CNVD-2020-21506
Vulnerability from cnvd - Published: 2020-04-03
VLAI
Title
dot package代码注入漏洞
Description
dot package是一款JavaScript模板引擎。
dot package v1.1.2版本中存在代码注入漏洞。该漏洞源于外部输入数据构造代码段的过程中,网络系统或产品未正确过滤其中的特殊元素。攻击者可利用该漏洞生成非法的代码段,修改网络系统或组件的预期的执行控制流。
Severity
高
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://www.npmjs.com/package/dot
Reference
https://hackerone.com/reports/390929
https://nvd.nist.gov/vuln/detail/CVE-2020-8141
Impacted products
| Name | dot package dot package v1.1.2 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-8141"
}
},
"description": "dot package\u662f\u4e00\u6b3eJavaScript\u6a21\u677f\u5f15\u64ce\u3002\n\ndot package v1.1.2\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5916\u90e8\u8f93\u5165\u6570\u636e\u6784\u9020\u4ee3\u7801\u6bb5\u7684\u8fc7\u7a0b\u4e2d\uff0c\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u6b63\u786e\u8fc7\u6ee4\u5176\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u751f\u6210\u975e\u6cd5\u7684\u4ee3\u7801\u6bb5\uff0c\u4fee\u6539\u7f51\u7edc\u7cfb\u7edf\u6216\u7ec4\u4ef6\u7684\u9884\u671f\u7684\u6267\u884c\u63a7\u5236\u6d41\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\n\r\nhttps://www.npmjs.com/package/dot",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-21506",
"openTime": "2020-04-03",
"products": {
"product": "dot package dot package v1.1.2"
},
"referenceLink": "https://hackerone.com/reports/390929\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2020-8141",
"serverity": "\u9ad8",
"submitTime": "2020-03-17",
"title": "dot package\u4ee3\u7801\u6ce8\u5165\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
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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Vulnerability timeline
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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.