CNVD-2021-27921
Vulnerability from cnvd - Published: 2021-04-13
VLAI
Title
Mark Text跨站脚本漏洞(CNVD-2021-27921)
Description
Mark Text是一款高性能的Markdown编辑器,基于Electron构建,运行于Mac、Windows和Linux平台,具有简洁的外观,专注于速度和可用性。
Mark Text在0.16.3及之前版本中存在跨站脚本漏洞,该漏洞与受影响版本未能正确过滤用户输入数据有关。攻击者可以利用该漏洞打开包含XSS有效负载的.md文件导致远程恶意代码执行,危害系统安全。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://github.com/marktext/marktext
Reference
https://github.com/marktext/marktext/issues/2548
Impacted products
| Name | Mark Text Mark Text <=0.16.3 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-29996",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29996"
}
},
"description": "Mark Text\u662f\u4e00\u6b3e\u9ad8\u6027\u80fd\u7684Markdown\u7f16\u8f91\u5668\uff0c\u57fa\u4e8eElectron\u6784\u5efa\uff0c\u8fd0\u884c\u4e8eMac\u3001Windows\u548cLinux\u5e73\u53f0\uff0c\u5177\u6709\u7b80\u6d01\u7684\u5916\u89c2\uff0c\u4e13\u6ce8\u4e8e\u901f\u5ea6\u548c\u53ef\u7528\u6027\u3002\n\nMark Text\u57280.16.3\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u4e0e\u53d7\u5f71\u54cd\u7248\u672c\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u7528\u6237\u8f93\u5165\u6570\u636e\u6709\u5173\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6253\u5f00\u5305\u542bXSS\u6709\u6548\u8d1f\u8f7d\u7684.md\u6587\u4ef6\u5bfc\u81f4\u8fdc\u7a0b\u6076\u610f\u4ee3\u7801\u6267\u884c\uff0c\u5371\u5bb3\u7cfb\u7edf\u5b89\u5168\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/marktext/marktext",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-27921",
"openTime": "2021-04-13",
"products": {
"product": "Mark Text Mark Text \u003c=0.16.3"
},
"referenceLink": "https://github.com/marktext/marktext/issues/2548",
"serverity": "\u4e2d",
"submitTime": "2021-04-09",
"title": "Mark Text\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-27921\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.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.