CVE-2019-25699: Newsbull Haber Script SQLi Vulnerability

CVE-2019-25699 Overview

CVE-2019-25699 is a SQL Injection vulnerability affecting Newsbull Haber Script 1.0.0. The application contains multiple SQL injection vulnerabilities in the search parameter that allow authenticated attackers to extract database information through time-based, blind, and boolean-based injection techniques. Attackers can inject malicious SQL code through the search parameter in endpoints like /admin/comment/records, /admin/category/records, /admin/news/records, and /admin/menu/childs to manipulate database queries and retrieve sensitive data.

Critical Impact

Authenticated attackers can extract sensitive database information, potentially compromising all data stored within the application including user credentials, content, and configuration settings.

Affected Products

• Newsbull Haber Script version 1.0.0

Discovery Timeline

• 2026-04-12 - CVE CVE-2019-25699 published to NVD
• 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2019-25699

Vulnerability Analysis

This vulnerability is classified under CWE-89 (SQL Injection), a critical web application security flaw where user-supplied input is incorporated into SQL queries without proper sanitization or parameterization. The Newsbull Haber Script fails to properly validate and escape the search parameter across multiple administrative endpoints before incorporating it into database queries.

The vulnerability affects several administrative endpoints within the application's backend, including comment management, category management, news records, and menu child operations. Since these endpoints are part of the administrative interface, the attack requires authentication, limiting the initial attack surface to users with valid credentials. However, once authenticated, an attacker can fully exploit the vulnerability to extract arbitrary database contents.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the Newsbull Haber Script application. The search parameter is directly concatenated into SQL queries without sanitization, allowing attackers to break out of the intended query structure and inject arbitrary SQL commands. This is a classic example of failing to implement secure coding practices for database interactions.

Attack Vector

The attack is conducted over the network and requires the attacker to have authenticated access to the administrative panel of the Newsbull Haber Script. The attacker then sends crafted HTTP requests to vulnerable endpoints with malicious SQL payloads in the search parameter. The vulnerability supports multiple injection techniques:

• Time-based blind injection: Attackers use SQL commands that cause deliberate delays (e.g., SLEEP() or WAITFOR DELAY) to infer database contents based on response times.
• Boolean-based blind injection: Attackers craft queries that return different results based on true/false conditions, allowing data extraction one bit at a time.
• Standard injection: Direct extraction of data through UNION-based queries or error-based techniques.

The vulnerability is documented in Exploit-DB #46266 which provides detailed information about the exploitation methodology. Additional technical details are available in the VulnCheck Advisory for NewsBull.

Detection Methods for CVE-2019-25699

Indicators of Compromise

• Unusual database query patterns or errors in application logs, particularly involving the search functionality
• Slow response times on administrative endpoints that may indicate time-based SQL injection attempts
• Anomalous HTTP requests to /admin/comment/records, /admin/category/records, /admin/news/records, or /admin/menu/childs containing SQL syntax characters
• Database audit logs showing unauthorized data access or extraction queries

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the search parameter
• Monitor HTTP request logs for common SQL injection payloads including UNION, SELECT, SLEEP, WAITFOR, and comment sequences (--, /**/)
• Deploy database activity monitoring to detect unusual query patterns or data exfiltration attempts
• Use SentinelOne's behavioral detection to identify anomalous application behavior indicative of SQL injection exploitation

Monitoring Recommendations

• Enable detailed logging on the Newsbull Haber Script administrative endpoints
• Configure alerts for multiple failed or suspicious search requests from the same authenticated user
• Monitor database query execution times for anomalies that may indicate time-based injection attacks
• Implement network traffic analysis to detect data exfiltration patterns

How to Mitigate CVE-2019-25699

Immediate Actions Required

• Restrict access to the Newsbull Haber Script administrative interface to trusted IP addresses only
• Implement a Web Application Firewall (WAF) with SQL injection detection rules
• Audit administrative user accounts and remove any unnecessary access
• Review database logs for signs of prior exploitation

Patch Information

No official vendor patch has been identified for this vulnerability. The GitHub Repository for NewsBull should be monitored for any security updates. Organizations using this software should consider implementing manual code fixes to add proper input validation and parameterized queries, or migrate to a more actively maintained content management solution.

Workarounds

• Implement input validation at the application level to sanitize the search parameter before use in database queries
• Use parameterized queries or prepared statements for all database interactions
• Deploy a WAF with strict SQL injection prevention rules targeting the affected endpoints
• Limit administrative access using network-level controls such as VPN requirements or IP whitelisting
• Consider placing the administrative interface behind additional authentication layers

# Example WAF rule for ModSecurity to block SQL injection in search parameter
SecRule ARGS:search "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in search parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}'"