FKIE_CVE-2025-13715

Vulnerability from fkie_nvd - Published: 2025-12-23 22:15 - Updated: 2026-06-17 08:34
Severity
7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Summary
Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. 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 resnet 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-27197.
References
zdi-disclosures@trendmicro.comhttps://github.com/Tencent/FaceDetection-DSFD/commit/a941d089d8ae2df5292a904e79d88649cb58a440
zdi-disclosures@trendmicro.comhttps://www.zerodayinitiative.com/advisories/ZDI-25-1183/
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unknown",
          "product": "FaceDetection-DSFD",
          "vendor": "Tencent",
          "versions": [
            {
              "status": "affected",
              "version": "09deec4376f397a1124f71bc81210fadfaac296e"
            }
          ]
        }
      ],
      "source": "zdi-disclosures@trendmicro.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the resnet 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-27197."
    }
  ],
  "id": "CVE-2025-13715",
  "lastModified": "2026-06-17T08:34:38.027",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "zdi-disclosures@trendmicro.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-13715",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-12-24T16:12:47.185023Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-12-23T22:15:46.323",
  "references": [
    {
      "source": "zdi-disclosures@trendmicro.com",
      "url": "https://github.com/Tencent/FaceDetection-DSFD/commit/a941d089d8ae2df5292a904e79d88649cb58a440"
    },
    {
      "source": "zdi-disclosures@trendmicro.com",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1183/"
    }
  ],
  "sourceIdentifier": "zdi-disclosures@trendmicro.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "zdi-disclosures@trendmicro.com",
      "type": "Secondary"
    }
  ]
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


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