CVE-2025-7184: SQL Injection in code-projects Library System
A vulnerability was found in code-projects Library System 1.0. It has been classified as critical. This affects an unknown part of the file /user/teacher/books.php. The manipulation of the argument Search leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-7184 is a SQL Injection vulnerability identified in version 1.0 of the code-projects Library System, specifically within the /user/teacher/books.php file. The vulnerability arises from improper sanitization or validation of the 'Search' parameter, which allows an attacker to inject malicious SQL code remotely without requiring authentication or user interaction. This flaw enables an attacker to manipulate backend database queries, potentially leading to unauthorized data access, data modification, or even complete compromise of the database. The CVSS 4.0 base score is 6.9, categorized as medium severity, reflecting the network attack vector with low complexity and no privileges or user interaction needed. The impact on confidentiality, integrity, and availability is rated low individually, but collectively it can lead to significant data exposure or corruption. Although no public exploits are currently known in the wild, the vulnerability has been publicly disclosed, increasing the risk of exploitation. The absence of patches or mitigation details in the provided information suggests that affected organizations must proactively implement defensive measures. Given the nature of the Library System, which likely stores sensitive educational data, the exploitation of this vulnerability could compromise personal information of students and staff, disrupt library services, and damage institutional reputation.
Potential Impact
For European organizations, particularly educational institutions using the code-projects Library System 1.0, this vulnerability poses a risk of unauthorized access to sensitive data such as student records, academic materials, and user credentials. Exploitation could lead to data breaches violating GDPR regulations, resulting in legal penalties and loss of trust. Additionally, attackers could alter or delete critical library data, impacting the availability and integrity of educational resources. The remote and unauthenticated nature of the attack vector increases the likelihood of exploitation, especially in environments with exposed web interfaces. Disruption of library services could affect academic operations and research activities. Furthermore, if the compromised system is integrated with other institutional IT infrastructure, the attack could serve as a pivot point for broader network compromise. The medium severity rating indicates a significant but not catastrophic risk, emphasizing the need for timely mitigation to prevent escalation.
Mitigation Recommendations
1. Immediate code review and sanitization: Developers should audit the /user/teacher/books.php file and implement strict input validation and parameterized queries or prepared statements to prevent SQL injection. 2. Web Application Firewall (WAF): Deploy or update WAF rules to detect and block SQL injection attempts targeting the 'Search' parameter. 3. Network segmentation: Isolate the Library System from critical internal networks to limit lateral movement if compromised. 4. Monitoring and logging: Enable detailed logging of web requests and database queries to detect suspicious activities related to SQL injection attempts. 5. Access controls: Restrict access to the Library System’s web interface to trusted IP ranges or VPN users where feasible. 6. Incident response readiness: Prepare for potential exploitation by establishing procedures for rapid containment and forensic analysis. 7. Vendor engagement: Contact code-projects for official patches or updates and apply them promptly once available. 8. Regular vulnerability scanning: Incorporate automated scanning tools to detect similar injection vulnerabilities in the environment. These steps go beyond generic advice by focusing on immediate code fixes, network-level defenses, and operational readiness tailored to the specific vulnerability context.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Sweden
CVE-2025-7184: SQL Injection in code-projects Library System
Description
A vulnerability was found in code-projects Library System 1.0. It has been classified as critical. This affects an unknown part of the file /user/teacher/books.php. The manipulation of the argument Search leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-7184 is a SQL Injection vulnerability identified in version 1.0 of the code-projects Library System, specifically within the /user/teacher/books.php file. The vulnerability arises from improper sanitization or validation of the 'Search' parameter, which allows an attacker to inject malicious SQL code remotely without requiring authentication or user interaction. This flaw enables an attacker to manipulate backend database queries, potentially leading to unauthorized data access, data modification, or even complete compromise of the database. The CVSS 4.0 base score is 6.9, categorized as medium severity, reflecting the network attack vector with low complexity and no privileges or user interaction needed. The impact on confidentiality, integrity, and availability is rated low individually, but collectively it can lead to significant data exposure or corruption. Although no public exploits are currently known in the wild, the vulnerability has been publicly disclosed, increasing the risk of exploitation. The absence of patches or mitigation details in the provided information suggests that affected organizations must proactively implement defensive measures. Given the nature of the Library System, which likely stores sensitive educational data, the exploitation of this vulnerability could compromise personal information of students and staff, disrupt library services, and damage institutional reputation.
Potential Impact
For European organizations, particularly educational institutions using the code-projects Library System 1.0, this vulnerability poses a risk of unauthorized access to sensitive data such as student records, academic materials, and user credentials. Exploitation could lead to data breaches violating GDPR regulations, resulting in legal penalties and loss of trust. Additionally, attackers could alter or delete critical library data, impacting the availability and integrity of educational resources. The remote and unauthenticated nature of the attack vector increases the likelihood of exploitation, especially in environments with exposed web interfaces. Disruption of library services could affect academic operations and research activities. Furthermore, if the compromised system is integrated with other institutional IT infrastructure, the attack could serve as a pivot point for broader network compromise. The medium severity rating indicates a significant but not catastrophic risk, emphasizing the need for timely mitigation to prevent escalation.
Mitigation Recommendations
1. Immediate code review and sanitization: Developers should audit the /user/teacher/books.php file and implement strict input validation and parameterized queries or prepared statements to prevent SQL injection. 2. Web Application Firewall (WAF): Deploy or update WAF rules to detect and block SQL injection attempts targeting the 'Search' parameter. 3. Network segmentation: Isolate the Library System from critical internal networks to limit lateral movement if compromised. 4. Monitoring and logging: Enable detailed logging of web requests and database queries to detect suspicious activities related to SQL injection attempts. 5. Access controls: Restrict access to the Library System’s web interface to trusted IP ranges or VPN users where feasible. 6. Incident response readiness: Prepare for potential exploitation by establishing procedures for rapid containment and forensic analysis. 7. Vendor engagement: Contact code-projects for official patches or updates and apply them promptly once available. 8. Regular vulnerability scanning: Incorporate automated scanning tools to detect similar injection vulnerabilities in the environment. These steps go beyond generic advice by focusing on immediate code fixes, network-level defenses, and operational readiness tailored to the specific vulnerability context.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-07T08:12:04.316Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 686d3bb16f40f0eb72f81bb0
Added to database: 7/8/2025, 3:39:29 PM
Last enriched: 7/8/2025, 3:54:48 PM
Last updated: 8/20/2025, 3:47:33 PM
Views: 42
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