CVE-2025-13711: Tencent TFace · Deserialization of Untrusted Data
Affects Tencent TFaceSource CVE Database V5
Not known to be exploited · CVSS 7.8 High.
Data as of 25 Oct 2026, 19:02 UTC
- 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:HExploitation evidence
Disclosed: evidence found.
CVE published 23 Dec 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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 2026-10-25.
What to do
AI-suggested
European organizations should implement the following specific mitigations: 1) Monitor Tencent’s official channels closely for patches or updates addressing CVE-2025-13711 and apply them immediately upon release. 2) Restrict access to the eval endpoint by implementing network segmentation and firewall rules to limit exposure only to trusted users and systems. 3) Employ strict input validation and sanitization on all data processed by Tencent TFace, especially data reaching the eval endpoint, to prevent malicious serialized objects from being processed. 4) Educate users about the risks of opening files or visiting links from untrusted sources to reduce the likelihood of user interaction-based exploitation. 5) Deploy endpoint detection and response (EDR) solutions capable of identifying suspicious deserialization activities or anomalous process behaviors indicative of exploitation attempts. 6) Conduct regular security assessments and penetration testing focused on deserialization vulnerabilities within Tencent TFace deployments. 7) Implement application-layer security controls such as Web Application Firewalls (WAFs) configured to detect and block malicious payloads targeting deserialization flaws. 8) Maintain robust backup and recovery procedures to minimize impact in case of successful exploitation. These measures collectively reduce the attack surface and improve detection and response capabilities against this vulnerability.
Description
Tencent TFace eval Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. 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 eval endpoint. 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-27187.