CNVD-2020-46563

Vulnerability from cnvd - Published: 2020-08-18
VLAI
Title
Embedthis Software GoAhead请求重放攻击漏洞
Description
Embedthis Software GoAhead是美国Embedthis Software公司的一款嵌入式Web服务器。 Embedthis Software GoAhead 5.1.2之前版本存在请求重放攻击漏洞,该漏洞源于GoAhead在Digest认证期间未能正确处理nonce值,攻击者可利用该漏洞对本地HTTP请求进行请求重放攻击。
Severity
Patch Name
Embedthis Software GoAhead请求重放攻击漏洞的补丁
Patch Description
Embedthis Software GoAhead是美国Embedthis Software公司的一款嵌入式Web服务器。 Embedthis Software GoAhead 5.1.2之前版本存在请求重放攻击漏洞,该漏洞源于GoAhead在Digest认证期间未能正确处理nonce值,攻击者可利用该漏洞对本地HTTP请求进行请求重放攻击。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/embedthis/goahead-gpl/issues/3

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-15688
Impacted products
Name
Embedthis Software GoAhead <5.1.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-15688",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-15688"
    }
  },
  "description": "Embedthis Software GoAhead\u662f\u7f8e\u56fdEmbedthis Software\u516c\u53f8\u7684\u4e00\u6b3e\u5d4c\u5165\u5f0fWeb\u670d\u52a1\u5668\u3002\n\nEmbedthis Software GoAhead 5.1.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGoAhead\u5728Digest\u8ba4\u8bc1\u671f\u95f4\u672a\u80fd\u6b63\u786e\u5904\u7406nonce\u503c\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u672c\u5730HTTP\u8bf7\u6c42\u8fdb\u884c\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\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/embedthis/goahead-gpl/issues/3",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-46563",
  "openTime": "2020-08-18",
  "patchDescription": "Embedthis Software GoAhead\u662f\u7f8e\u56fdEmbedthis Software\u516c\u53f8\u7684\u4e00\u6b3e\u5d4c\u5165\u5f0fWeb\u670d\u52a1\u5668\u3002\r\n\r\nEmbedthis Software GoAhead 5.1.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGoAhead\u5728Digest\u8ba4\u8bc1\u671f\u95f4\u672a\u80fd\u6b63\u786e\u5904\u7406nonce\u503c\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u672c\u5730HTTP\u8bf7\u6c42\u8fdb\u884c\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\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": "Embedthis Software GoAhead\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Embedthis Software GoAhead \u003c5.1.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-15688",
  "serverity": "\u4e2d",
  "submitTime": "2020-07-24",
  "title": "Embedthis Software GoAhead\u8bf7\u6c42\u91cd\u653e\u653b\u51fb\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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