to detect abnormal behavior patterns
  • Configure crash dump collection for applications processing image data
  • Establish baseline memory usage patterns to identify deviations

How to Mitigate CVE-2026-24797

Immediate Actions Required

  • Review the GitHub Pull Request #138 for patch information
  • Audit applications using cupoch to identify vulnerable deployments
  • Implement input validation on all image files before processing with cupoch
  • Consider sandboxing applications that process untrusted image data

Patch Information

A fix has been proposed via GitHub Pull Request #138 in the cupoch repository. Organizations using cupoch should review this pull request and apply the patch once it is merged into the main branch. Monitor the neka-nat cupoch repository for official releases that include this security fix.

Workarounds

  • Restrict processing of JPEG images from untrusted sources until the patch is applied
  • Implement strict input validation and file type verification before image processing
  • Run cupoch-dependent applications in isolated environments with limited permissions
  • Consider using alternative image processing libraries for critical applications until a fix is available
bash
# Configuration example - Validate image files before processing
# Verify JPEG integrity before passing to cupoch
file input.jpg | grep -q "JPEG image data" || exit 1

# Run cupoch applications with reduced privileges
sudo -u cupoch_user /path/to/cupoch_app --input validated_image.jpg

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechCupoch

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:L/SC:N/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:Y/R:A/V:X/RE:M/U:Amber
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-787
  • Technical References
  • GitHub Pull Request
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