CVE-2025-13714 (GCVE-0-2025-13714)

Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:24
VLAI?
Title
Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model 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-27192.
CWE
  • CWE-502 - Deserialization of Untrusted Data
Assigner
zdi
Impacted products
Vendor Product Version
Tencent MedicalNet Affected: 18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b
Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-13714",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-12-30T21:24:23.668780Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-12-30T21:24:31.489Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unknown",
          "product": "MedicalNet",
          "vendor": "Tencent",
          "versions": [
            {
              "status": "affected",
              "version": "18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b"
            }
          ]
        }
      ],
      "dateAssigned": "2025-11-25T21:53:06.362Z",
      "datePublic": "2025-12-01T22:44:39.342Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model 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-27192."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.0"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502: Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-12-23T21:33:48.324Z",
        "orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
        "shortName": "zdi"
      },
      "references": [
        {
          "name": "ZDI-25-1031",
          "tags": [
            "x_research-advisory"
          ],
          "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1031/"
        },
        {
          "name": "vendor-provided URL",
          "tags": [
            "vendor-advisory"
          ],
          "url": "https://github.com/Tencent/MedicalNet/commit/1679f7ced8fd3e9ce1acc3b86cd840b5abdaa836"
        }
      ],
      "source": {
        "lang": "en",
        "value": "Peter Girnus (@gothburz) of Trend Zero Day Initiative"
      },
      "title": "Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
    "assignerShortName": "zdi",
    "cveId": "CVE-2025-13714",
    "datePublished": "2025-12-23T21:33:48.324Z",
    "dateReserved": "2025-11-25T21:53:06.349Z",
    "dateUpdated": "2025-12-30T21:24:31.489Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "nvd": "{\"cve\":{\"id\":\"CVE-2025-13714\",\"sourceIdentifier\":\"zdi-disclosures@trendmicro.com\",\"published\":\"2025-12-23T22:15:46.200\",\"lastModified\":\"2025-12-29T15:58:56.260\",\"vulnStatus\":\"Awaiting Analysis\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model 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-27192.\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"zdi-disclosures@trendmicro.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":7.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"zdi-disclosures@trendmicro.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-502\"}]}],\"references\":[{\"url\":\"https://github.com/Tencent/MedicalNet/commit/1679f7ced8fd3e9ce1acc3b86cd840b5abdaa836\",\"source\":\"zdi-disclosures@trendmicro.com\"},{\"url\":\"https://www.zerodayinitiative.com/advisories/ZDI-25-1031/\",\"source\":\"zdi-disclosures@trendmicro.com\"}]}}",
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2025-13714\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-12-30T21:24:23.668780Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-12-30T21:24:26.655Z\"}}], \"cna\": {\"title\": \"Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability\", \"source\": {\"lang\": \"en\", \"value\": \"Peter Girnus (@gothburz) of Trend Zero Day Initiative\"}, \"metrics\": [{\"format\": \"CVSS\", \"cvssV3_0\": {\"version\": \"3.0\", \"baseScore\": 7.8, \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\"}}], \"affected\": [{\"vendor\": \"Tencent\", \"product\": \"MedicalNet\", \"versions\": [{\"status\": \"affected\", \"version\": \"18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b\"}], \"defaultStatus\": \"unknown\"}], \"datePublic\": \"2025-12-01T22:44:39.342Z\", \"references\": [{\"url\": \"https://www.zerodayinitiative.com/advisories/ZDI-25-1031/\", \"name\": \"ZDI-25-1031\", \"tags\": [\"x_research-advisory\"]}, {\"url\": \"https://github.com/Tencent/MedicalNet/commit/1679f7ced8fd3e9ce1acc3b86cd840b5abdaa836\", \"name\": \"vendor-provided URL\", \"tags\": [\"vendor-advisory\"]}], \"dateAssigned\": \"2025-11-25T21:53:06.362Z\", \"descriptions\": [{\"lang\": \"en\", \"value\": \"Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model 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-27192.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-502\", \"description\": \"CWE-502: Deserialization of Untrusted Data\"}]}], \"providerMetadata\": {\"orgId\": \"99f1926a-a320-47d8-bbb5-42feb611262e\", \"shortName\": \"zdi\", \"dateUpdated\": \"2025-12-23T21:33:48.324Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2025-13714\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-12-30T21:24:31.489Z\", \"dateReserved\": \"2025-11-25T21:53:06.349Z\", \"assignerOrgId\": \"99f1926a-a320-47d8-bbb5-42feb611262e\", \"datePublished\": \"2025-12-23T21:33:48.324Z\", \"assignerShortName\": \"zdi\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Sightings

Author Source Type Date

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…