CVE-2023-34600: add 'intval()' to parse ['id']

[PunisherHD92]

Adiscon LogAnalyzer v4.1.13 and before is vulnerable to SQL Injection.
https://nvd.nist.gov/vuln/detail/CVE-2023-34600

[gemini-code-assist]

Summary of Changes

Hello @PunisherHD92, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request delivers a crucial security update by patching a SQL Injection vulnerability (CVE-2023-34600) identified in Adiscon LogAnalyzer. The core change involves enhancing input validation for 'id' parameters passed via GET requests. By explicitly casting these parameters to integers using intval(), the system now robustly prevents non-numeric or malicious input from being processed in database queries, significantly improving the application's security posture against injection attacks.

Highlights

• Security Fix: Addressed CVE-2023-34600, a critical SQL Injection vulnerability in Adiscon LogAnalyzer v4.1.13 and earlier versions.
• Input Validation Hardening: Implemented explicit integer type casting using intval() for all $_GET['id'] parameters across various administrative and reporting scripts. This ensures that ID values are treated as integers, preventing malicious string input from being interpreted as SQL commands.
• Widespread Application: The intval() sanitization has been consistently applied to id parameters in files related to charts, fields, groups, parsers, reports, searches, sources, users, and views, as well as the report generator.

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[gemini-code-assist]

Code Review

This pull request addresses the SQL injection vulnerability CVE-2023-34600 by consistently applying intval() to sanitize user-provided IDs from $_GET parameters across multiple files. This is a correct and effective measure to ensure that only integer values are processed, thus preventing SQL injection attacks where these IDs are used in database queries. The changes are applied consistently across all identified vulnerable locations in the admin area and the report generator. The approach is sound and directly mitigates the reported security issue.