CVE-2026-73850
Received Received - Intake

SQL Injection in Emlog CMS via ai.php

Publication date: 2026-08-14

Last updated on: 2026-08-14

Assigner: GitHub, Inc.

Description
Emlog is an open source website building system. In 2.6.20 and earlier, there is a SQL injection vulnerability in the queryDatabase function in ai.php.

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Meta Information

Published
2026-08-14
Last Modified
2026-08-14
Generated
2026-08-14
AI Q&A
2026-08-14
EPSS Evaluated
N/A
NVD
CVE-2026-73850
EUVD
EUVD-2026-58746

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
emlog emlog to 2.6.20 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

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Executive Summary

CVE-2026-73850 is a SQL injection vulnerability in the emlog platform affecting versions up to 2.6.20. It exists in the queryDatabase function within ai.php where user-supplied SQL queries are processed without proper validation. Authenticated admin users can exploit this to execute arbitrary SQL commands.

Detection Guidance

Check for suspicious POST requests to admin/ai.php with parameters like execute_tool containing SQL queries. Review logs for unusual database activity or unauthorized access patterns.

Impact Analysis

This vulnerability allows attackers to execute arbitrary SQL commands, potentially leading to complete database compromise, data theft, or system destruction. Attackers could access sensitive data, modify or delete records, or disrupt services entirely.

Compliance Impact

This vulnerability could lead to unauthorized access or exposure of sensitive data, violating GDPR's data protection requirements and HIPAA's safeguards for protected health information. Non-compliance risks include legal penalties, fines, and reputational damage.

Mitigation Strategies

Restrict access to admin/ai.php to trusted users only. Implement strict input validation for SQL queries. Block dangerous commands and limit queries to read-only operations. Monitor for unauthorized database access attempts.

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