CNVD-2020-04719
Vulnerability from cnvd - Published: 2020-02-12
VLAI
Title
Support Incident Tracker跨站脚本漏洞(CNVD-2020-04719)
Description
Support Incident Tracker(SiT!)是一款基于PHP和MySQL的技术支持电话/电子邮件跟踪系统。
SiT! 3.67版本中的search_incidents_advanced.php页面的‘search_id’参数存在跨站脚本漏洞,该漏洞源于WEB应用缺少对客户端数据的正确验证,攻击者可利用该漏洞执行客户端代码。
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://sitracker.org/
Reference
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-20220
https://nvd.nist.gov/vuln/detail/CVE-2019-20220
Impacted products
| Name | Support Incident Tracker Support Incident Tracker (SiT!) 3.67 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-20220",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-20220"
}
},
"description": "Support Incident Tracker\uff08SiT!\uff09\u662f\u4e00\u6b3e\u57fa\u4e8ePHP\u548cMySQL\u7684\u6280\u672f\u652f\u6301\u7535\u8bdd/\u7535\u5b50\u90ae\u4ef6\u8ddf\u8e2a\u7cfb\u7edf\u3002\n\nSiT! 3.67\u7248\u672c\u4e2d\u7684search_incidents_advanced.php\u9875\u9762\u7684\u2018search_id\u2019\u53c2\u6570\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u7f3a\u5c11\u5bf9\u5ba2\u6237\u7aef\u6570\u636e\u7684\u6b63\u786e\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u5ba2\u6237\u7aef\u4ee3\u7801\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://sitracker.org/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-04719",
"openTime": "2020-02-12",
"products": {
"product": "Support Incident Tracker Support Incident Tracker (SiT!) 3.67"
},
"referenceLink": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-20220\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-20220",
"serverity": "\u4e2d",
"submitTime": "2020-01-02",
"title": "Support Incident Tracker\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2020-04719\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
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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.