CVE-2024-24112: n/a in n/a
xmall v1.1 was discovered to contain a SQL injection vulnerability via the orderDir parameter.
AI Analysis
Technical Summary
CVE-2024-24112 is a critical SQL injection vulnerability identified in xmall version 1.1. The vulnerability arises from improper sanitization of the 'orderDir' parameter, which is used to control the ordering direction in SQL queries. An attacker can exploit this flaw by injecting malicious SQL code through the 'orderDir' parameter, enabling unauthorized manipulation of the backend database. This can lead to full compromise of the database confidentiality, integrity, and availability. The vulnerability has a CVSS 3.1 base score of 9.8, indicating a critical severity level. It requires no authentication (PR:N) and no user interaction (UI:N), and can be exploited remotely over the network (AV:N) with low attack complexity (AC:L). The scope is unchanged (S:U), meaning the impact is limited to the vulnerable component but with high impact on confidentiality (C:H), integrity (I:H), and availability (A:H). Although no known exploits are currently reported in the wild, the nature of SQL injection vulnerabilities makes this a high-risk issue that could be leveraged for data exfiltration, data manipulation, or denial of service attacks. The vulnerability is categorized under CWE-89, which corresponds to improper neutralization of special elements used in an SQL command ('SQL Injection'). No patch links are provided, suggesting that remediation may require vendor intervention or manual mitigation.
Potential Impact
For European organizations using xmall v1.1, this vulnerability poses a significant risk to sensitive data and operational continuity. Exploitation could lead to unauthorized access to customer data, financial records, or other critical business information stored in the database. This can result in data breaches, regulatory non-compliance (e.g., GDPR violations), reputational damage, and financial losses. The ability to alter or delete data can disrupt business processes and cause service outages, impacting customer trust and revenue. Given the critical severity and ease of exploitation, attackers could automate attacks to compromise multiple targets rapidly. Organizations in sectors such as e-commerce, retail, and any industry relying on xmall for order management or sales processing are particularly vulnerable. The lack of authentication requirement increases the attack surface, making perimeter defenses alone insufficient. The absence of known exploits in the wild currently provides a window for proactive mitigation before widespread exploitation occurs.
Mitigation Recommendations
1. Immediate mitigation should focus on input validation and sanitization of the 'orderDir' parameter to prevent injection of malicious SQL code. Implement parameterized queries or prepared statements to safely handle user inputs. 2. Conduct a thorough code review of all database interaction points in xmall to identify and remediate similar injection risks. 3. If vendor patches become available, prioritize their deployment in all affected environments. 4. Employ Web Application Firewalls (WAFs) with rules specifically designed to detect and block SQL injection attempts targeting the 'orderDir' parameter. 5. Monitor logs for unusual database query patterns or errors indicative of injection attempts. 6. Restrict database user permissions to the minimum necessary to limit the impact of a successful injection. 7. Educate development and security teams about secure coding practices to prevent future injection vulnerabilities. 8. Consider network segmentation and application-layer access controls to reduce exposure of vulnerable services. 9. Regularly back up databases and verify restoration procedures to mitigate data loss from potential destructive attacks.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2024-24112: n/a in n/a
Description
xmall v1.1 was discovered to contain a SQL injection vulnerability via the orderDir parameter.
AI-Powered Analysis
Technical Analysis
CVE-2024-24112 is a critical SQL injection vulnerability identified in xmall version 1.1. The vulnerability arises from improper sanitization of the 'orderDir' parameter, which is used to control the ordering direction in SQL queries. An attacker can exploit this flaw by injecting malicious SQL code through the 'orderDir' parameter, enabling unauthorized manipulation of the backend database. This can lead to full compromise of the database confidentiality, integrity, and availability. The vulnerability has a CVSS 3.1 base score of 9.8, indicating a critical severity level. It requires no authentication (PR:N) and no user interaction (UI:N), and can be exploited remotely over the network (AV:N) with low attack complexity (AC:L). The scope is unchanged (S:U), meaning the impact is limited to the vulnerable component but with high impact on confidentiality (C:H), integrity (I:H), and availability (A:H). Although no known exploits are currently reported in the wild, the nature of SQL injection vulnerabilities makes this a high-risk issue that could be leveraged for data exfiltration, data manipulation, or denial of service attacks. The vulnerability is categorized under CWE-89, which corresponds to improper neutralization of special elements used in an SQL command ('SQL Injection'). No patch links are provided, suggesting that remediation may require vendor intervention or manual mitigation.
Potential Impact
For European organizations using xmall v1.1, this vulnerability poses a significant risk to sensitive data and operational continuity. Exploitation could lead to unauthorized access to customer data, financial records, or other critical business information stored in the database. This can result in data breaches, regulatory non-compliance (e.g., GDPR violations), reputational damage, and financial losses. The ability to alter or delete data can disrupt business processes and cause service outages, impacting customer trust and revenue. Given the critical severity and ease of exploitation, attackers could automate attacks to compromise multiple targets rapidly. Organizations in sectors such as e-commerce, retail, and any industry relying on xmall for order management or sales processing are particularly vulnerable. The lack of authentication requirement increases the attack surface, making perimeter defenses alone insufficient. The absence of known exploits in the wild currently provides a window for proactive mitigation before widespread exploitation occurs.
Mitigation Recommendations
1. Immediate mitigation should focus on input validation and sanitization of the 'orderDir' parameter to prevent injection of malicious SQL code. Implement parameterized queries or prepared statements to safely handle user inputs. 2. Conduct a thorough code review of all database interaction points in xmall to identify and remediate similar injection risks. 3. If vendor patches become available, prioritize their deployment in all affected environments. 4. Employ Web Application Firewalls (WAFs) with rules specifically designed to detect and block SQL injection attempts targeting the 'orderDir' parameter. 5. Monitor logs for unusual database query patterns or errors indicative of injection attempts. 6. Restrict database user permissions to the minimum necessary to limit the impact of a successful injection. 7. Educate development and security teams about secure coding practices to prevent future injection vulnerabilities. 8. Consider network segmentation and application-layer access controls to reduce exposure of vulnerable services. 9. Regularly back up databases and verify restoration procedures to mitigate data loss from potential destructive 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
- 2024-01-25T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9818c4522896dcbd80cb
Added to database: 5/21/2025, 9:08:40 AM
Last enriched: 7/5/2025, 4:27:56 AM
Last updated: 9/26/2025, 8:28:05 AM
Views: 15
Related Threats
CVE-2025-59835: CWE-23: Relative Path Traversal in langbot-app LangBot
HighCVE-2025-32942: CWE-670 Always-Incorrect Control Flow Implementation in SSH Tectia Server
HighCVE-2025-54315: CWE-837 Improper Enforcement of a Single, Unique Action in Matrix Matrix specification
HighCVE-2025-49090: CWE-642 External Control of Critical State Data in Matrix Matrix specification
HighCVE-2025-61691: Out-of-bounds Read in KEYENCE CORPORATION VT STUDIO
HighActions
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.