CVE-2019-25431: Blue-Smiley-Organizer SQLi Vulnerability

CVE-2019-25431 Overview

delpino73 Blue-Smiley-Organizer 1.32 contains an SQL injection vulnerability in the datetime parameter that allows unauthenticated attackers to manipulate database queries. Attackers can inject SQL code through POST requests to extract sensitive data using boolean-based blind and time-based blind techniques, or write files to the server using INTO OUTFILE statements.

Critical Impact

Unauthenticated attackers can extract sensitive database contents, bypass authentication, and potentially write arbitrary files to the server through SQL injection in the datetime parameter.

Affected Products

• delpino73 Blue-Smiley-Organizer version 1.32

Discovery Timeline

• 2026-02-20 - CVE CVE-2019-25431 published to NVD
• 2026-02-23 - Last updated in NVD database

Technical Details for CVE-2019-25431

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists in the datetime parameter of Blue-Smiley-Organizer version 1.32. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries, allowing attackers to inject malicious SQL statements. The vulnerability is accessible over the network without requiring authentication, making it particularly dangerous for exposed installations.

The exploitation techniques available include boolean-based blind injection, where attackers can infer database content through true/false responses, and time-based blind injection, where response timing differences reveal information. Additionally, the vulnerability allows file system operations through INTO OUTFILE statements, enabling attackers to write arbitrary files to accessible directories on the server.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries (prepared statements) in the application code. The datetime parameter is directly concatenated into SQL queries without proper sanitization or escaping, allowing attacker-controlled input to modify the query structure. This is a classic SQL injection pattern that could be prevented by using parameterized queries or properly escaping special characters.

Attack Vector

The attack is conducted over the network through HTTP POST requests targeting the vulnerable datetime parameter. An unauthenticated attacker can craft malicious payloads containing SQL injection syntax to manipulate database queries. The network-based attack vector with no authentication requirements significantly increases the exploitability of this vulnerability.

The exploitation does not require user interaction, and attackers can leverage automated tools like sqlmap to extract database contents systematically. The INTO OUTFILE capability extends the impact beyond data exfiltration to potential remote code execution if the attacker can write web shells to accessible directories.

Detection Methods for CVE-2019-25431

Indicators of Compromise

• Unusual SQL syntax patterns in HTTP POST request bodies, particularly in datetime parameters
• Database error messages in application logs indicating malformed SQL queries
• Evidence of time-based delays in application responses that correlate with SQL SLEEP() or BENCHMARK() functions
• Unexpected file creation in web-accessible directories with suspicious content
• Database audit logs showing unauthorized SELECT, UNION, or file operations

Detection Strategies

• Deploy web application firewall (WAF) rules to detect SQL injection patterns in POST parameters
• Monitor database query logs for suspicious patterns including UNION SELECT, INTO OUTFILE, and time-based payloads
• Implement application-level logging to capture and alert on malformed datetime parameter inputs
• Use intrusion detection systems (IDS) with SQL injection signature rules for HTTP traffic inspection

Monitoring Recommendations

• Enable verbose logging on the database server to capture all queries for forensic analysis
• Configure real-time alerts for database file write operations (INTO OUTFILE, INTO DUMPFILE)
• Monitor network traffic for patterns consistent with blind SQL injection enumeration
• Implement database activity monitoring to detect bulk data extraction attempts

How to Mitigate CVE-2019-25431

Immediate Actions Required

• If possible, restrict network access to the Blue-Smiley-Organizer application using firewall rules
• Deploy a web application firewall (WAF) with SQL injection protection rules in front of the application
• Audit database logs for evidence of prior exploitation attempts
• Consider taking the application offline if it handles sensitive data and cannot be adequately protected

Patch Information

No official vendor patch information is available in the vulnerability database. Organizations using Blue-Smiley-Organizer 1.32 should consult the GitHub repository for any available updates. Additional technical details about the vulnerability are available in the VulnCheck Advisory and Exploit-DB #47550.

Workarounds

• Implement input validation at the application layer to reject datetime values containing SQL metacharacters
• Use a reverse proxy or WAF to filter requests containing SQL injection patterns before they reach the application
• Restrict database user privileges to prevent file write operations (remove FILE privilege)
• Enable database query parameterization at the middleware or framework level if the application supports it
• Isolate the application in a network segment with limited access to reduce exposure