CVE-2022-40934: n/a in n/a
Online Pet Shop We App v1.0 is vulnerable to SQL injection via /pet_shop/classes/Master.php?f=delete_sub_category,id
AI Analysis
Technical Summary
CVE-2022-40934 is a high-severity SQL injection vulnerability affecting the Online Pet Shop Web Application version 1.0. The vulnerability exists in the 'delete_sub_category' function accessed via the URL parameter '/pet_shop/classes/Master.php?f=delete_sub_category,id'. An attacker can exploit this flaw by injecting malicious SQL code through the 'id' parameter, which is not properly sanitized or parameterized. This allows unauthorized manipulation of the backend database, potentially leading to unauthorized data access, data modification, or deletion. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), indicating a classic SQL injection issue. The CVSS v3.1 base score is 7.2, reflecting high severity due to the network attack vector (AV:N), low attack complexity (AC:L), but requiring high privileges (PR:H) and no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker with sufficient privileges can fully compromise the database. No patches or vendor information are currently available, and no known exploits have been reported in the wild. However, the vulnerability's presence in a web application that manages product categories suggests that attackers could disrupt business operations or exfiltrate sensitive customer or business data if exploited.
Potential Impact
For European organizations using the Online Pet Shop Web App v1.0 or similar vulnerable e-commerce platforms, this vulnerability poses significant risks. Exploitation could lead to unauthorized disclosure of customer data, including personal and payment information, violating GDPR and other data protection regulations, resulting in legal and financial penalties. The integrity of product and category data could be compromised, disrupting inventory management and sales processes, leading to operational downtime and reputational damage. Availability impacts could cause denial of service to legitimate users, affecting customer trust and revenue. Given the high privileges required, exploitation might be limited to insiders or attackers who have already gained some level of access, but the lack of user interaction requirement facilitates automated attacks once access is obtained. The absence of patches increases the window of exposure, emphasizing the need for immediate mitigation. European e-commerce businesses, especially SMEs relying on off-the-shelf or custom web applications without rigorous security controls, are particularly vulnerable.
Mitigation Recommendations
1. Immediate code review and remediation: Sanitize and validate all user inputs, especially the 'id' parameter in the 'delete_sub_category' function, using prepared statements or parameterized queries to prevent SQL injection. 2. Implement least privilege principles: Restrict database user permissions to only necessary operations to limit the impact of any injection attack. 3. Conduct thorough security testing: Use automated tools and manual penetration testing focused on injection flaws to identify and fix similar vulnerabilities. 4. Monitor logs and database activity for suspicious queries indicative of injection attempts. 5. If possible, isolate the vulnerable application behind a Web Application Firewall (WAF) configured to detect and block SQL injection patterns. 6. Develop and deploy patches promptly once available from the vendor or through internal fixes. 7. Educate developers on secure coding practices to prevent recurrence. 8. Regularly back up databases and verify restore procedures to mitigate data loss from potential attacks.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland
CVE-2022-40934: n/a in n/a
Description
Online Pet Shop We App v1.0 is vulnerable to SQL injection via /pet_shop/classes/Master.php?f=delete_sub_category,id
AI-Powered Analysis
Technical Analysis
CVE-2022-40934 is a high-severity SQL injection vulnerability affecting the Online Pet Shop Web Application version 1.0. The vulnerability exists in the 'delete_sub_category' function accessed via the URL parameter '/pet_shop/classes/Master.php?f=delete_sub_category,id'. An attacker can exploit this flaw by injecting malicious SQL code through the 'id' parameter, which is not properly sanitized or parameterized. This allows unauthorized manipulation of the backend database, potentially leading to unauthorized data access, data modification, or deletion. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), indicating a classic SQL injection issue. The CVSS v3.1 base score is 7.2, reflecting high severity due to the network attack vector (AV:N), low attack complexity (AC:L), but requiring high privileges (PR:H) and no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker with sufficient privileges can fully compromise the database. No patches or vendor information are currently available, and no known exploits have been reported in the wild. However, the vulnerability's presence in a web application that manages product categories suggests that attackers could disrupt business operations or exfiltrate sensitive customer or business data if exploited.
Potential Impact
For European organizations using the Online Pet Shop Web App v1.0 or similar vulnerable e-commerce platforms, this vulnerability poses significant risks. Exploitation could lead to unauthorized disclosure of customer data, including personal and payment information, violating GDPR and other data protection regulations, resulting in legal and financial penalties. The integrity of product and category data could be compromised, disrupting inventory management and sales processes, leading to operational downtime and reputational damage. Availability impacts could cause denial of service to legitimate users, affecting customer trust and revenue. Given the high privileges required, exploitation might be limited to insiders or attackers who have already gained some level of access, but the lack of user interaction requirement facilitates automated attacks once access is obtained. The absence of patches increases the window of exposure, emphasizing the need for immediate mitigation. European e-commerce businesses, especially SMEs relying on off-the-shelf or custom web applications without rigorous security controls, are particularly vulnerable.
Mitigation Recommendations
1. Immediate code review and remediation: Sanitize and validate all user inputs, especially the 'id' parameter in the 'delete_sub_category' function, using prepared statements or parameterized queries to prevent SQL injection. 2. Implement least privilege principles: Restrict database user permissions to only necessary operations to limit the impact of any injection attack. 3. Conduct thorough security testing: Use automated tools and manual penetration testing focused on injection flaws to identify and fix similar vulnerabilities. 4. Monitor logs and database activity for suspicious queries indicative of injection attempts. 5. If possible, isolate the vulnerable application behind a Web Application Firewall (WAF) configured to detect and block SQL injection patterns. 6. Develop and deploy patches promptly once available from the vendor or through internal fixes. 7. Educate developers on secure coding practices to prevent recurrence. 8. Regularly back up databases and verify restore procedures to mitigate data loss from potential attacks.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-09-19T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6835e152182aa0cae218e50a
Added to database: 5/27/2025, 3:59:14 PM
Last enriched: 7/6/2025, 3:25:40 AM
Last updated: 8/1/2025, 3:20:11 PM
Views: 9
Related Threats
CVE-2025-41242: Vulnerability in VMware Spring Framework
MediumCVE-2025-47206: CWE-787 in QNAP Systems Inc. File Station 5
HighCVE-2025-5296: CWE-59 Improper Link Resolution Before File Access ('Link Following') in Schneider Electric SESU
HighCVE-2025-6625: CWE-20 Improper Input Validation in Schneider Electric Modicon M340
HighCVE-2025-57703: CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Delta Electronics DIAEnergie
MediumActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.