CVE-2025-13117: Improper Authorization in macrozheng mall-swarm
A security vulnerability has been detected in macrozheng mall-swarm up to 1.0.3. Affected by this vulnerability is the function cancelOrder of the file /order/cancelOrder. The manipulation of the argument orderId leads to improper authorization. The attack can be initiated remotely. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
AI Analysis
Technical Summary
CVE-2025-13117 is an improper authorization vulnerability identified in the macrozheng mall-swarm e-commerce platform, specifically in versions 1.0.0 through 1.0.3. The flaw resides in the cancelOrder function located at /order/cancelOrder, where the orderId parameter is insufficiently validated. This allows a remote attacker to manipulate the orderId argument to cancel orders they are not authorized to modify. The vulnerability does not require authentication, user interaction, or elevated privileges, making it remotely exploitable over the network with low complexity. The improper authorization means that the system fails to verify whether the requesting user has the right to cancel the specified order, potentially allowing attackers to disrupt order fulfillment processes or cause financial and reputational damage. The vendor was notified early but has not issued any patches or mitigations, and public exploit information is available, increasing the risk of exploitation. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:N, VI:L, VA:L). This vulnerability highlights a critical lapse in access control mechanisms within the affected e-commerce platform.
Potential Impact
For European organizations using macrozheng mall-swarm, this vulnerability poses a risk of unauthorized order cancellations, which can disrupt business operations, cause financial losses, and damage customer trust. Attackers could cancel legitimate orders, leading to inventory mismanagement and customer dissatisfaction. The integrity of order data is compromised, and availability of order processing services may be affected if attackers exploit this vulnerability at scale. Given the remote exploitability without authentication, threat actors can easily target exposed instances, including those integrated into supply chains or third-party services. This could also facilitate further attacks by creating confusion or exploiting the disruption to cover other malicious activities. The lack of vendor response and patches increases the window of exposure, making timely mitigation critical. European e-commerce sectors, especially those relying on mall-swarm for order management, face operational and reputational risks from this vulnerability.
Mitigation Recommendations
Since no official patches are available, organizations should implement strict server-side authorization checks to validate that the user requesting order cancellation is authorized for the specific orderId. This includes verifying user identity, ownership of the order, and enforcing role-based access controls. Logging and monitoring of all cancelOrder requests should be enhanced to detect anomalous or unauthorized activities promptly. Network-level protections such as web application firewalls (WAFs) can be configured to detect and block suspicious parameter manipulations targeting the cancelOrder endpoint. Organizations should also consider isolating or restricting access to the mall-swarm order management interfaces to trusted networks or VPNs. Engaging with the vendor for updates and tracking any future patches is essential. Additionally, educating staff and customers about potential disruptions can help manage impact during remediation.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy
CVE-2025-13117: Improper Authorization in macrozheng mall-swarm
Description
A security vulnerability has been detected in macrozheng mall-swarm up to 1.0.3. Affected by this vulnerability is the function cancelOrder of the file /order/cancelOrder. The manipulation of the argument orderId leads to improper authorization. The attack can be initiated remotely. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
AI-Powered Analysis
Technical Analysis
CVE-2025-13117 is an improper authorization vulnerability identified in the macrozheng mall-swarm e-commerce platform, specifically in versions 1.0.0 through 1.0.3. The flaw resides in the cancelOrder function located at /order/cancelOrder, where the orderId parameter is insufficiently validated. This allows a remote attacker to manipulate the orderId argument to cancel orders they are not authorized to modify. The vulnerability does not require authentication, user interaction, or elevated privileges, making it remotely exploitable over the network with low complexity. The improper authorization means that the system fails to verify whether the requesting user has the right to cancel the specified order, potentially allowing attackers to disrupt order fulfillment processes or cause financial and reputational damage. The vendor was notified early but has not issued any patches or mitigations, and public exploit information is available, increasing the risk of exploitation. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:N, VI:L, VA:L). This vulnerability highlights a critical lapse in access control mechanisms within the affected e-commerce platform.
Potential Impact
For European organizations using macrozheng mall-swarm, this vulnerability poses a risk of unauthorized order cancellations, which can disrupt business operations, cause financial losses, and damage customer trust. Attackers could cancel legitimate orders, leading to inventory mismanagement and customer dissatisfaction. The integrity of order data is compromised, and availability of order processing services may be affected if attackers exploit this vulnerability at scale. Given the remote exploitability without authentication, threat actors can easily target exposed instances, including those integrated into supply chains or third-party services. This could also facilitate further attacks by creating confusion or exploiting the disruption to cover other malicious activities. The lack of vendor response and patches increases the window of exposure, making timely mitigation critical. European e-commerce sectors, especially those relying on mall-swarm for order management, face operational and reputational risks from this vulnerability.
Mitigation Recommendations
Since no official patches are available, organizations should implement strict server-side authorization checks to validate that the user requesting order cancellation is authorized for the specific orderId. This includes verifying user identity, ownership of the order, and enforcing role-based access controls. Logging and monitoring of all cancelOrder requests should be enhanced to detect anomalous or unauthorized activities promptly. Network-level protections such as web application firewalls (WAFs) can be configured to detect and block suspicious parameter manipulations targeting the cancelOrder endpoint. Organizations should also consider isolating or restricting access to the mall-swarm order management interfaces to trusted networks or VPNs. Engaging with the vendor for updates and tracking any future patches is essential. Additionally, educating staff and customers about potential disruptions can help manage impact during remediation.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-11-13T06:56:43.664Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6915ee5ff690f81e3c76b569
Added to database: 11/13/2025, 2:42:39 PM
Last enriched: 11/13/2025, 2:58:19 PM
Last updated: 11/14/2025, 5:17:47 AM
Views: 8
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