CNVD-2015-07865
Vulnerability from cnvd - Published: 2015-12-01
VLAI
Title
python-django日期模板过滤器信息泄露漏洞
Description
Django是开源的Python Web应用开发框架。
python-django的日期模板过滤器存在安全漏洞。远程攻击者利用此漏洞可获取应用设置内的敏感信息。
Severity
中
Patch Name
python-django日期模板过滤器信息泄露漏洞的补丁
Patch Description
Django是开源的Python Web应用开发框架。
python-django的日期模板过滤器存在安全漏洞。远程攻击者利用此漏洞可获取应用设置内的敏感信息。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
目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： https://www.djangoproject.com/weblog/2015/nov/24/security-releases-issued/
Reference
https://www.djangoproject.com/weblog/2015/nov/24/security-releases-issued/
Impacted products
| Name | ['Django Django', 'Django Django 1.9', 'Django Django \r\n1.8', 'Django Django \r\n 1.7'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2015-8213"
}
},
"description": "Django\u662f\u5f00\u6e90\u7684Python Web\u5e94\u7528\u5f00\u53d1\u6846\u67b6\u3002\r\n\r\npython-django\u7684\u65e5\u671f\u6a21\u677f\u8fc7\u6ee4\u5668\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u53ef\u83b7\u53d6\u5e94\u7528\u8bbe\u7f6e\u5185\u7684\u654f\u611f\u4fe1\u606f\u3002",
"discovererName": "Ryan Butterfield",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://www.djangoproject.com/weblog/2015/nov/24/security-releases-issued/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2015-07865",
"openTime": "2015-12-01",
"patchDescription": "Django\u662f\u5f00\u6e90\u7684Python Web\u5e94\u7528\u5f00\u53d1\u6846\u67b6\u3002\r\n\r\npython-django\u7684\u65e5\u671f\u6a21\u677f\u8fc7\u6ee4\u5668\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u53ef\u83b7\u53d6\u5e94\u7528\u8bbe\u7f6e\u5185\u7684\u654f\u611f\u4fe1\u606f\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-django\u65e5\u671f\u6a21\u677f\u8fc7\u6ee4\u5668\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Django Django",
"Django Django 1.9",
"Django Django \r\n1.8",
"Django Django \r\n 1.7"
]
},
"referenceLink": "https://www.djangoproject.com/weblog/2015/nov/24/security-releases-issued/",
"serverity": "\u4e2d",
"submitTime": "2015-11-30",
"title": "python-django\u65e5\u671f\u6a21\u677f\u8fc7\u6ee4\u5668\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}
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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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