CVE-2019-25699
SQL Injection in Newsbull 1.0.0 Allows Data Extraction
Publication date: 2026-04-12
Last updated on: 2026-04-17
Assigner: VulnCheck
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| gurkanuzunca | newsbull | 1.0.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2019-25699 affects Newsbull Haber Script version 1.0.0 and involves multiple SQL injection vulnerabilities in the 'search' parameter of various admin endpoints.
These vulnerabilities allow authenticated attackers to inject malicious SQL code using techniques such as time-based, blind, and boolean-based SQL injection.
The injection points include endpoints like /admin/comment/records, /admin/category/records, /admin/news/records, and /admin/menu/childs, enabling attackers to manipulate database queries.
By exploiting these vulnerabilities, attackers can extract sensitive database information or alter query results.
How can this vulnerability impact me? :
This vulnerability can allow authenticated attackers to extract sensitive information from the database by manipulating SQL queries.
Attackers can use time delays, error-based responses, or boolean logic to infer or retrieve data without direct output.
Such unauthorized data access can lead to exposure of confidential information, potentially compromising the integrity of the system.
Since the vulnerability affects administrative endpoints, it can impact critical functions like comment management, category management, news, and menu data.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the 'search' parameter in the admin endpoints such as /admin/comment/records, /admin/category/records, /admin/news/records, and /admin/menu/childs for SQL injection using time-based, blind, and boolean-based techniques.
- Time-Based SQL Injection test: Inject a payload like -1' or 1=((SELECT 1 FROM (SELECT SLEEP(25))A))+' into the search parameter and observe if the response is delayed by approximately 25 seconds.
- Blind SQL Injection test: Use a payload such as -1' and 6=3 or 1=1+(SELECT 1 and ROW(1,1)>(SELECT COUNT(*),CONCAT(CHAR(95),CHAR(33),CHAR(64),CHAR(52),CHAR(100),CHAR(105),CHAR(108),CHAR(101),CHAR(109),CHAR(109),CHAR(97),0x3a,FLOOR(RAND(0)*2))x FROM INFORMATION_SCHEMA.COLLATIONS GROUP BY x)a)+ to trigger conditional responses or errors.
- Boolean-Based SQL Injection test: Inject a payload like ' OR 1=1 OR 'cw'='cw into the search parameter to check if the query logic is altered to always return true.
These tests require authentication to access the vulnerable endpoints.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include restricting access to the affected admin endpoints to trusted users only and ensuring that only authenticated users with the least privileges can access these endpoints.
Implement input validation and parameterized queries or prepared statements in the application code to prevent SQL injection through the 'search' parameter.
Monitor logs for suspicious activity related to the 'search' parameter in the admin endpoints.
If possible, update or patch the Newsbull Haber Script to a version that addresses these vulnerabilities or apply custom fixes to sanitize inputs.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows authenticated attackers to perform SQL injection attacks that can extract sensitive database information by manipulating database queries.
Such unauthorized access to sensitive data can lead to violations of data protection regulations and standards like GDPR and HIPAA, which require the protection of personal and sensitive information from unauthorized access or disclosure.
Therefore, exploitation of this vulnerability could compromise compliance with these regulations by exposing sensitive data and failing to maintain adequate security controls.