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CVE-2025-5136: Insufficiently Random Values in Tmall Demo

Low
VulnerabilityCVE-2025-5136cvecve-2025-5136
Published: Sat May 24 2025 (05/24/2025, 23:31:04 UTC)
Source: CVE
Vendor/Project: Tmall
Product: Demo

Description

A vulnerability, which was classified as problematic, was found in Tmall Demo up to 20250505. This affects an unknown part of the file /tmall/order/pay/ of the component Payment Identifier Handler. The manipulation leads to insufficiently random values. It is possible to initiate the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. The exploit has been disclosed to the public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.

AI-Powered Analysis

AILast updated: 07/09/2025, 01:12:53 UTC

Technical Analysis

CVE-2025-5136 is a vulnerability identified in the Tmall Demo product, specifically affecting an unknown part of the file path /tmall/order/pay/ within the Payment Identifier Handler component. The core issue is the generation of insufficiently random values, which can undermine the security mechanisms relying on randomness, such as session tokens, payment identifiers, or cryptographic nonces. This vulnerability can be exploited remotely without requiring authentication or user interaction, but the attack complexity is rated as high and exploitability is considered difficult. The vulnerability was publicly disclosed on May 24, 2025, with a CVSS 4.0 base score of 6.3, indicating a moderate severity level. The vendor has not responded to disclosure attempts, and no patches or versioning information are available, complicating mitigation efforts. Insufficient randomness can lead to predictability in security tokens, potentially allowing attackers to perform replay attacks, impersonation, or transaction manipulation within the payment processing workflow. However, the absence of known exploits in the wild and the high complexity reduce the immediate risk. The vulnerability does not impact confidentiality, integrity, or availability directly but poses a risk to the integrity of payment identifiers and related processes.

Potential Impact

For European organizations using Tmall Demo, particularly those handling payment processing or e-commerce transactions, this vulnerability could lead to manipulation or prediction of payment identifiers, potentially enabling fraudulent transactions or unauthorized access to payment workflows. Although the exploit complexity is high and no active exploitation is reported, the lack of vendor response and patch availability increases the risk over time. Organizations in Europe that rely on Tmall Demo for order and payment management may face financial risks, reputational damage, and regulatory scrutiny under GDPR if payment data integrity is compromised. The impact is more pronounced for businesses with high transaction volumes or those integrated deeply with Tmall Demo's payment systems. Additionally, the inability to verify affected versions due to lack of versioning complicates risk assessment and incident response.

Mitigation Recommendations

Given the absence of vendor patches and versioning, European organizations should implement compensating controls. These include: 1) Enhancing monitoring and anomaly detection around payment transactions to identify unusual patterns indicative of exploitation attempts. 2) Employing additional randomness or entropy sources at the application or infrastructure level to supplement or replace the vulnerable randomness generation in Tmall Demo. 3) Isolating and restricting access to the /tmall/order/pay/ component to minimize exposure. 4) Conducting thorough code reviews or penetration testing focused on the payment identifier generation process to identify and remediate weaknesses. 5) Considering alternative payment processing solutions or custom wrappers that enforce stronger randomness and validation. 6) Maintaining strict logging and audit trails for payment operations to facilitate forensic analysis if exploitation occurs. 7) Engaging with Tmall or third-party security experts for potential unofficial patches or mitigations. These steps go beyond generic advice by focusing on compensating controls and proactive detection in the absence of vendor support.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-05-23T18:41:48.704Z
Cisa Enriched
false
Cvss Version
4.0
State
PUBLISHED

Threat ID: 683258450acd01a24927e7fa

Added to database: 5/24/2025, 11:37:41 PM

Last enriched: 7/9/2025, 1:12:53 AM

Last updated: 7/30/2025, 4:09:42 PM

Views: 14

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