CVE-2025-51683 Overview
A blind SQL Injection (SQLi) vulnerability has been identified in mJobtime version 15.7.2, a time management software solution. This critical vulnerability allows unauthenticated attackers to execute arbitrary SQL statements via a crafted POST request to the /Default.aspx/update_profile_Server endpoint. The flaw stems from improper input validation (CWE-89), enabling malicious actors to manipulate database queries without requiring any authentication credentials.
Critical Impact
This vulnerability carries a CVSS score of 9.8 (Critical) with network-based attack vector requiring no user interaction or privileges. Successful exploitation could lead to complete database compromise, unauthorized data access, data manipulation, and potential full system takeover.
Affected Products
- mJobtime version 15.7.2
- mJobtime time management software
Discovery Timeline
- 2025-12-01 - CVE-2025-51683 published to NVD
- 2025-12-04 - Last updated in NVD database
Technical Details for CVE-2025-51683
Vulnerability Analysis
CVE-2025-51683 is classified as a blind SQL injection vulnerability with a CVSS v3.1 vector string of CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. The vulnerability resides in the /Default.aspx/update_profile_Server endpoint, which fails to properly sanitize user-supplied input before incorporating it into SQL queries.
The attack complexity is rated as Low, meaning exploitation does not require specialized conditions. Most critically, the vulnerability requires no privileges (PR:N) and no user interaction (UI:N), making it highly exploitable by remote attackers. The impact ratings are High across all three pillars of the CIA triad—Confidentiality, Integrity, and Availability—indicating that successful exploitation could result in complete compromise of the affected database.
The Exploit Prediction Scoring System (EPSS) rates this vulnerability with a probability of 0.152% and a percentile of 36.454 as of 2025-12-16, suggesting moderate likelihood of exploitation in the wild.
Root Cause
The root cause of this vulnerability is improper input validation (CWE-89: Improper Neutralization of Special Elements used in an SQL Command). The application fails to properly sanitize, validate, or parameterize user input before constructing SQL queries. When data is submitted to the update_profile_Server endpoint via POST request, the application directly concatenates user-controlled data into SQL statements without proper escaping or the use of parameterized queries.
Attack Vector
The attack vector is network-based (AV:N), allowing remote unauthenticated attackers to exploit this vulnerability. An attacker can craft malicious POST requests targeting the /Default.aspx/update_profile_Server endpoint, injecting SQL code through vulnerable parameters.
Since this is a blind SQL injection vulnerability, the application does not directly return query results to the attacker. Instead, attackers must infer information through boolean-based or time-based techniques—observing differences in application behavior or response times to extract data from the database incrementally.
The exploitation process typically involves:
- Identifying the vulnerable endpoint (/Default.aspx/update_profile_Server)
- Crafting POST requests with SQL injection payloads
- Using boolean conditions or time delays to extract data character by character
- Potentially escalating to full database dump or command execution depending on database configuration
For technical details and proof-of-concept information, refer to the security advisory at InfoGuard Labs: https://labs.infoguard.ch/advisories/cve-2025-51682_cve-2025-51683_time_management_softare_sqli-rce/
Detection Methods for CVE-2025-51683
Indicators of Compromise
- Unusual POST requests to /Default.aspx/update_profile_Server containing SQL keywords or special characters
- Abnormal database query patterns including time-based delays (e.g., WAITFOR DELAY, SLEEP() functions)
- Unexpected database errors or timeout responses from the application
- Multiple sequential requests from the same source with varying payloads attempting boolean-based injection
- Database query logs showing unusual UNION, SELECT, or comment sequences (--, /**/)
Detection Strategies
Organizations should implement multiple layers of detection to identify potential exploitation attempts:
Web Application Firewall (WAF) Rules: Configure WAF rules to detect and block common SQL injection patterns in POST requests, particularly targeting the vulnerable endpoint. Look for encoded SQL metacharacters, UNION-based injection attempts, and time-based blind injection payloads.
Log Analysis: Enable detailed logging for the mJobtime application and associated database. Monitor for failed queries, unusual query execution times, and error messages indicating SQL syntax issues that may signal injection attempts.
Database Activity Monitoring: Implement database activity monitoring to track queries executed against the backend database. Alert on queries containing suspicious patterns or those executed by the application service account that deviate from normal behavior.
Intrusion Detection Systems: Deploy network-based and host-based IDS rules specifically tuned to detect SQL injection attack signatures in HTTP traffic.
Monitoring Recommendations
Security teams should establish continuous monitoring with the following focus areas:
- Endpoint Monitoring: Track all traffic to /Default.aspx/update_profile_Server and analyze request payloads for injection attempts
- Database Performance: Monitor for unusual query response times that may indicate time-based blind SQL injection exploitation
- Application Logs: Review application logs for repeated authentication failures or unusual profile update activities
- Network Traffic Analysis: Implement deep packet inspection for HTTP POST traffic to the affected application
- SIEM Integration: Configure SIEM rules to correlate multiple SQL injection indicators from various sources for comprehensive threat detection
How to Mitigate CVE-2025-51683
Immediate Actions Required
- Restrict network access to the mJobtime application to trusted IP ranges only
- Implement Web Application Firewall (WAF) rules to filter SQL injection payloads targeting the /Default.aspx/update_profile_Server endpoint
- Enable detailed logging and monitoring for the affected endpoint and database
- Review database account permissions and apply principle of least privilege
- Consider temporarily disabling the vulnerable profile update functionality if business operations permit
Patch Information
As of the last modification date (2025-12-04), refer to the mJobtime vendor website at http://mjobtime.com for official patch information and security updates. Organizations should monitor the vendor's security advisories and apply patches as soon as they become available.
Additional technical details regarding this vulnerability and related issues (CVE-2025-51682) are documented in the InfoGuard Labs advisory at https://labs.infoguard.ch/advisories/cve-2025-51682_cve-2025-51683_time_management_softare_sqli-rce/
Workarounds
Until an official patch is available, organizations should implement the following compensating controls:
Network Segmentation: Isolate the mJobtime application server from direct internet access. Place it behind a reverse proxy with strong input validation capabilities.
Input Validation Layer: Deploy an application-level firewall or reverse proxy that performs strict input validation on all POST parameters before they reach the mJobtime application.
Database Hardening: Ensure the database user account used by mJobtime has minimal required privileges. Remove xp_cmdshell and similar dangerous stored procedures if using Microsoft SQL Server. Disable stacked queries if possible.
Virtual Patching: Implement virtual patches through WAF rules that specifically block requests to /Default.aspx/update_profile_Server containing SQL injection patterns such as:
- Single quotes and comment sequences
- UNION, SELECT, INSERT, UPDATE, DELETE keywords
- Time-delay functions (WAITFOR, SLEEP, BENCHMARK)
- Database-specific syntax patterns
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
