Skip to main content

CVE-2024-57459: n/a in n/a

High
VulnerabilityCVE-2024-57459cvecve-2024-57459
Published: Mon Jun 02 2025 (06/02/2025, 00:00:00 UTC)
Source: CVE Database V5
Vendor/Project: n/a
Product: n/a

Description

A time-based SQL injection vulnerability exists in mydetailsstudent.php in the CloudClassroom PHP Project 1.0. The myds parameter does not properly validate user input, allowing an attacker to inject arbitrary SQL commands.

AI-Powered Analysis

AILast updated: 07/03/2025, 16:43:09 UTC

Technical Analysis

CVE-2024-57459 is a high-severity time-based SQL injection vulnerability identified in the CloudClassroom PHP Project version 1.0, specifically within the mydetailsstudent.php script. The vulnerability arises due to improper validation of the 'myds' parameter, which allows an attacker to inject arbitrary SQL commands into the backend database. Time-based SQL injection is a subtype of blind SQL injection where the attacker exploits the database's response time to infer information, even when direct output is not available. This vulnerability enables an unauthenticated remote attacker to execute arbitrary SQL queries, potentially leading to unauthorized data access, modification, or deletion. The CVSS v3.1 base score of 7.3 reflects the vulnerability's high impact, with network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction needed (UI:N), and impacts on confidentiality, integrity, and availability (C:L/I:L/A:L). Although no known exploits are currently reported in the wild and no patches have been published, the vulnerability poses a significant risk due to its ease of exploitation and potential for data compromise. The CWE-89 classification confirms it as a classic SQL injection flaw, emphasizing the need for proper input sanitization and parameterized queries in the affected codebase.

Potential Impact

For European organizations, especially educational institutions or entities using the CloudClassroom PHP Project or similar e-learning platforms, this vulnerability could lead to severe data breaches involving sensitive student information. The unauthorized disclosure (confidentiality impact) could expose personal data protected under GDPR, resulting in legal and financial penalties. Integrity impact could allow attackers to alter grades or records, undermining trust and operational reliability. Availability impact could disrupt access to educational services, affecting learning continuity. Given the vulnerability requires no authentication or user interaction, attackers can remotely exploit it at scale, increasing the risk of widespread compromise. The lack of patches further exacerbates the threat, making timely mitigation critical. Organizations handling large volumes of student data or integrated with other administrative systems are particularly vulnerable to cascading effects.

Mitigation Recommendations

Organizations should immediately audit their use of the CloudClassroom PHP Project and identify any instances of the vulnerable mydetailsstudent.php script. As no official patches are available, developers should implement immediate mitigations by applying parameterized queries or prepared statements to handle the 'myds' parameter safely, eliminating direct concatenation of user input into SQL commands. Input validation and sanitization should be enforced rigorously at both client and server sides. Web application firewalls (WAFs) can be configured to detect and block typical SQL injection payloads targeting this parameter. Additionally, monitoring database query logs for unusual time delays or anomalous queries can help detect exploitation attempts. Organizations should also review access controls and ensure minimal database privileges for the application to limit potential damage. Finally, preparing an incident response plan specific to SQL injection attacks will improve readiness in case exploitation occurs.

Need more detailed analysis?Get Pro

Technical Details

Data Version
5.1
Assigner Short Name
mitre
Date Reserved
2025-01-09T00:00:00.000Z
Cvss Version
null
State
PUBLISHED

Threat ID: 683dcda1182aa0cae24b8631

Added to database: 6/2/2025, 4:13:21 PM

Last enriched: 7/3/2025, 4:43:09 PM

Last updated: 8/13/2025, 11:54:11 PM

Views: 32

Actions

PRO

Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats