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CVE-2025-13117: Improper Authorization in macrozheng mall-swarm

0
Medium
VulnerabilityCVE-2025-13117cvecve-2025-13117
Published: Thu Nov 13 2025 (11/13/2025, 14:32:06 UTC)
Source: CVE Database V5
Vendor/Project: macrozheng
Product: mall-swarm

Description

A security vulnerability has been detected in macrozheng mall-swarm and mall 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

AILast updated: 11/20/2025, 15:02:04 UTC

Technical Analysis

CVE-2025-13117 is an authorization vulnerability found in the macrozheng mall-swarm and mall e-commerce platforms up to version 1.0.3. The flaw exists in the cancelOrder function located at /order/cancelOrder, where the orderId parameter is insufficiently validated, allowing an attacker to cancel orders they are not authorized to manage. This improper authorization can be exploited remotely without user interaction and requires only low privileges, increasing the attack surface. The vulnerability has a CVSS 4.0 score of 5.3, indicating medium severity, with an exploitability rating of low complexity and no authentication required. The vendor was notified but has not issued any patches or responses, and while no active exploits have been reported, the public disclosure of the vulnerability details raises the risk of exploitation. The vulnerability could be leveraged to disrupt business operations, cause financial damage, and undermine customer trust by enabling unauthorized order cancellations. The lack of vendor response and patch availability necessitates immediate attention from organizations using the affected versions.

Potential Impact

For European organizations, the vulnerability poses a risk of unauthorized order cancellations, which can disrupt e-commerce operations, lead to financial losses, and damage customer relationships. Retailers relying on macrozheng mall-swarm may experience operational downtime or fraudulent order manipulations. The attack can be executed remotely and without user interaction, increasing the likelihood of exploitation. This could also lead to reputational damage and potential regulatory scrutiny under data protection and consumer protection laws if customer transactions are affected. The medium severity rating suggests moderate impact, but the lack of vendor remediation and public exploit details elevate the urgency for mitigation. Organizations in sectors with high e-commerce dependency are particularly vulnerable.

Mitigation Recommendations

1. Immediately implement strict authorization checks on the cancelOrder function to ensure that only users with proper permissions can cancel orders. 2. Employ input validation and parameter sanitization for the orderId argument to prevent unauthorized manipulation. 3. Monitor application logs and network traffic for unusual order cancellation requests or patterns indicative of exploitation attempts. 4. Restrict access to the cancelOrder endpoint using network segmentation or firewall rules where feasible. 5. If possible, upgrade to a patched version once the vendor releases it or consider alternative e-commerce platforms with active security support. 6. Conduct regular security assessments and penetration testing focusing on authorization controls within the e-commerce system. 7. Educate development teams about secure coding practices related to authorization and parameter validation. 8. Establish incident response plans to quickly address any exploitation attempts or breaches stemming from this vulnerability.

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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: 11/20/2025, 3:02:04 PM

Last updated: 12/29/2025, 1:20:59 AM

Views: 60

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