CVE-2025-0742
📋 TL;DR
An Improper Access Control vulnerability in EmbedAI 2.1 and earlier allows authenticated attackers to access other users' files by manipulating the FILE_ID parameter in the /embedai/files/show/ endpoint. This affects all EmbedAI deployments running vulnerable versions, potentially exposing sensitive user data.
💻 Affected Systems
- EmbedAI
📦 What is this software?
Embedai by Thesamur
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of all user files stored in the system, leading to data breaches, privacy violations, and potential regulatory penalties.
Likely Case
Targeted access to specific files belonging to other users, resulting in unauthorized data exposure and potential intellectual property theft.
If Mitigated
Limited impact with proper access controls, logging, and monitoring in place to detect and prevent unauthorized file access attempts.
🎯 Exploit Status
Exploitation requires authenticated access but is trivial once authenticated - attackers simply need to modify the FILE_ID parameter.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: EmbedAI 2.2 or later
Vendor Advisory: https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-embedai
Restart Required: Yes
Instructions:
1. Backup your EmbedAI installation and data. 2. Download EmbedAI 2.2 or later from the official source. 3. Replace the existing installation with the patched version. 4. Restart the EmbedAI service. 5. Verify the fix is working by testing file access controls.
🔧 Temporary Workarounds
Web Application Firewall Rule
allImplement WAF rules to block suspicious FILE_ID parameter manipulation attempts.
# Example ModSecurity rule: SecRule ARGS:FILE_ID "@rx \D" "id:1001,phase:2,deny,msg:'Suspicious FILE_ID parameter'"
Access Control Middleware
allAdd custom middleware to validate user ownership before serving files.
# Python Flask example: @app.route('/embedai/files/show/<file_id>') def show_file(file_id): if not current_user.owns_file(file_id): abort(403)
🧯 If You Can't Patch
- Implement strict network segmentation to isolate EmbedAI from sensitive data stores.
- Enable detailed logging and monitoring of all file access attempts with alerts for suspicious patterns.
🔍 How to Verify
Check if Vulnerable:
As an authenticated user, attempt to access /embedai/files/show/<other_users_file_id> - if successful, the system is vulnerable.Check Version:
Check EmbedAI version in admin panel or configuration files, or run: grep -i version /path/to/embedai/config/*Verify Fix Applied:
After patching, repeat the vulnerability test - access to other users' files should return 403 Forbidden or similar error.📡 Detection & Monitoring
Log Indicators:
- Multiple failed file access attempts with different FILE_ID values
- Successful file access from user accounts to files not owned by them
- Unusual patterns of file access outside normal user behavior
Network Indicators:
- HTTP 200 responses to /embedai/files/show/ endpoints with unusual FILE_ID patterns
- Rapid sequential requests to different FILE_ID values from same source
SIEM Query:
source="embedai_logs" AND (uri_path="/embedai/files/show/*" AND status=200) | stats count by src_ip, user_id, file_id | where count > threshold