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CVE-2025-13715VulnerabilityPublished

CVE-2025-13715: Tencent FaceDetection-DSFD · Deserialization of Untrusted Data

Affects Tencent FaceDetection-DSFDSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.0 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 37% 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 2026-10-26.

What to do

AI-suggested

1. Immediately monitor for updates or patches from Tencent and apply them as soon as they become available. 2. Implement strict input validation and sanitization on all data received by the FaceDetection-DSFD resnet endpoint to prevent deserialization of malicious objects. 3. Employ network segmentation and least privilege principles to limit the exposure of vulnerable services and restrict root-level access. 4. Educate users on the risks of interacting with untrusted files or links to reduce the likelihood of user interaction-based exploitation. 5. Deploy endpoint detection and response (EDR) solutions to identify anomalous behaviors indicative of exploitation attempts. 6. Conduct regular security audits and penetration testing focused on deserialization vulnerabilities within AI/ML components. 7. Consider disabling or restricting the vulnerable resnet endpoint if it is not essential to operations until a patch is available. 8. Use application-layer firewalls or web application firewalls (WAFs) to detect and block suspicious serialized payloads targeting the vulnerable endpoint.

Description

CVE-2025-13715 is a high-severity remote code execution vulnerability in Tencent FaceDetection-DSFD's resnet endpoint caused by deserialization of untrusted data. Exploitation requires user interaction, such as visiting a malicious page or opening a malicious file. The flaw allows attackers to execute arbitrary code with root privileges due to improper validation of user-supplied data. Although no known exploits are currently in the wild, the vulnerability poses significant risks to affected systems. The CVSS score of 7.8 reflects high impact on confidentiality, integrity, and availability, with low attack complexity but requiring user interaction. European organizations using Tencent FaceDetection-DSFD should prioritize patching and implement strict input validation and network segmentation to mitigate risks. Countries with significant technology sectors and Tencent product usage, such as Germany, France, and the UK, are likely to be most affected. Immediate attention is warranted to prevent potential exploitation in sensitive environments.

References

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