CVE-2026-2093 Overview
CVE-2026-2093 is a SQL Injection vulnerability affecting Docpedia, a document management system developed by Flowring. This vulnerability allows unauthenticated remote attackers to inject arbitrary SQL commands, enabling them to read sensitive database contents without requiring any prior authentication or user interaction.
Critical Impact
Unauthenticated attackers can exploit this SQL injection flaw remotely over the network to extract sensitive data from the underlying database, potentially exposing confidential documents, user credentials, and other critical organizational information.
Affected Products
- Flowring Docpedia (specific versions not disclosed in advisory)
Discovery Timeline
- 2026-02-10 - CVE-2026-2093 published to NVD
- 2026-02-10 - Last updated in NVD database
Technical Details for CVE-2026-2093
Vulnerability Analysis
This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in Docpedia's handling of user-supplied input, where the application fails to properly sanitize or parameterize data before incorporating it into SQL queries.
The network-accessible nature of this vulnerability, combined with the absence of authentication requirements, significantly increases the risk of exploitation. Attackers can leverage this flaw to bypass application-level security controls and directly interact with the backend database server.
Root Cause
The root cause of this vulnerability is improper input validation and the lack of parameterized queries in Docpedia's codebase. When user-controlled input is concatenated directly into SQL statements without adequate sanitization, attackers can manipulate the query logic by injecting malicious SQL syntax. This allows them to alter the intended query behavior, enabling unauthorized data extraction from the database.
Attack Vector
The attack vector is network-based, requiring no authentication or user interaction. An attacker can send specially crafted HTTP requests containing malicious SQL payloads to vulnerable Docpedia endpoints. The injected SQL commands are then executed by the database server with the application's privileges.
Typical attack scenarios include:
- Union-based SQL Injection: Appending UNION SELECT statements to extract data from other database tables
- Boolean-based Blind SQL Injection: Inferring database contents through true/false conditions in application responses
- Time-based Blind SQL Injection: Using database time delay functions to extract data character by character
The vulnerability allows attackers to read database contents, which may include sensitive documents, user accounts, session tokens, and other confidential information stored within the Docpedia system.
Detection Methods for CVE-2026-2093
Indicators of Compromise
- Unusual SQL error messages appearing in application logs or HTTP responses
- Anomalous database queries containing SQL keywords like UNION, SELECT, OR 1=1, or comment syntax (--, /**/)
- Unexpected spikes in database query execution times indicating time-based injection attempts
- Evidence of bulk data extraction or unusual SELECT queries in database audit logs
Detection Strategies
- Deploy web application firewalls (WAF) with SQL injection detection rules to identify and block malicious payloads
- Enable detailed logging on Docpedia application servers and monitor for suspicious request patterns
- Implement database activity monitoring to detect unauthorized queries or data access patterns
- Configure intrusion detection systems (IDS) to alert on common SQL injection signatures in network traffic
Monitoring Recommendations
- Review Docpedia access logs regularly for requests containing SQL metacharacters and injection patterns
- Monitor database server logs for failed authentication attempts and syntax errors that may indicate injection probing
- Establish baseline metrics for normal database query volumes and alert on significant deviations
- Implement real-time alerting for detection of known SQL injection patterns in HTTP request parameters
How to Mitigate CVE-2026-2093
Immediate Actions Required
- Restrict network access to Docpedia instances by implementing firewall rules to limit exposure to trusted networks only
- Review and audit all web-accessible endpoints for SQL injection vulnerabilities
- Implement a web application firewall with SQL injection protection as a temporary mitigation layer
- Consider taking vulnerable Docpedia instances offline until patches are applied if they contain highly sensitive data
Patch Information
Organizations using Flowring Docpedia should consult the vendor and the TW-CERT security advisories for patch availability and remediation guidance:
Contact Flowring directly for official security updates and supported upgrade paths for Docpedia deployments.
Workarounds
- Implement network segmentation to isolate Docpedia servers from untrusted networks and limit potential attack surface
- Deploy a reverse proxy or WAF configured with SQL injection detection rules in front of Docpedia
- Disable or restrict access to vulnerable endpoints if they are not business-critical
- Implement strict input validation at the network perimeter to filter potentially malicious requests before they reach the application
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
