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CVE Vulnerability Database
Vulnerability Database/CVE-2019-25498

CVE-2019-25498: Simple Job Script SQLi Vulnerability

CVE-2019-25498 is an SQL injection flaw in Simple Job Script allowing unauthenticated attackers to manipulate database queries. This article covers the technical details, affected versions, impact, and mitigation.

Published: March 6, 2026

CVE-2019-25498 Overview

Simple Job Script contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the landing_location parameter. Attackers can send POST requests to the searched endpoint with malicious SQL payloads to bypass authentication and extract sensitive database information.

Critical Impact

Unauthenticated attackers can exploit this SQL injection flaw to extract sensitive database contents, bypass authentication mechanisms, and potentially compromise the entire database backend through the vulnerable landing_location parameter.

Affected Products

  • Simple Job Script (all versions)

Discovery Timeline

  • 2026-03-04 - CVE CVE-2019-25498 published to NVD
  • 2026-03-05 - Last updated in NVD database

Technical Details for CVE-2019-25498

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists in Simple Job Script due to improper neutralization of special elements used in SQL commands. The application fails to properly sanitize user-supplied input in the landing_location parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL code that the database server will execute, potentially leading to unauthorized data access, data manipulation, or complete database compromise.

The vulnerability is network-accessible and requires no authentication or user interaction to exploit, making it particularly dangerous for publicly accessible installations of Simple Job Script.

Root Cause

The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries or prepared statements when processing the landing_location parameter. The application directly concatenates user input into SQL query strings without proper sanitization or escaping, allowing attackers to break out of the intended query context and inject their own SQL commands.

Attack Vector

The attack is executed via network-based POST requests to the searched endpoint. An attacker crafts a malicious HTTP POST request containing SQL injection payloads in the landing_location parameter. When the vulnerable application processes this request, the injected SQL code is executed against the backend database.

The vulnerability mechanism involves sending specially crafted input through the landing_location parameter in POST requests to the searched endpoint. When the application fails to sanitize this input, malicious SQL statements are executed directly against the database. This can be used for authentication bypass, data exfiltration, or database manipulation. For technical details and proof-of-concept information, see the Exploit-DB #46612 entry.

Detection Methods for CVE-2019-25498

Indicators of Compromise

  • Unusual POST requests to the searched endpoint containing SQL syntax characters such as single quotes, semicolons, or SQL keywords like UNION, SELECT, or OR
  • Database error messages appearing in application logs or HTTP responses indicating malformed SQL queries
  • Unexpected database queries or access patterns in database audit logs
  • Evidence of data exfiltration or unauthorized database access

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST parameters
  • Enable database query logging and monitor for suspicious queries containing unexpected SQL syntax
  • Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns
  • Review web server access logs for abnormal POST requests to the searched endpoint

Monitoring Recommendations

  • Enable verbose logging on the web application and database servers to capture detailed request information
  • Set up alerts for database errors or exceptions that may indicate SQL injection attempts
  • Monitor for unusual database account activity or privilege escalation attempts
  • Implement real-time log analysis to detect patterns consistent with SQL injection attacks

How to Mitigate CVE-2019-25498

Immediate Actions Required

  • Take the Simple Job Script application offline or restrict access until patched
  • Implement input validation to filter or reject requests containing SQL injection patterns
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules
  • Review database logs for evidence of prior exploitation and assess potential data compromise

Patch Information

Check with the Simple Job Script vendor for available security patches or updated versions that address this SQL injection vulnerability. For additional technical details, refer to the VulnCheck SQL Injection Advisory.

Workarounds

  • Implement parameterized queries or prepared statements for all database interactions involving user input
  • Apply strict input validation and sanitization on the landing_location parameter and all other user-controlled inputs
  • Use a Web Application Firewall (WAF) to filter and block malicious SQL injection payloads
  • Restrict database user privileges to the minimum required for application functionality
bash
# Example WAF rule to block common SQL injection patterns
# ModSecurity rule example
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attack Detected'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechN/A

  • SeverityHIGH

  • CVSS Score8.8

  • EPSS Probability0.18%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • Exploit-DB #46612

  • VulnCheck SQL Injection Advisory
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