CNVD-2018-20081
Vulnerability from cnvd - Published: 2018-09-28
VLAI
Title
Python拒绝服务漏洞（CNVD-2018-20081）
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中存在安全漏洞。攻击者可借助特制的XML文档利用该漏洞造成Expat拒绝服务（CPU和RAM大量消耗）。
Severity
中
Patch Name
Python拒绝服务漏洞（CNVD-2018-20081）的补丁
Patch 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中存在安全漏洞。攻击者可借助特制的XML文档利用该漏洞造成Expat拒绝服务（CPU和RAM大量消耗）。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://bugs.python.org/issue34623
Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-14647
Impacted products
| Name | ['python Python 3.8', 'python Python 3.7', 'python Python 3.6', 'python Python 3.5', 'python Python 3.4', 'python Python 2.7'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "105396"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2018-14647",
"cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-14647"
}
},
"description": "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\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684XML\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210Expat\u62d2\u7edd\u670d\u52a1\uff08CPU\u548cRAM\u5927\u91cf\u6d88\u8017\uff09\u3002",
"discovererName": "The Python Security Response Team.",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://bugs.python.org/issue34623",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-20081",
"openTime": "2018-09-28",
"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\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684XML\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210Expat\u62d2\u7edd\u670d\u52a1\uff08CPU\u548cRAM\u5927\u91cf\u6d88\u8017\uff09\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\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2018-20081\uff09\u7684\u8865\u4e01",
"products": {
"product": [
"python Python 3.8",
"python Python 3.7",
"python Python 3.6",
"python Python 3.5",
"python Python 3.4",
"python Python 2.7"
]
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-14647",
"serverity": "\u4e2d",
"submitTime": "2018-09-26",
"title": "Python\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2018-20081\uff09"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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.
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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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