CVE-2025-14637: SQL Injection in itsourcecode Online Pet Shop Management System
A weakness has been identified in itsourcecode Online Pet Shop Management System 1.0. This vulnerability affects unknown code of the file /pet1/addcnp.php. This manipulation of the argument cnpname causes sql injection. The attack can be initiated remotely. The exploit has been made available to the public and could be exploited.
AI Analysis
Technical Summary
CVE-2025-14637 identifies a SQL injection vulnerability in the itsourcecode Online Pet Shop Management System version 1.0, specifically in the /pet1/addcnp.php script. The vulnerability arises from insufficient input validation and sanitization of the 'cnpname' parameter, which is directly used in SQL queries. This allows an unauthenticated remote attacker to inject arbitrary SQL code, potentially manipulating the backend database. The attack vector is network accessible (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and has low complexity (AC:L). The impact on confidentiality, integrity, and availability is limited but non-negligible (VC:L, VI:L, VA:L), indicating partial data disclosure, modification, or disruption is possible. The vulnerability does not affect system components beyond the database layer (SC:N) and does not propagate beyond the vulnerable system (SI:N). The exploit code has been publicly disclosed, increasing the risk of exploitation despite no known active attacks in the wild. This vulnerability is typical of web applications lacking proper parameterized queries or prepared statements, making it critical for developers to adopt secure coding practices. The affected product is niche software used primarily in pet shop management, which may limit the scope but still poses a risk to organizations relying on it for business operations.
Potential Impact
For European organizations using the itsourcecode Online Pet Shop Management System 1.0, this vulnerability could lead to unauthorized access to sensitive customer data, including personal and payment information, stored in the backend database. Attackers could manipulate or delete records, causing data integrity issues and operational disruptions. Such breaches could result in regulatory non-compliance under GDPR, leading to legal penalties and reputational damage. The remote, unauthenticated nature of the exploit increases the risk of widespread attacks, especially if exploit code is leveraged by automated scanning tools or botnets. Small and medium enterprises in the pet retail sector, which may lack robust cybersecurity defenses, are particularly vulnerable. Additionally, service availability could be impacted if attackers execute denial-of-service conditions via crafted SQL queries. Overall, the vulnerability poses a moderate risk to confidentiality, integrity, and availability, with potential cascading effects on customer trust and business continuity.
Mitigation Recommendations
1. Immediate code remediation to sanitize and validate the 'cnpname' input parameter using strict whitelisting and escaping techniques. 2. Refactor database queries to use parameterized queries or prepared statements to prevent SQL injection. 3. Deploy a Web Application Firewall (WAF) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 4. Conduct comprehensive security testing, including static and dynamic analysis, to identify similar injection flaws in the application. 5. Implement logging and monitoring to detect anomalous database queries or repeated failed attempts indicative of exploitation. 6. Educate developers on secure coding standards and the importance of input validation. 7. If possible, isolate the vulnerable system from the internet or restrict access to trusted IP addresses until patches are applied. 8. Regularly update and patch the software once the vendor releases an official fix. 9. Perform a thorough audit of database contents post-incident to identify and remediate any unauthorized changes.
Affected Countries
Germany, France, Italy, United Kingdom, Spain, Netherlands
CVE-2025-14637: SQL Injection in itsourcecode Online Pet Shop Management System
Description
A weakness has been identified in itsourcecode Online Pet Shop Management System 1.0. This vulnerability affects unknown code of the file /pet1/addcnp.php. This manipulation of the argument cnpname causes sql injection. The attack can be initiated remotely. The exploit has been made available to the public and could be exploited.
AI-Powered Analysis
Technical Analysis
CVE-2025-14637 identifies a SQL injection vulnerability in the itsourcecode Online Pet Shop Management System version 1.0, specifically in the /pet1/addcnp.php script. The vulnerability arises from insufficient input validation and sanitization of the 'cnpname' parameter, which is directly used in SQL queries. This allows an unauthenticated remote attacker to inject arbitrary SQL code, potentially manipulating the backend database. The attack vector is network accessible (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and has low complexity (AC:L). The impact on confidentiality, integrity, and availability is limited but non-negligible (VC:L, VI:L, VA:L), indicating partial data disclosure, modification, or disruption is possible. The vulnerability does not affect system components beyond the database layer (SC:N) and does not propagate beyond the vulnerable system (SI:N). The exploit code has been publicly disclosed, increasing the risk of exploitation despite no known active attacks in the wild. This vulnerability is typical of web applications lacking proper parameterized queries or prepared statements, making it critical for developers to adopt secure coding practices. The affected product is niche software used primarily in pet shop management, which may limit the scope but still poses a risk to organizations relying on it for business operations.
Potential Impact
For European organizations using the itsourcecode Online Pet Shop Management System 1.0, this vulnerability could lead to unauthorized access to sensitive customer data, including personal and payment information, stored in the backend database. Attackers could manipulate or delete records, causing data integrity issues and operational disruptions. Such breaches could result in regulatory non-compliance under GDPR, leading to legal penalties and reputational damage. The remote, unauthenticated nature of the exploit increases the risk of widespread attacks, especially if exploit code is leveraged by automated scanning tools or botnets. Small and medium enterprises in the pet retail sector, which may lack robust cybersecurity defenses, are particularly vulnerable. Additionally, service availability could be impacted if attackers execute denial-of-service conditions via crafted SQL queries. Overall, the vulnerability poses a moderate risk to confidentiality, integrity, and availability, with potential cascading effects on customer trust and business continuity.
Mitigation Recommendations
1. Immediate code remediation to sanitize and validate the 'cnpname' input parameter using strict whitelisting and escaping techniques. 2. Refactor database queries to use parameterized queries or prepared statements to prevent SQL injection. 3. Deploy a Web Application Firewall (WAF) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 4. Conduct comprehensive security testing, including static and dynamic analysis, to identify similar injection flaws in the application. 5. Implement logging and monitoring to detect anomalous database queries or repeated failed attempts indicative of exploitation. 6. Educate developers on secure coding standards and the importance of input validation. 7. If possible, isolate the vulnerable system from the internet or restrict access to trusted IP addresses until patches are applied. 8. Regularly update and patch the software once the vendor releases an official fix. 9. Perform a thorough audit of database contents post-incident to identify and remediate any unauthorized changes.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-12-13T01:57:11.141Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 693dc1f196904561db587985
Added to database: 12/13/2025, 7:43:45 PM
Last enriched: 12/13/2025, 7:58:36 PM
Last updated: 12/13/2025, 9:54:30 PM
Views: 8
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