CVE-2019-25698: Marmotech Kados SQL Injection Vulnerability

CVE-2019-25698 Overview

Kados R10 GreenBee contains an SQL injection vulnerability that allows attackers to manipulate database queries by injecting SQL code through the id_to_delete parameter. Attackers can send crafted requests with malicious SQL statements in the id_to_delete field to extract or modify sensitive database information. This vulnerability exposes organizations using the Kados application to significant risk of data breach and unauthorized database manipulation.

Critical Impact
Network-accessible SQL injection allowing attackers to extract sensitive database information or modify data without authentication, potentially compromising the entire database backend.

Affected Products

Marmotech Kados R10 GreenBee
cpe:2.3:a:marmotech:kados:r10_greenbee:*:*:*:*:*:*:*

Discovery Timeline

2026-04-05 - CVE CVE-2019-25698 published to NVD
2026-04-07 - Last updated in NVD database

Technical Details for CVE-2019-25698

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw (CWE-89) in the Marmotech Kados R10 GreenBee application. The vulnerability exists within the handling of the id_to_delete parameter, which fails to properly sanitize user-supplied input before incorporating it into SQL queries. When an attacker submits specially crafted input containing SQL metacharacters and malicious SQL statements through this parameter, the application directly concatenates the input into database queries without proper validation or parameterization.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring any form of authentication or user interaction. This makes the vulnerability particularly dangerous in internet-facing deployments where attackers can send malicious requests directly to the vulnerable endpoint.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input directly in SQL query construction. The id_to_delete parameter accepts user input that is then directly interpolated into SQL statements without proper escaping, parameterization, or validation. This violates secure coding practices that mandate the use of prepared statements or parameterized queries to prevent SQL injection attacks.

Attack Vector

The attack vector for CVE-2019-25698 is network-based, requiring no privileges or user interaction for exploitation. An attacker can craft HTTP requests containing malicious SQL payloads in the id_to_delete parameter. The vulnerable application processes these requests and executes the injected SQL code in the context of the database connection, allowing attackers to:

Extract sensitive data from the database using UNION-based or blind SQL injection techniques
Modify or delete existing database records
Potentially escalate privileges within the database system
In some configurations, read or write files on the database server

The vulnerability allows high confidentiality impact as attackers can exfiltrate sensitive information, with limited integrity impact allowing data modification. For detailed technical exploitation information, see the Exploit-DB entry #46505.

Detection Methods for CVE-2019-25698

Indicators of Compromise

HTTP requests containing SQL metacharacters (single quotes, semicolons, comment sequences) in the id_to_delete parameter
Unusual database query patterns or errors in application logs indicating SQL syntax errors
Unexpected database access patterns or data exfiltration activity
Web server logs showing requests with encoded SQL keywords targeting the vulnerable endpoint

Detection Strategies

Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters
Implement database activity monitoring to detect anomalous query patterns or unauthorized data access
Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns
Monitor application error logs for SQL syntax errors that may indicate exploitation attempts

Monitoring Recommendations

Enable detailed logging for all HTTP requests to endpoints handling the id_to_delete parameter
Implement database audit logging to track all SQL queries and identify injection attempts
Set up alerts for unusual database query patterns or access to sensitive tables
Monitor for outbound data transfers that may indicate successful data exfiltration

How to Mitigate CVE-2019-25698

Immediate Actions Required

Restrict network access to the Kados R10 GreenBee application to trusted IP addresses only
Deploy web application firewall (WAF) rules to filter SQL injection patterns in the id_to_delete parameter
Review database permissions and apply principle of least privilege to limit potential impact
Audit database logs for evidence of prior exploitation attempts

Patch Information

Review the SourceForge Project Kados and Kados Official Website for updated versions that address this vulnerability. Consult the VulnCheck Advisory for additional remediation guidance.

Workarounds

Implement input validation at the application level to reject requests containing SQL metacharacters in the id_to_delete parameter
Deploy a reverse proxy or WAF with SQL injection detection rules in front of the vulnerable application
If source code access is available, modify the application to use parameterized queries or prepared statements
Consider temporary isolation of the affected system until a permanent fix can be applied

bash

# Example WAF rule configuration (ModSecurity)
# Block requests with SQL injection patterns in id_to_delete parameter
SecRule ARGS:id_to_delete "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in id_to_delete parameter',\
    log,\
    auditlog"