CNVD-2021-101681

Vulnerability from cnvd - Published: 2021-12-23
VLAI
Title
NumPy存在未明漏洞
Description
NumPy是一个Python科学计算包。该产品支持大量的维度数组与矩阵计算,同时针对数据运算提供大量的数学函数库。 NumPy 1.19存在安全漏洞,该漏洞源于numpy存在空指针解引用漏洞。在软件中的PyArray_DescrNew函数中,由于缺少返回值验证,导致了空指针解引用漏洞、攻击者可利用该漏洞通过重复创建排序数组来进行DoS攻击。
Severity
中
Formal description

目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://github.com/numpy/numpy

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-41495
Impacted products
Name
NumPy NumPy <=1.19.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-41495"
    }
  },
  "description": "NumPy\u662f\u4e00\u4e2aPython\u79d1\u5b66\u8ba1\u7b97\u5305\u3002\u8be5\u4ea7\u54c1\u652f\u6301\u5927\u91cf\u7684\u7ef4\u5ea6\u6570\u7ec4\u4e0e\u77e9\u9635\u8ba1\u7b97\uff0c\u540c\u65f6\u9488\u5bf9\u6570\u636e\u8fd0\u7b97\u63d0\u4f9b\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\u5e93\u3002\n\nNumPy 1.19\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8enumpy\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u5728\u8f6f\u4ef6\u4e2d\u7684PyArray_DescrNew\u51fd\u6570\u4e2d\uff0c\u7531\u4e8e\u7f3a\u5c11\u8fd4\u56de\u503c\u9a8c\u8bc1\uff0c\u5bfc\u81f4\u4e86\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3001\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u91cd\u590d\u521b\u5efa\u6392\u5e8f\u6570\u7ec4\u6765\u8fdb\u884cDoS\u653b\u51fb\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://github.com/numpy/numpy",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-101681",
  "openTime": "2021-12-23",
  "products": {
    "product": "NumPy NumPy \u003c=1.19.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-41495",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-21",
  "title": "NumPy\u5b58\u5728\u672a\u660e\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

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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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