CNVD-2025-02715

Vulnerability from cnvd - Published: 2025-02-11
VLAI
Title
Samsung Mobile DressRoom任意文件访问漏洞
Description
Samsung Mobile是韩国三星(Samsung)公司的一款手机。 Samsung Mobile DressRoom存在任意文件访问漏洞,该漏洞源于对Dressroom中的Incoming Intent进行错误的清理,本地攻击者可利用该漏洞在未经许可的情况下读取和写入任意文件。
Severity
低
Patch Name
Samsung Mobile DressRoom任意文件访问漏洞的补丁
Patch Description
Samsung Mobile是韩国三星(Samsung)公司的一款手机。 Samsung Mobile DressRoom存在任意文件访问漏洞,该漏洞源于对Dressroom中的Incoming Intent进行错误的清理,本地攻击者可利用该漏洞在未经许可的情况下读取和写入任意文件。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=2022&month=1

Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-22264
Impacted products
Name
['Samsung Q(10)', 'Samsung Dressroom R(11.0) null', 'Samsung S(12)']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-22264",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-22264"
    }
  },
  "description": "Samsung Mobile\u662f\u97e9\u56fd\u4e09\u661f\uff08Samsung\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u624b\u673a\u3002 \n\nSamsung Mobile DressRoom\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bbf\u95ee\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9Dressroom\u4e2d\u7684Incoming Intent\u8fdb\u884c\u9519\u8bef\u7684\u6e05\u7406\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u8bb8\u53ef\u7684\u60c5\u51b5\u4e0b\u8bfb\u53d6\u548c\u5199\u5165\u4efb\u610f\u6587\u4ef6\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=2022\u0026month=1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-02715",
  "openTime": "2025-02-11",
  "patchDescription": "Samsung Mobile\u662f\u97e9\u56fd\u4e09\u661f\uff08Samsung\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u624b\u673a\u3002 \r\n\r\nSamsung Mobile DressRoom\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bbf\u95ee\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9Dressroom\u4e2d\u7684Incoming Intent\u8fdb\u884c\u9519\u8bef\u7684\u6e05\u7406\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u8bb8\u53ef\u7684\u60c5\u51b5\u4e0b\u8bfb\u53d6\u548c\u5199\u5165\u4efb\u610f\u6587\u4ef6\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 DressRoom\u4efb\u610f\u6587\u4ef6\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Samsung Q(10)",
      "Samsung Dressroom R(11.0) null",
      "Samsung S(12)"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-22264",
  "serverity": "\u4f4e",
  "submitTime": "2022-01-18",
  "title": "Samsung Mobile DressRoom\u4efb\u610f\u6587\u4ef6\u8bbf\u95ee\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…