CNVD-2020-52876

Vulnerability from cnvd - Published: 2020-09-19
VLAI
Title
SpamTitan任意文件读取漏洞
Description
SpamTitan是爱尔兰C/o Copperfasten公司的一套反垃圾邮件解决方案。该方案具有易于安装、配置简单等特点。 SpamTitan 7.07存在任意文件读取漏洞。该漏洞源于certs-x.php中的fname参数验证不当。攻击者可利用该漏洞检索任意文件的内容。
Severity
中
Patch Name
SpamTitan任意文件读取漏洞的补丁
Patch Description
SpamTitan是爱尔兰C/o Copperfasten公司的一套反垃圾邮件解决方案。该方案具有易于安装、配置简单等特点。 SpamTitan 7.07存在任意文件读取漏洞。该漏洞源于certs-x.php中的fname参数验证不当。攻击者可利用该漏洞检索任意文件的内容。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://www.spamtitan.com/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-11700
Impacted products
Name
C/o Copperfasten SpamTitan 7.07
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-11700",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-11700"
    }
  },
  "description": "SpamTitan\u662f\u7231\u5c14\u5170C/o Copperfasten\u516c\u53f8\u7684\u4e00\u5957\u53cd\u5783\u573e\u90ae\u4ef6\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u5177\u6709\u6613\u4e8e\u5b89\u88c5\u3001\u914d\u7f6e\u7b80\u5355\u7b49\u7279\u70b9\u3002\n\nSpamTitan 7.07\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8ecerts-x.php\u4e2d\u7684fname\u53c2\u6570\u9a8c\u8bc1\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u68c0\u7d22\u4efb\u610f\u6587\u4ef6\u7684\u5185\u5bb9\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://www.spamtitan.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-52876",
  "openTime": "2020-09-19",
  "patchDescription": "SpamTitan\u662f\u7231\u5c14\u5170C/o Copperfasten\u516c\u53f8\u7684\u4e00\u5957\u53cd\u5783\u573e\u90ae\u4ef6\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u5177\u6709\u6613\u4e8e\u5b89\u88c5\u3001\u914d\u7f6e\u7b80\u5355\u7b49\u7279\u70b9\u3002\r\n\r\nSpamTitan 7.07\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8ecerts-x.php\u4e2d\u7684fname\u53c2\u6570\u9a8c\u8bc1\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u68c0\u7d22\u4efb\u610f\u6587\u4ef6\u7684\u5185\u5bb9\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": "SpamTitan\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "C/o Copperfasten SpamTitan 7.07"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-11700",
  "serverity": "\u4e2d",
  "submitTime": "2020-09-18",
  "title": "SpamTitan\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\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…