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VulnerabilityPublished Updated

CVE-2025-13716: Tencent MimicMotion · Deserialization of Untrusted Data

Affects Tencent MimicMotionSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.0 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 43% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Dec 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

  1. Immediate mitigation should focus on restricting access to Tencent MimicMotion installations, especially limiting exposure to untrusted networks and users.
  2. Implement strict input validation and sanitization on all data inputs related to the create_pipeline function to prevent deserialization of malicious objects.
  3. Employ application-layer firewalls or intrusion prevention systems (IPS) to detect and block suspicious serialized data patterns.
  4. Educate users about the risks of opening files or visiting links from untrusted sources to reduce the likelihood of user interaction exploitation.
  5. Monitor system and application logs for unusual activity indicative of exploitation attempts, such as unexpected process executions or privilege escalations.
  6. Segment networks to isolate critical systems running Tencent MimicMotion, limiting lateral movement in case of compromise.
  7. Stay alert for official patches or updates from Tencent and apply them promptly once available.
  8. Consider deploying endpoint detection and response (EDR) solutions capable of identifying anomalous behavior related to deserialization attacks.
  9. Conduct regular security assessments and penetration testing focusing on deserialization vulnerabilities and user interaction attack vectors.

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.

References

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