CVE-2022-41407: n/a in n/a
Online Pet Shop We App v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /admin/?page=orders/view_order.
AI Analysis
Technical Summary
CVE-2022-41407 is a high-severity SQL injection vulnerability identified in the Online Pet Shop Web Application version 1.0. The vulnerability exists in the 'id' parameter of the endpoint /admin/?page=orders/view_order. SQL injection (CWE-89) vulnerabilities allow attackers to manipulate backend SQL queries by injecting malicious input, potentially leading to unauthorized data access, data modification, or even full system compromise. This vulnerability requires high privileges (PR:H) to exploit, meaning an attacker must have some level of authenticated access to the admin interface. The vulnerability has a CVSS 3.1 base score of 7.2, indicating a high impact on confidentiality, integrity, and availability without requiring user interaction. Exploitation could allow an authenticated attacker to extract sensitive order information, modify order data, or disrupt order processing, severely impacting business operations. Although no public exploits are currently known, the presence of this vulnerability in an administrative interface makes it a critical concern for organizations using this application or similar custom e-commerce solutions. The lack of vendor or product details limits the ability to identify affected environments precisely, but the vulnerability's nature and location suggest it targets web applications managing order data with insufficient input sanitization or parameterized queries.
Potential Impact
For European organizations operating e-commerce platforms or online retail services, this vulnerability poses a significant risk. Exploitation could lead to unauthorized disclosure of customer order information, including personally identifiable information (PII) and payment details, violating GDPR requirements and resulting in legal and financial penalties. Integrity compromise could allow attackers to alter order statuses or inject fraudulent orders, disrupting supply chains and customer trust. Availability impacts could result from denial-of-service conditions caused by malformed SQL queries, affecting business continuity. Given the administrative access requirement, insider threats or compromised admin accounts could be leveraged to exploit this vulnerability. The reputational damage and operational disruption could be substantial, especially for SMEs and larger retailers relying on similar web applications. Additionally, the lack of patches or vendor guidance increases the risk window for European organizations until mitigations are applied.
Mitigation Recommendations
1. Immediate review and restriction of administrative access to the affected web application, ensuring only trusted personnel have access. 2. Implement strict input validation and sanitization on all parameters, particularly the 'id' parameter in the orders view functionality, using parameterized queries or prepared statements to prevent SQL injection. 3. Conduct a thorough code audit of the web application to identify and remediate other potential injection points. 4. Deploy Web Application Firewalls (WAFs) with rules specifically designed to detect and block SQL injection attempts targeting the admin interface. 5. Monitor application logs for suspicious activity related to order viewing or modification endpoints. 6. If possible, isolate the administrative interface from public networks, restricting access via VPN or internal networks only. 7. Develop and test incident response plans to quickly address any exploitation attempts. 8. Engage with the software vendor or development team to request patches or updates addressing this vulnerability. 9. Educate administrative users on secure credential management to prevent account compromise that could lead to exploitation.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Sweden
CVE-2022-41407: n/a in n/a
Description
Online Pet Shop We App v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /admin/?page=orders/view_order.
AI-Powered Analysis
Technical Analysis
CVE-2022-41407 is a high-severity SQL injection vulnerability identified in the Online Pet Shop Web Application version 1.0. The vulnerability exists in the 'id' parameter of the endpoint /admin/?page=orders/view_order. SQL injection (CWE-89) vulnerabilities allow attackers to manipulate backend SQL queries by injecting malicious input, potentially leading to unauthorized data access, data modification, or even full system compromise. This vulnerability requires high privileges (PR:H) to exploit, meaning an attacker must have some level of authenticated access to the admin interface. The vulnerability has a CVSS 3.1 base score of 7.2, indicating a high impact on confidentiality, integrity, and availability without requiring user interaction. Exploitation could allow an authenticated attacker to extract sensitive order information, modify order data, or disrupt order processing, severely impacting business operations. Although no public exploits are currently known, the presence of this vulnerability in an administrative interface makes it a critical concern for organizations using this application or similar custom e-commerce solutions. The lack of vendor or product details limits the ability to identify affected environments precisely, but the vulnerability's nature and location suggest it targets web applications managing order data with insufficient input sanitization or parameterized queries.
Potential Impact
For European organizations operating e-commerce platforms or online retail services, this vulnerability poses a significant risk. Exploitation could lead to unauthorized disclosure of customer order information, including personally identifiable information (PII) and payment details, violating GDPR requirements and resulting in legal and financial penalties. Integrity compromise could allow attackers to alter order statuses or inject fraudulent orders, disrupting supply chains and customer trust. Availability impacts could result from denial-of-service conditions caused by malformed SQL queries, affecting business continuity. Given the administrative access requirement, insider threats or compromised admin accounts could be leveraged to exploit this vulnerability. The reputational damage and operational disruption could be substantial, especially for SMEs and larger retailers relying on similar web applications. Additionally, the lack of patches or vendor guidance increases the risk window for European organizations until mitigations are applied.
Mitigation Recommendations
1. Immediate review and restriction of administrative access to the affected web application, ensuring only trusted personnel have access. 2. Implement strict input validation and sanitization on all parameters, particularly the 'id' parameter in the orders view functionality, using parameterized queries or prepared statements to prevent SQL injection. 3. Conduct a thorough code audit of the web application to identify and remediate other potential injection points. 4. Deploy Web Application Firewalls (WAFs) with rules specifically designed to detect and block SQL injection attempts targeting the admin interface. 5. Monitor application logs for suspicious activity related to order viewing or modification endpoints. 6. If possible, isolate the administrative interface from public networks, restricting access via VPN or internal networks only. 7. Develop and test incident response plans to quickly address any exploitation attempts. 8. Engage with the software vendor or development team to request patches or updates addressing this vulnerability. 9. Educate administrative users on secure credential management to prevent account compromise that could lead to exploitation.
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
- 2022-09-26T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0f81484d88663aeb46a
Added to database: 5/20/2025, 6:59:04 PM
Last enriched: 7/6/2025, 7:10:30 AM
Last updated: 8/15/2025, 9:34:37 AM
Views: 9
Related Threats
CVE-2025-3495: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in Delta Electronics COMMGR
CriticalCVE-2025-53948: CWE-415 Double Free in Santesoft Sante PACS Server
HighCVE-2025-52584: CWE-122 Heap-based Buffer Overflow in Ashlar-Vellum Cobalt
HighCVE-2025-46269: CWE-122 Heap-based Buffer Overflow in Ashlar-Vellum Cobalt
HighCVE-2025-54862: CWE-79 Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting') in Santesoft Sante PACS Server
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.