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CVE-2025-13716: CWE-502: Deserialization of Untrusted Data in Tencent MimicMotion

0
High
VulnerabilityCVE-2025-13716cvecve-2025-13716cwe-502
Published: Tue Dec 23 2025 (12/23/2025, 21:33:52 UTC)
Source: CVE Database V5
Vendor/Project: Tencent
Product: MimicMotion

Description

Tencent MimicMotion create_pipeline Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MimicMotion. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the create_pipeline function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27208.

AI-Powered Analysis

AILast updated: 12/23/2025, 22:01:52 UTC

Technical Analysis

CVE-2025-13716 is a deserialization of untrusted data vulnerability (CWE-502) found in the create_pipeline function of Tencent MimicMotion. This vulnerability arises because the software fails to properly validate or sanitize user-supplied input before deserializing it, allowing attackers to craft malicious serialized data that, when processed, leads to arbitrary code execution. The vulnerability is exploitable remotely but requires user interaction, such as opening a malicious file or visiting a crafted webpage. Successful exploitation results in code execution with root privileges, enabling full system compromise including confidentiality breaches, data manipulation, and service disruption. The vulnerability was assigned a CVSS v3.0 score of 7.8, indicating high severity with low attack complexity, no privileges required, but user interaction necessary. No public exploits are known yet, but the risk is significant given the root-level impact. Tencent MimicMotion is used in various multimedia and AI-driven applications, which may be integrated into enterprise environments. The lack of available patches at the time of disclosure necessitates immediate mitigation efforts to reduce attack surface and prevent exploitation.

Potential Impact

For European organizations, this vulnerability poses a critical risk especially to sectors relying on Tencent MimicMotion for multimedia processing, AI, or pipeline automation. Successful exploitation could lead to full system compromise, data theft, disruption of services, and potential lateral movement within networks. Confidentiality, integrity, and availability of affected systems are all at high risk. Organizations in finance, telecommunications, media, and critical infrastructure sectors could face operational disruptions and reputational damage. The requirement for user interaction means phishing or social engineering campaigns could be leveraged to trigger exploitation. Given the root-level code execution, attackers could install persistent backdoors or ransomware. The absence of known exploits currently provides a window for proactive defense, but the high severity demands urgent attention.

Mitigation Recommendations

1. Monitor Tencent’s official channels for patches and apply them immediately once available. 2. Until patches are released, restrict or disable the use of the create_pipeline function if feasible. 3. Implement strict input validation and sanitization on all data processed by MimicMotion to prevent malicious serialized objects. 4. Enhance endpoint security by deploying advanced threat detection capable of identifying suspicious deserialization activities. 5. Conduct user awareness training to reduce the risk of phishing or malicious file opening that could trigger exploitation. 6. Employ network segmentation to limit the spread of potential compromise from affected systems. 7. Use application whitelisting and privilege restrictions to minimize the impact of any successful code execution. 8. Monitor logs and system behavior for anomalies indicative of exploitation attempts. 9. Consider deploying runtime application self-protection (RASP) solutions to detect and block deserialization attacks in real time.

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Technical Details

Data Version
5.2
Assigner Short Name
zdi
Date Reserved
2025-11-25T21:53:18.151Z
Cvss Version
3.0
State
PUBLISHED

Threat ID: 694b0d95d69af40f312d389a

Added to database: 12/23/2025, 9:45:57 PM

Last enriched: 12/23/2025, 10:01:52 PM

Last updated: 12/24/2025, 2:12:30 AM

Views: 6

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