CNVD-2025-24784

Vulnerability from cnvd - Published: 2025-10-24
VLAI
Title
SAMSUNG Mobile devices存在未明漏洞(CNVD-2025-24784)
Description
SAMSUNG Mobile devices是韩国三星(SAMSUNG)公司的一系列的三星移动设备,包括手机、平板等。 SAMSUNG Mobile devices SMR Oct-2025 Release 1之前版本存在安全漏洞,攻击者可利用该漏洞导致内存损坏。
Severity
Patch Name
SAMSUNG Mobile devices存在未明漏洞(CNVD-2025-24784)的补丁
Patch Description
SAMSUNG Mobile devices是韩国三星(SAMSUNG)公司的一系列的三星移动设备,包括手机、平板等。 SAMSUNG Mobile devices SMR Oct-2025 Release 1之前版本存在安全漏洞,攻击者可利用该漏洞导致内存损坏。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://security.samsungmobile.com/securityUpdate.smsb?year=2025&month=10

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-21052
Impacted products
Name
['Samsung Samsung mobile devices Android 13', 'Samsung Samsung mobile devices Android 14', 'Samsung Samsung mobile devices Android 15', 'Samsung Samsung mobile devices Android 16']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-21052",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-21052"
    }
  },
  "description": "SAMSUNG Mobile devices\u662f\u97e9\u56fd\u4e09\u661f\uff08SAMSUNG\uff09\u516c\u53f8\u7684\u4e00\u7cfb\u5217\u7684\u4e09\u661f\u79fb\u52a8\u8bbe\u5907\uff0c\u5305\u62ec\u624b\u673a\u3001\u5e73\u677f\u7b49\u3002\n\nSAMSUNG Mobile devices SMR Oct-2025 Release 1\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u5185\u5b58\u635f\u574f\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://security.samsungmobile.com/securityUpdate.smsb?year=2025\u0026month=10",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-24784",
  "openTime": "2025-10-24",
  "patchDescription": "SAMSUNG Mobile devices\u662f\u97e9\u56fd\u4e09\u661f\uff08SAMSUNG\uff09\u516c\u53f8\u7684\u4e00\u7cfb\u5217\u7684\u4e09\u661f\u79fb\u52a8\u8bbe\u5907\uff0c\u5305\u62ec\u624b\u673a\u3001\u5e73\u677f\u7b49\u3002\r\n\r\nSAMSUNG Mobile devices SMR Oct-2025 Release 1\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u5185\u5b58\u635f\u574f\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "SAMSUNG Mobile devices\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2025-24784\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Samsung Samsung mobile devices Android 13",
      "Samsung Samsung mobile devices Android 14",
      "Samsung Samsung mobile devices Android 15",
      "Samsung Samsung mobile devices Android 16"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-21052",
  "serverity": "\u4f4e",
  "submitTime": "2025-10-21",
  "title": "SAMSUNG Mobile devices\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2025-24784\uff09"
}



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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

Author Source Type Date Other

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.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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