CVE-2025-15585: Fileflows SQL Injection Vulnerability

CVE-2025-15585 Overview

FileFlows versions prior to 25.05.2 contain an authenticated SQL injection vulnerability in the library-file search function. This vulnerability allows authenticated attackers to inject malicious SQL queries when the system is configured to use MySQL as its underlying database. Successful exploitation could lead to privilege escalation or data exfiltration from the database.

Critical Impact
Authenticated attackers can exploit improper input sanitization in the library-file search functionality to execute arbitrary SQL commands, potentially escalating privileges or extracting sensitive data from the MySQL database.

Affected Products

FileFlows versions prior to 25.05.2
FileFlows installations using MySQL as the backend database

Discovery Timeline

2026-02-19 - CVE-2025-15585 published to NVD
2026-02-19 - Last updated in NVD database

Technical Details for CVE-2025-15585

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), a critical class of input validation flaws that allows attackers to manipulate database queries. The flaw exists within the library-file search function of FileFlows, where user-supplied input is not properly sanitized before being incorporated into SQL queries.

A key prerequisite for exploitation is that the FileFlows installation must be configured to use MySQL as its database backend. The vulnerability requires authenticated access, meaning an attacker must first obtain valid credentials to the FileFlows application before attempting exploitation. Once authenticated, the attacker can craft malicious search queries that inject SQL code into the backend database operations.

The potential impact includes unauthorized access to sensitive data stored in the database, modification of existing records, and in some cases, privilege escalation within the application. For detailed technical analysis of the exploitation mechanics, refer to the Project Black SQL Injection Analysis.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the library-file search function. When processing user search input, the application fails to properly sanitize or escape special characters that have meaning in SQL syntax. Instead of using prepared statements or parameterized queries, the user input appears to be directly concatenated into SQL query strings, creating a classic SQL injection vector.

Attack Vector

The attack is network-based, requiring the attacker to have authenticated access to a FileFlows instance that uses MySQL. The attacker would navigate to the library-file search functionality and submit specially crafted input containing SQL injection payloads. These payloads would be processed by the backend and executed against the MySQL database.

The vulnerability exploitation involves manipulating the search parameters to break out of the intended query context and inject additional SQL commands. This could include UNION-based injection to extract data from other tables, time-based blind injection for data exfiltration, or stacked queries to modify database contents.

Due to the authenticated nature of this vulnerability and the specific database configuration requirement (MySQL), the attack complexity is considered higher than typical unauthenticated SQL injection flaws. However, once the prerequisites are met, exploitation can result in significant compromise of data confidentiality and integrity.

Detection Methods for CVE-2025-15585

Indicators of Compromise

Unusual or malformed search queries in FileFlows application logs containing SQL syntax such as UNION, SELECT, --, or '
Database query logs showing unexpected queries against tables not typically accessed by the library-file search function
Authentication logs showing successful logins followed by abnormal search activity patterns
Database error messages in application logs indicating SQL syntax errors from malformed injection attempts

Detection Strategies

Implement Web Application Firewall (WAF) rules to detect common SQL injection patterns in HTTP request parameters
Enable detailed logging on the FileFlows application and MySQL database to capture all search queries
Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns
Monitor for anomalous database queries that deviate from normal application behavior

Monitoring Recommendations

Enable MySQL general query log or slow query log to capture potentially malicious queries
Set up alerts for database queries containing UNION statements or comment syntax (--, /*)
Monitor FileFlows application logs for repeated search requests from the same user in rapid succession
Implement user behavior analytics to detect unusual search patterns from authenticated accounts

How to Mitigate CVE-2025-15585

Immediate Actions Required

Upgrade FileFlows to version 25.05.2 or later immediately
Review database access logs for any signs of exploitation prior to patching
Audit user accounts and reset credentials for any accounts showing suspicious activity
Consider temporarily disabling the library-file search feature if immediate patching is not possible

Patch Information

The vulnerability has been addressed in FileFlows version 25.05.2. Administrators should upgrade to this version or later to remediate the SQL injection vulnerability. Release notes and version information are available in the FileFlows Version Documentation.

The patch implements proper input sanitization and parameterized queries for the library-file search function, preventing SQL injection attacks regardless of the database backend in use.

Workarounds

If using MySQL, consider temporarily switching to an alternative supported database backend until patching is complete
Implement network-level access controls to restrict access to the FileFlows application to trusted users and networks only
Deploy a Web Application Firewall (WAF) in front of the FileFlows application to filter SQL injection attempts
Restrict database user privileges used by FileFlows to minimum necessary permissions to limit the impact of potential exploitation

bash

# Example: Restrict MySQL user privileges (adjust database and user names as needed)
# This limits the impact of SQL injection by reducing what an attacker can access

# Connect to MySQL as root
mysql -u root -p

# Revoke excessive privileges from the FileFlows database user
REVOKE ALL PRIVILEGES ON *.* FROM 'fileflows_user'@'localhost';

# Grant only necessary privileges for normal operation
GRANT SELECT, INSERT, UPDATE, DELETE ON fileflows_db.* TO 'fileflows_user'@'localhost';

# Apply changes
FLUSH PRIVILEGES;