Overview
The CVE-2025-32327 vulnerability exposes a serious SQL injection flaw in multiple functions of PickerDbFacade.java. This vulnerability can lead to unauthorized data access and potential system compromise or data leakage. It is particularly concerning as user interaction is not required for its exploitation, thereby increasing its potential impact scope.
Vulnerability Summary
CVE ID: CVE-2025-32327
Severity: High (CVSS 7.8)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Unauthorized data access leading to potential system compromise or data leakage
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Product | Affected Versions
PickerDbFacade.java | All versions before the patch
How the Exploit Works
The flaw resides in multiple functions of PickerDbFacade.java, which do not properly sanitize or escape user-controlled input before using it in SQL queries. This oversight allows an attacker to inject malicious SQL commands, which the database executes. This SQL injection can lead to unauthorized data access, manipulation, or deletion, and in some cases, even system compromise.
Conceptual Example Code
Below is a conceptual example of how this vulnerability might be exploited. The attacker injects a malicious SQL statement in the form of a string that can manipulate the database to reveal sensitive information.
POST /PickerDbFacade/query HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "query": "SELECT * FROM users; --" }
In this conceptual example, the attacker requests all data from the ‘users’ table, potentially gaining unauthorized access to sensitive user data.
Mitigation
Users are strongly recommended to apply the vendor-provided patch as soon as possible. If the patch cannot be immediately applied, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as temporary mitigation by detecting and blocking SQL injection attempts.
It is also crucial to adopt safe coding practices to prevent the introduction of such vulnerabilities. This includes proper input validation, use of parameterized queries or prepared statements, and regularly updating and patching all software components.

