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CVE Vulnerability Database
Vulnerability Database/CVE-2019-25458

CVE-2019-25458: Web-ofisi Firma Rehberi SQLi Vulnerability

CVE-2019-25458 is an SQL injection flaw in Web-ofisi Firma Rehberi v1 that lets unauthenticated attackers manipulate database queries. This article covers the technical details, affected versions, and mitigation.

Published: February 27, 2026

CVE-2019-25458 Overview

Web Ofisi Firma Rehberi v1 contains a critical SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through GET parameters. Attackers can send requests with malicious payloads in the il, kat, or kelime parameters to extract sensitive database information or perform time-based blind SQL injection attacks.

Critical Impact

Unauthenticated attackers can exploit this SQL injection vulnerability to extract sensitive database contents, bypass authentication mechanisms, or potentially compromise the underlying database server through advanced SQL injection techniques.

Affected Products

  • Web Ofisi Firma Rehberi v1.0.0
  • web-ofisi firma_rehberi

Discovery Timeline

  • 2026-02-22 - CVE CVE-2019-25458 published to NVD
  • 2026-02-26 - Last updated in NVD database

Technical Details for CVE-2019-25458

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists due to improper neutralization of special elements used in SQL commands. The application fails to properly sanitize user-supplied input before incorporating it into database queries. When processing requests to the firm listing functionality, the application directly concatenates GET parameter values into SQL statements without adequate input validation or parameterized queries.

The vulnerable parameters (il, kat, and kelime) accept user input that is passed directly to the database layer, enabling attackers to inject arbitrary SQL syntax. This allows for various exploitation scenarios including union-based data extraction, time-based blind injection for data enumeration, and boolean-based inference attacks.

Root Cause

The root cause stems from insufficient input validation and the use of dynamic SQL query construction. The application concatenates user-controlled GET parameters directly into SQL query strings rather than using prepared statements or parameterized queries. This classic SQL injection pattern allows attackers to break out of the intended query context and execute arbitrary SQL commands against the backend database.

Attack Vector

This vulnerability is exploitable over the network without authentication. An attacker can craft malicious HTTP GET requests containing SQL injection payloads in the il, kat, or kelime parameters. The attack requires no user interaction and can be executed remotely against any publicly accessible instance of the vulnerable application.

The exploitation technique involves appending SQL metacharacters and commands to the vulnerable parameters. Time-based blind SQL injection can be used to extract data character by character when direct output is not available, while union-based injection may allow direct data extraction if the application reflects query results. For detailed technical information and proof-of-concept examples, see the Exploit-DB #47143 advisory.

Detection Methods for CVE-2019-25458

Indicators of Compromise

  • HTTP GET requests containing SQL syntax characters (single quotes, double dashes, UNION SELECT statements) in the il, kat, or kelime parameters
  • Database error messages appearing in web server logs or application responses
  • Unusual database query patterns including time delays consistent with SLEEP() or WAITFOR DELAY functions
  • Evidence of data exfiltration through DNS or HTTP channels from the database server

Detection Strategies

  • Implement web application firewall (WAF) rules to detect and block common SQL injection patterns in request parameters
  • Deploy intrusion detection signatures targeting SQL injection attempts against the /firmalar.html endpoint
  • Monitor application logs for database syntax errors that may indicate injection attempts
  • Use SentinelOne's behavioral AI to detect anomalous process activity spawned by the web application

Monitoring Recommendations

  • Enable detailed logging of all HTTP requests to web application endpoints, including full query string parameters
  • Configure database query logging to capture and alert on unusual or malformed SQL statements
  • Implement real-time alerting for failed database authentication attempts or privilege escalation queries
  • Monitor network traffic from web servers for unusual outbound connections that may indicate data exfiltration

How to Mitigate CVE-2019-25458

Immediate Actions Required

  • Restrict public access to the vulnerable application until a patch can be applied
  • Implement web application firewall rules to block SQL injection patterns in the il, kat, and kelime parameters
  • Review database accounts used by the application and ensure principle of least privilege
  • Audit database logs for evidence of prior exploitation and potential data compromise

Patch Information

No official vendor patch has been identified for this vulnerability. Organizations using Web Ofisi Firma Rehberi v1 should contact the vendor directly for remediation guidance or consider migrating to an alternative solution. For additional context, refer to the Web Ofisi Script Details page.

Workarounds

  • Deploy a web application firewall (WAF) configured to inspect and sanitize input parameters
  • Implement server-side input validation to reject requests containing SQL metacharacters
  • Restrict database user permissions to read-only access where possible to limit impact
  • Consider taking the application offline or restricting access to trusted networks until properly remediated
bash
# Example WAF rule to block SQL injection patterns in vulnerable parameters
# ModSecurity rule for Apache/Nginx
SecRule ARGS:il|ARGS:kat|ARGS:kelime "@rx (?i)(union|select|insert|update|delete|drop|--|;|'|\\x27)" \
    "id:100001,phase:2,deny,status:403,log,msg:'SQL Injection Attempt Blocked'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechWeb Ofisi

  • SeverityHIGH

  • CVSS Score8.8

  • EPSS Probability0.07%

  • 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 #47143

  • VulnCheck SQL Injection Advisory

  • Web Ofisi Script Details
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