GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2017-21543

Vulnerability from cnvd - Published: 2017-08-17
VLAI
Title
Brother Industries MFC-J960DWN跨站请求伪造漏洞
Description
Brother Industries MFC-J960DWN是日本Brother Industries公司的一款打印机。 使用D及之前版本固件的Brother Industries MFC-J960DWN中存在跨站请求伪造漏洞。远程攻击者可利用该漏洞执行未授权的操作。
Severity
Patch Name
Brother Industries MFC-J960DWN跨站请求伪造漏洞的补丁
Patch Description
Brother Industries MFC-J960DWN是日本Brother Industries公司的一款打印机。 使用D及之前版本固件的Brother Industries MFC-J960DWN中存在跨站请求伪造漏洞。远程攻击者可利用该漏洞执行未授权的操作。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: http://support.brother.co.jp/j/s/support/vul_info/JVN95996423/index.html

Reference
http://jvn.jp/en/jp/JVN95996423/index.html
Impacted products
Name
Brother Industries, Ltd MFC-J960DWN firmware <=ver.D
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-2244"
    }
  },
  "description": "Brother Industries MFC-J960DWN\u662f\u65e5\u672cBrother Industries\u516c\u53f8\u7684\u4e00\u6b3e\u6253\u5370\u673a\u3002\r\n\r\n\u4f7f\u7528D\u53ca\u4e4b\u524d\u7248\u672c\u56fa\u4ef6\u7684Brother Industries MFC-J960DWN\u4e2d\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u6388\u6743\u7684\u64cd\u4f5c\u3002",
  "discovererName": "Taiga Asano",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttp://support.brother.co.jp/j/s/support/vul_info/JVN95996423/index.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-21543",
  "openTime": "2017-08-17",
  "patchDescription": "Brother Industries MFC-J960DWN\u662f\u65e5\u672cBrother Industries\u516c\u53f8\u7684\u4e00\u6b3e\u6253\u5370\u673a\u3002\r\n\r\n\u4f7f\u7528D\u53ca\u4e4b\u524d\u7248\u672c\u56fa\u4ef6\u7684Brother Industries MFC-J960DWN\u4e2d\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u6388\u6743\u7684\u64cd\u4f5c\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": "Brother Industries MFC-J960DWN\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Brother Industries, Ltd MFC-J960DWN firmware \u003c=ver.D"
  },
  "referenceLink": "http://jvn.jp/en/jp/JVN95996423/index.html",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-04",
  "title": "Brother Industries MFC-J960DWN\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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…

Detection rules are retrieved from Rulezet.

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…