Vulnerability-Lookup

CNVD-2020-53314

Vulnerability from cnvd - Published: 2020-09-23

Title

Python代码问题漏洞（CNVD-2020-53314）

Description

Python是Python软件基金会的一套开源的、面向对象的程序设计语言。该语言具有可扩展、支持模块和包、支持多种平台等特点。 Python（Windows）中存在代码问题漏洞，该漏洞源于python3X.dll对python3.dll加载时使用无效的搜索路径，攻击者可利用该漏洞使其加载恶意的python3.dll。

Severity

中

Patch Name

Python代码问题漏洞（CNVD-2020-53314）的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://bugs.python.org/issue29778

Impacted products

Name
['Python Python >=3.6，<=3.6.10', 'Python Python >=3.7，<=3.7.8', 'Python Python >=3.8，<=3.8.4rc1', 'Python Python >=3.9，<=3.9.0b4']

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JSON

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{
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    "cve": {
      "cveNumber": "CVE-2020-15523"
    }
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-53314",
  "openTime": "2020-09-23",
  "patchDescription": "Python\u662fPython\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u5f00\u6e90\u7684\u3001\u9762\u5411\u5bf9\u8c61\u7684\u7a0b\u5e8f\u8bbe\u8ba1\u8bed\u8a00\u3002\u8be5\u8bed\u8a00\u5177\u6709\u53ef\u6269\u5c55\u3001\u652f\u6301\u6a21\u5757\u548c\u5305\u3001\u652f\u6301\u591a\u79cd\u5e73\u53f0\u7b49\u7279\u70b9\u3002\r\n\r\nPython\uff08Windows\uff09\u4e2d\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8epython3X.dll\u5bf9python3.dll\u52a0\u8f7d\u65f6\u4f7f\u7528\u65e0\u6548\u7684\u641c\u7d22\u8def\u5f84\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u5176\u52a0\u8f7d\u6076\u610f\u7684python3.dll\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": "Python\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2020-53314\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Python Python \u003e=3.6\uff0c\u003c=3.6.10",
      "Python Python \u003e=3.7\uff0c\u003c=3.7.8",
      "Python Python \u003e=3.8\uff0c\u003c=3.8.4rc1",
      "Python Python \u003e=3.9\uff0c\u003c=3.9.0b4"
    ]
  },
  "serverity": "\u4e2d",
  "submitTime": "2020-07-06",
  "title": "Python\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2020-53314\uff09"
}

CVE-2020-15523 (GCVE-0-2020-15523)

Vulnerability from cvelistv5 – Published: 2020-07-04 22:54 – Updated: 2024-08-04 13:15

Summary

In Python 3.6 through 3.6.10, 3.7 through 3.7.8, 3.8 through 3.8.4rc1, and 3.9 through 3.9.0b4 on Windows, a Trojan horse python3.dll might be used in cases where CPython is embedded in a native application. This occurs because python3X.dll may use an invalid search path for python3.dll loading (after Py_SetPath has been used). NOTE: this issue CANNOT occur when using python.exe from a standard (non-embedded) Python installation on Windows.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://bugs.python.org/issue29778	x_refsource_MISC
https://github.com/python/cpython/pull/21297	x_refsource_MISC
https://security.netapp.com/advisory/ntap-2021031…	x_refsource_CONFIRM

Show details on NVD website

JSON

To clipboard

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            "url": "https://github.com/python/cpython/pull/21297"
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            ],
            "url": "https://security.netapp.com/advisory/ntap-20210312-0004/"
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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.