CVE-2022-41408: 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-2022-41408 is a critical 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) allows an attacker to inject malicious SQL code into the backend database query, potentially enabling unauthorized data access, data manipulation, or even full system compromise. The CVSS v3.1 score of 9.8 indicates this vulnerability is critical with network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and impacts confidentiality, integrity, and availability at a high level (C:H/I:H/A:H). Exploiting this vulnerability does not require authentication or user interaction, making it highly exploitable remotely. Although no known exploits are currently reported in the wild, the vulnerability’s characteristics make it a prime target for attackers seeking to compromise web applications and backend databases. The lack of vendor or product information and absence of patches suggest this may be a niche or less widely known application, but the vulnerability type and severity remain highly relevant to any similar web applications that handle order management or administrative functions via SQL queries.
Potential Impact
For European organizations, the impact of this vulnerability could be severe if the affected application or similar systems are in use. Exploitation could lead to unauthorized disclosure of sensitive customer data, including personal and payment information, which would violate GDPR regulations and result in significant legal and financial penalties. Additionally, attackers could alter order data, disrupt business operations, or use the compromised system as a foothold for further network intrusion. The critical severity and ease of exploitation increase the risk of widespread damage, especially for e-commerce platforms or SMEs that may use similar off-the-shelf or custom web applications without robust security controls. The reputational damage and operational disruption could be substantial, particularly in sectors like retail, logistics, or supply chain management that rely on order processing systems.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the SQL injection vulnerability by implementing parameterized queries or prepared statements to safely handle user input in the 'id' parameter. 2) Conduct thorough input validation and sanitization across all user inputs, especially those interacting with database queries. 3) Deploy Web Application Firewalls (WAFs) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 4) Perform comprehensive security testing, including automated and manual penetration testing, to identify and remediate similar vulnerabilities in the application. 5) Monitor application logs and network traffic for suspicious activities indicative of exploitation attempts. 6) If possible, isolate the affected application environment to limit lateral movement in case of compromise. 7) Educate developers on secure coding practices to prevent future injection flaws. 8) Maintain an incident response plan to quickly address any exploitation events. Since no patch is currently available, these mitigations are critical to reduce risk.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2022-41408: 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-2022-41408 is a critical 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) allows an attacker to inject malicious SQL code into the backend database query, potentially enabling unauthorized data access, data manipulation, or even full system compromise. The CVSS v3.1 score of 9.8 indicates this vulnerability is critical with network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and impacts confidentiality, integrity, and availability at a high level (C:H/I:H/A:H). Exploiting this vulnerability does not require authentication or user interaction, making it highly exploitable remotely. Although no known exploits are currently reported in the wild, the vulnerability’s characteristics make it a prime target for attackers seeking to compromise web applications and backend databases. The lack of vendor or product information and absence of patches suggest this may be a niche or less widely known application, but the vulnerability type and severity remain highly relevant to any similar web applications that handle order management or administrative functions via SQL queries.
Potential Impact
For European organizations, the impact of this vulnerability could be severe if the affected application or similar systems are in use. Exploitation could lead to unauthorized disclosure of sensitive customer data, including personal and payment information, which would violate GDPR regulations and result in significant legal and financial penalties. Additionally, attackers could alter order data, disrupt business operations, or use the compromised system as a foothold for further network intrusion. The critical severity and ease of exploitation increase the risk of widespread damage, especially for e-commerce platforms or SMEs that may use similar off-the-shelf or custom web applications without robust security controls. The reputational damage and operational disruption could be substantial, particularly in sectors like retail, logistics, or supply chain management that rely on order processing systems.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the SQL injection vulnerability by implementing parameterized queries or prepared statements to safely handle user input in the 'id' parameter. 2) Conduct thorough input validation and sanitization across all user inputs, especially those interacting with database queries. 3) Deploy Web Application Firewalls (WAFs) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 4) Perform comprehensive security testing, including automated and manual penetration testing, to identify and remediate similar vulnerabilities in the application. 5) Monitor application logs and network traffic for suspicious activities indicative of exploitation attempts. 6) If possible, isolate the affected application environment to limit lateral movement in case of compromise. 7) Educate developers on secure coding practices to prevent future injection flaws. 8) Maintain an incident response plan to quickly address any exploitation events. Since no patch is currently available, these mitigations are critical to reduce risk.
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: 682cd0f81484d88663aeb46c
Added to database: 5/20/2025, 6:59:04 PM
Last enriched: 7/6/2025, 7:10:42 AM
Last updated: 8/14/2025, 2:53:55 PM
Views: 10
Related Threats
CVE-2025-8988: SQL Injection in SourceCodester COVID 19 Testing Management System
MediumCVE-2025-8987: SQL Injection in SourceCodester COVID 19 Testing Management System
MediumCVE-2025-8986: SQL Injection in SourceCodester COVID 19 Testing Management System
MediumCVE-2025-31987: CWE-405 Asymmetric Resource Consumption in HCL Software Connections Docs
MediumCVE-2025-8985: SQL Injection in SourceCodester COVID 19 Testing Management System
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.