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CVE Vulnerability Database
Vulnerability Database/CVE-2024-0479

CVE-2024-0479: Jifeer Taokeyun SQLi Vulnerability

CVE-2024-0479 is a critical SQL injection vulnerability in Jifeer Taokeyun up to version 1.0.5 affecting the login function. Attackers can exploit the username parameter remotely to inject malicious SQL code. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published: March 31, 2026

CVE-2024-0479 Overview

A critical SQL injection vulnerability has been discovered in Taokeyun, a web application developed by Jifeer. The vulnerability exists in the login function within the file application/index/controller/m/User.php, which is part of the HTTP POST Request Handler component. Attackers can exploit this flaw by manipulating the username argument to inject malicious SQL commands, potentially gaining unauthorized access to the database and underlying system.

Critical Impact

This SQL injection vulnerability allows unauthenticated remote attackers to execute arbitrary SQL queries, potentially leading to complete database compromise, data exfiltration, data manipulation, and in some cases, remote code execution on the underlying server.

Affected Products

  • Jifeer Taokeyun versions up to and including 1.0.5

Discovery Timeline

  • 2024-01-13 - CVE-2024-0479 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-0479

Vulnerability Analysis

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw resides in the login functionality of Taokeyun where user-supplied input through the username parameter is not properly sanitized before being incorporated into SQL queries.

The affected component is the HTTP POST Request Handler, specifically the login function located at application/index/controller/m/User.php. When users submit login credentials, the application constructs database queries using the username parameter directly without adequate input validation or parameterized queries.

The exploit has been publicly disclosed, making this vulnerability particularly dangerous as threat actors have access to exploitation techniques. Remote attackers can leverage this flaw without any authentication or user interaction, making it an attractive target for automated attack tools and opportunistic exploitation.

Root Cause

The root cause of this vulnerability is improper input validation in the login function. The application fails to sanitize or parameterize the username argument before including it in SQL statements. This allows special SQL characters and commands submitted through the POST request to be interpreted as part of the database query rather than as literal string data.

PHP applications using raw SQL queries without prepared statements or proper escaping functions are particularly susceptible to this type of vulnerability. The absence of input sanitization on the username field allows attackers to break out of the intended query context and inject their own SQL commands.

Attack Vector

The attack is executed remotely via the network by sending a specially crafted HTTP POST request to the login endpoint. An attacker constructs a malicious username value containing SQL injection payloads that alter the intended query logic.

Typical attack scenarios include:

  • Authentication bypass - Injecting SQL logic to return true for authentication checks regardless of the actual password
  • Data extraction - Using UNION-based or error-based injection techniques to retrieve sensitive data from the database
  • Data modification - Executing INSERT, UPDATE, or DELETE statements to manipulate database records
  • Privilege escalation - Extracting administrator credentials or modifying user privilege levels

For detailed technical information about this vulnerability, refer to the Zhao Jin Note Sharing disclosure or the VulDB entry #250584.

Detection Methods for CVE-2024-0479

Indicators of Compromise

  • HTTP POST requests to login endpoints containing SQL metacharacters (single quotes, double dashes, semicolons, UNION keywords) in the username field
  • Unusual database error messages appearing in application logs or HTTP responses
  • Abnormal database query patterns or execution times in database logs
  • Evidence of data exfiltration or unauthorized database access in audit logs

Detection Strategies

  • Deploy Web Application Firewalls (WAF) with SQL injection detection rulesets to inspect incoming POST requests to login endpoints
  • Implement database activity monitoring to detect anomalous query patterns, especially queries containing UNION statements or excessive error conditions
  • Configure intrusion detection systems (IDS) to alert on HTTP requests containing common SQL injection payloads targeting authentication endpoints
  • Enable verbose logging on the Taokeyun application to capture and review all login attempts and associated parameters

Monitoring Recommendations

  • Monitor authentication logs for repeated failed login attempts with unusual username patterns
  • Set up alerts for database queries originating from the web application that contain suspicious SQL syntax
  • Review web server access logs for POST requests to application/index/controller/m/User.php with encoded or obfuscated parameters
  • Implement real-time log correlation to identify potential SQL injection attack campaigns across multiple endpoints

How to Mitigate CVE-2024-0479

Immediate Actions Required

  • Upgrade Taokeyun to a patched version if one is available from the vendor
  • Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the vulnerable application
  • Consider temporarily disabling the affected login endpoint if alternative authentication methods exist
  • Conduct a thorough audit of database logs to identify any potential exploitation attempts

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using Taokeyun versions up to 1.0.5 should contact Jifeer directly for remediation guidance or consider implementing the workarounds listed below until an official patch is released.

For additional technical details and vulnerability tracking, consult VulDB #250584.

Workarounds

  • Deploy a Web Application Firewall (WAF) configured to block SQL injection patterns in POST request parameters
  • Implement server-side input validation that rejects username inputs containing SQL metacharacters
  • Use a reverse proxy or load balancer with request filtering capabilities to sanitize incoming requests before they reach the application
  • Apply network segmentation to limit database access from the web application server and restrict the blast radius of potential exploitation
bash
# Example WAF rule for ModSecurity to block SQL injection in login requests
SecRule REQUEST_URI "@contains /controller/m/User.php" \
    "id:100001,phase:2,deny,status:403,\
    chain"
SecRule ARGS:username "@detectSQLi" \
    "t:none,t:urlDecodeUni,t:htmlEntityDecode,\
    msg:'SQL Injection Attempt Detected in Username Parameter',\
    severity:'CRITICAL'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechJifeer Taokeyun

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.05%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • Zhao Jin Note Sharing

  • VulDB #250584 (Ctiid)

  • VulDB #250584
  • Related CVEs
  • CVE-2024-0482: Jifeer Taokeyun SQLi Vulnerability
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