CNVD-2020-16708

Vulnerability from cnvd - Published: 2020-03-11
VLAI
Title
urllib3 library拒绝服务漏洞
Description
urllib3是一款Python HTTP库。该产品具有线程安全连接池、文件发布支持等。 urllib3 library 1.25.2版本至1.25.7版本(Python)中的util/url.py文件的‘_encode_invalid_chars’函数存在安全漏洞。攻击者可利用该漏洞造成拒绝服务。
Severity
低
Patch Name
urllib3 library拒绝服务漏洞的补丁
Patch Description
urllib3是一款Python HTTP库。该产品具有线程安全连接池、文件发布支持等。 urllib3 library 1.25.2版本至1.25.7版本(Python)中的util/url.py文件的‘_encode_invalid_chars’函数存在安全漏洞。攻击者可利用该漏洞造成拒绝服务。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: https://github.com/urllib3/urllib3/blob/master/CHANGES.rst

Reference
https://github.com/urllib3/urllib3/commit/a74c9cfbaed9f811e7563cfc3dce894928e0221a
Impacted products
Name
Python urllib3 >=1.25.2,<=1.25.7
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-7212",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-7212"
    }
  },
  "description": "urllib3\u662f\u4e00\u6b3ePython HTTP\u5e93\u3002\u8be5\u4ea7\u54c1\u5177\u6709\u7ebf\u7a0b\u5b89\u5168\u8fde\u63a5\u6c60\u3001\u6587\u4ef6\u53d1\u5e03\u652f\u6301\u7b49\u3002\n\nurllib3 library 1.25.2\u7248\u672c\u81f31.25.7\u7248\u672c\uff08Python\uff09\u4e2d\u7684util/url.py\u6587\u4ef6\u7684\u2018_encode_invalid_chars\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "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\nhttps://github.com/urllib3/urllib3/blob/master/CHANGES.rst",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-16708",
  "openTime": "2020-03-11",
  "patchDescription": "urllib3\u662f\u4e00\u6b3ePython HTTP\u5e93\u3002\u8be5\u4ea7\u54c1\u5177\u6709\u7ebf\u7a0b\u5b89\u5168\u8fde\u63a5\u6c60\u3001\u6587\u4ef6\u53d1\u5e03\u652f\u6301\u7b49\u3002\r\n\r\nurllib3 library 1.25.2\u7248\u672c\u81f31.25.7\u7248\u672c\uff08Python\uff09\u4e2d\u7684util/url.py\u6587\u4ef6\u7684\u2018_encode_invalid_chars\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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": "urllib3 library\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Python urllib3 \u003e=1.25.2\uff0c\u003c=1.25.7"
  },
  "referenceLink": "https://github.com/urllib3/urllib3/commit/a74c9cfbaed9f811e7563cfc3dce894928e0221a",
  "serverity": "\u4f4e",
  "submitTime": "2020-03-10",
  "title": "urllib3 library\u62d2\u7edd\u670d\u52a1\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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