CNVD-2020-53323

Vulnerability from cnvd - Published: 2020-09-23
VLAI
Title
Cesanta Mongoose缓冲区溢出漏洞
Description
Cesanta Mongoose是爱尔兰Cesanta公司的一套嵌入式服务器库,它包括TCP、HTTP客户端和服务器、WenSocket客户端和服务器等功能。 Cesanta Mongoose 6.18版本存在缓冲区溢出漏洞。该漏洞源于mg_get_http_heade函数,攻击者可利用该漏洞精心制作的HTTP标头可以利用此bug。
Severity
中
Patch Name
Cesanta Mongoose缓冲区溢出漏洞的补丁
Patch Description
Cesanta Mongoose是爱尔兰Cesanta公司的一套嵌入式服务器库,它包括TCP、HTTP客户端和服务器、WenSocket客户端和服务器等功能。 Cesanta Mongoose 6.18版本存在缓冲区溢出漏洞。该漏洞源于mg_get_http_heade函数,攻击者可利用该漏洞精心制作的HTTP标头可以利用此bug。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://github.com/cesanta/mongoose/issues/1135

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-25756
Impacted products
Name
Cesanta Mongoose Cesanta Mongoose 6.18
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-25756",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-25756"
    }
  },
  "description": "Cesanta Mongoose\u662f\u7231\u5c14\u5170Cesanta\u516c\u53f8\u7684\u4e00\u5957\u5d4c\u5165\u5f0f\u670d\u52a1\u5668\u5e93\uff0c\u5b83\u5305\u62ecTCP\u3001HTTP\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u3001WenSocket\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u7b49\u529f\u80fd\u3002\n\nCesanta Mongoose 6.18\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8emg_get_http_heade\u51fd\u6570\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7cbe\u5fc3\u5236\u4f5c\u7684HTTP\u6807\u5934\u53ef\u4ee5\u5229\u7528\u6b64bug\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://github.com/cesanta/mongoose/issues/1135",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-53323",
  "openTime": "2020-09-23",
  "patchDescription": "Cesanta Mongoose\u662f\u7231\u5c14\u5170Cesanta\u516c\u53f8\u7684\u4e00\u5957\u5d4c\u5165\u5f0f\u670d\u52a1\u5668\u5e93\uff0c\u5b83\u5305\u62ecTCP\u3001HTTP\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u3001WenSocket\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u7b49\u529f\u80fd\u3002\r\n\r\nCesanta Mongoose 6.18\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8emg_get_http_heade\u51fd\u6570\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7cbe\u5fc3\u5236\u4f5c\u7684HTTP\u6807\u5934\u53ef\u4ee5\u5229\u7528\u6b64bug\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": "Cesanta Mongoose\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Cesanta Mongoose Cesanta Mongoose 6.18"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-25756",
  "serverity": "\u4e2d",
  "submitTime": "2020-09-22",
  "title": "Cesanta Mongoose\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}



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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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