Skip to main content
CVE Vulnerability Database

CVE-2025-7413: Library System 1.0 RCE Vulnerability

CVE-2025-7413 is a critical RCE flaw in Code-projects Library System 1.0 caused by unrestricted file upload in profile.php. Attackers can remotely execute malicious code. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-7413 Overview

CVE-2025-7413 is an unrestricted file upload vulnerability in code-projects Library System 1.0. The flaw resides in the /user/teacher/profile.php script, where the image parameter accepts user-supplied files without enforcing type or content restrictions. An authenticated remote attacker can manipulate the image argument to upload arbitrary files to the server. The exploit details have been disclosed publicly, increasing the likelihood of opportunistic abuse against exposed installations. The weakness is tracked under CWE-284 (Improper Access Control).

Critical Impact

Authenticated remote attackers can upload arbitrary files through the teacher profile image handler, potentially placing executable content within the web root.

Affected Products

  • code-projects Library System 1.0
  • Deployments exposing /user/teacher/profile.php
  • PHP-based instances of the Library System application

Discovery Timeline

  • 2025-07-10 - CVE-2025-7413 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-7413

Vulnerability Analysis

The vulnerability exists in the teacher profile management workflow of code-projects Library System 1.0. The profile.php endpoint under /user/teacher/ accepts an image parameter intended for profile photo updates. The application fails to validate the file extension, MIME type, or content signature before writing the uploaded data to disk. An attacker holding a low-privileged teacher account can substitute a PHP payload for the expected image file.

Once the malicious file is placed within a web-accessible directory, requesting its URL executes the embedded code under the privileges of the PHP runtime. The flaw maps to CWE-284 because authorization checks on the upload handler are insufficient relative to the actions it permits. Public disclosure of the exploit lowers the technical barrier for reuse against unpatched instances. The EPSS score is 0.311% at the 22.745 percentile based on data from 2026-06-30.

Root Cause

The root cause is missing server-side validation in the file upload routine. The application trusts the client-supplied filename and content without enforcing an allowlist of safe extensions, verifying magic bytes, or storing uploads outside the web root. This permits arbitrary content to be persisted with attacker-controlled filenames.

Attack Vector

Exploitation occurs over the network against the HTTP interface. The attacker authenticates with low-privilege credentials, navigates to the teacher profile page, and submits a crafted multipart request that supplies executable content in the image field. The uploaded payload becomes reachable through a direct URL request, enabling code execution within the application context.

No verified proof-of-concept code has been published in the references; readers can review the GitHub CVE Issue Discussion and VulDB #315873 for technical details.

Detection Methods for CVE-2025-7413

Indicators of Compromise

  • Unexpected .php, .phtml, or .phar files appearing under user upload directories associated with /user/teacher/profile.php.
  • Web server access logs showing POST requests to /user/teacher/profile.php followed by GET requests to newly created files in the uploads path.
  • Outbound network connections initiated by the PHP process to unfamiliar hosts after a profile update event.
  • New or modified files in the profile image storage directory with non-image MIME types or executable scripting content.

Detection Strategies

  • Inspect uploaded files for content that does not match an image signature using server-side file scanning.
  • Correlate authentication events for teacher accounts with subsequent file write activity in the web root.
  • Apply web application firewall rules that block multipart uploads containing PHP tags or shell function names targeting profile.php.

Monitoring Recommendations

  • Log all file upload requests with full request metadata including filename, content type, and authenticated user.
  • Monitor the file system path used for profile images for creation of files with script extensions.
  • Alert on web server execution of files located in directories intended only for static media.

How to Mitigate CVE-2025-7413

Immediate Actions Required

  • Restrict access to /user/teacher/profile.php at the network or reverse proxy layer until the application is patched.
  • Audit the profile image upload directory for unauthorized files and remove any non-image content.
  • Rotate credentials for teacher accounts that may have been used to stage payloads.
  • Disable PHP execution in directories that store user-uploaded media.

Patch Information

No vendor advisory or patch is listed in the references for code-projects Library System 1.0. Operators should monitor the Code Projects Resource and VulDB #315873 for updates, and consider replacing the affected component with a maintained alternative if a fix is not released.

Workarounds

  • Enforce an allowlist of image extensions (.jpg, .jpeg, .png, .gif) and validate magic bytes server-side before persisting uploads.
  • Store uploaded files outside the web root and serve them through a controlled handler that sets a static content type.
  • Rename uploaded files to randomly generated identifiers without preserving the original extension.
  • Configure the web server to refuse execution of script handlers within upload directories.
bash
# Apache configuration example to disable PHP execution in upload directory
<Directory "/var/www/library_system/user/teacher/uploads">
    php_flag engine off
    <FilesMatch "\.(php|phtml|phar|php5|php7)$">
        Require all denied
    </FilesMatch>
    AddType text/plain .php .phtml .phar
</Directory>

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.