Overview
In the ever-evolving world of cybersecurity, new vulnerabilities are constantly being discovered and exploited. One such vulnerability, identified as CVE-2025-1708, has been found to pose a significant threat to the security of PostgreSQL databases. As a form of SQL injection, this vulnerability allows attackers to dump and read the content of the database, potentially leading to system compromise and data leakage.
This vulnerability affects any applications that interact with PostgreSQL databases and have not implemented proper input sanitization or utilized parameterized queries. The severity of this issue is amplified by the fact that databases often contain sensitive and valuable data, making them attractive targets for cybercriminals.
Vulnerability Summary
CVE ID: CVE-2025-1708
Severity: High – CVSS 8.6
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise, data leakage
Affected Products
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Product | Affected Versions
PostgreSQL | All versions prior to patch
How the Exploit Works
An attacker can exploit this vulnerability by injecting malicious SQL code into an application’s query, which interacts with a PostgreSQL database. The application, assuming the input to be safe, executes the query, unintentionally running the attacker’s code. This allows the attacker to manipulate the SQL query to dump the database and read its content, providing them access to potentially sensitive data.
Conceptual Example Code
Given the nature of SQL Injection vulnerabilities, an attacker might exploit this vulnerability with a malicious SQL statement embedded within user input. For example:
POST /search HTTP/1.1
Host: vulnerable-app.com
Content-Type: application/x-www-form-urlencoded
search=normalSearchTerm'; DROP TABLE users; --In this example, the attacker has appended a harmful SQL statement (`DROP TABLE users;`) to a regular search term. If the application does not properly sanitize the input, it would execute the dangerous SQL command, leading to the users table being dropped from the database.