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Vulnerability Database/CVE-2019-25298

CVE-2019-25298: html5_snmp SQL Injection Vulnerability

CVE-2019-25298 is a SQL injection vulnerability in html5_snmp 1.11 affecting Router_ID and Router_IP parameters. Attackers can exploit error-based, time-based, and union-based techniques to extract database data.

Published:

CVE-2019-25298 Overview

CVE-2019-25298 is a SQL Injection vulnerability affecting html5_snmp version 1.11. The vulnerability allows attackers to manipulate database queries through unsanitized Router_ID and Router_IP parameters. Multiple SQL injection techniques can be leveraged including error-based, time-based, and union-based injection, enabling attackers to potentially extract sensitive data or modify database contents.

Critical Impact

Attackers can exploit this SQL Injection vulnerability to read, modify, or delete database contents through crafted payloads targeting the Router_ID and Router_IP parameters without proper authentication.

Affected Products

  • html5_snmp version 1.11

Discovery Timeline

  • 2026-02-06 - CVE CVE-2019-25298 published to NVD
  • 2026-02-06 - Last updated in NVD database

Technical Details for CVE-2019-25298

Vulnerability Analysis

The vulnerability in html5_snmp 1.11 stems from improper handling of user-supplied input in the Router_ID and Router_IP parameters. When these parameters are processed by the application, they are directly concatenated into SQL queries without proper sanitization or parameterized query implementation. This allows an attacker to inject malicious SQL code that the database engine will execute.

The vulnerability supports multiple exploitation techniques:

  • Error-based injection: Attackers can craft payloads that trigger database errors, revealing information about the database structure in error messages
  • Time-based blind injection: By using SQL functions like SLEEP() or WAITFOR, attackers can infer database information based on response timing
  • Union-based injection: Attackers can append UNION SELECT statements to extract data from other database tables

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Root Cause

The root cause of this vulnerability is insufficient input validation and the use of dynamic SQL query construction. The application fails to sanitize or validate user input before incorporating it into database queries. Rather than using parameterized queries or prepared statements, which separate SQL code from user data, the application directly concatenates user-controlled values into SQL statements, creating the injection point.

Attack Vector

This vulnerability is exploitable over the network, requiring low-privilege authenticated access. An attacker can target the vulnerable Router_ID and Router_IP parameters by sending specially crafted HTTP requests containing SQL injection payloads. The attack does not require user interaction, allowing automated exploitation.

The attacker sends malicious input through the affected parameters, such as appending SQL metacharacters and commands. When the application processes this input and executes the resulting query, the injected SQL code runs with the same privileges as the database connection used by the application. For detailed technical analysis and proof-of-concept information, see the VulnCheck SQL Injection Advisory and Exploit-DB #47588.

Detection Methods for CVE-2019-25298

Indicators of Compromise

  • Unusual SQL error messages in application logs or HTTP responses
  • Requests containing SQL metacharacters (', ", ;, --, UNION, SELECT) in Router_ID or Router_IP parameters
  • Abnormal database query patterns or execution times indicating time-based injection attempts
  • Unexpected data exfiltration or database modifications

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in incoming requests
  • Monitor application logs for SQL syntax errors or database exception messages
  • Implement anomaly detection for database queries, flagging unusual query structures or execution patterns
  • Use intrusion detection systems (IDS) with SQL injection signature rules targeting the affected parameters

Monitoring Recommendations

  • Enable detailed logging for all database queries executed by the html5_snmp application
  • Configure alerts for multiple failed database queries or SQL syntax errors from the same source IP
  • Monitor for unusual data access patterns that may indicate successful data exfiltration
  • Implement real-time log correlation to identify SQL injection attack sequences

How to Mitigate CVE-2019-25298

Immediate Actions Required

  • Restrict network access to systems running vulnerable html5_snmp 1.11 instances
  • Implement Web Application Firewall (WAF) rules to filter SQL injection payloads targeting Router_ID and Router_IP parameters
  • Review database user privileges and apply principle of least privilege to limit potential damage from successful exploitation
  • Consider disabling or isolating affected functionality until a patch is available

Patch Information

No vendor patch information is currently available in the CVE data. Organizations using html5_snmp 1.11 should monitor the GitHub repository for updates and consider implementing the workarounds below until an official fix is released.

Workarounds

  • Implement input validation to reject special characters and SQL metacharacters in Router_ID and Router_IP parameters
  • Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
  • Use database stored procedures with parameterized inputs to isolate direct query execution
  • Apply network segmentation to limit access to the vulnerable application from untrusted networks
bash
# Example WAF rule configuration for ModSecurity
SecRule ARGS:Router_ID|ARGS:Router_IP "@rx (?i:union.*select|select.*from|insert.*into|delete.*from|drop.*table|'|\"|;|--)" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection attempt blocked on Router parameters'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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