CNVD-2026-35676
Vulnerability from cnvd - Published: 2026-09-01
VLAI
Title
Membership Management System跨站脚本漏洞(CNVD-2026-35676)
Description
Membership Management System是CodeAstro公司开源的一套会员管理软件。
Membership Management System存在跨站脚本漏洞,该漏洞源于add_members.php和edit_member.php的address参数对用户提供的数据缺乏有效过滤与转义,目前没有详细的漏洞细节提供。
Severity
中
Formal description
目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://codeastro.com/
Reference
https://github.com/anoncoder01/PHP_CodeAstro_Stored_XSS/blob/master/vulnerabilities/XSS_1.md
Impacted products
| Name | Membership management system Membership Management System 1.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2024-46236",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-46236"
}
},
"description": "Membership Management System\u662fCodeAstro\u516c\u53f8\u5f00\u6e90\u7684\u4e00\u5957\u4f1a\u5458\u7ba1\u7406\u8f6f\u4ef6\u3002\n\nMembership Management System\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eadd_members.php\u548cedit_member.php\u7684address\u53c2\u6570\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://codeastro.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-35676",
"openTime": "2026-09-01",
"products": {
"product": "Membership management system Membership Management System 1.0"
},
"referenceLink": "https://github.com/anoncoder01/PHP_CodeAstro_Stored_XSS/blob/master/vulnerabilities/XSS_1.md",
"serverity": "\u4e2d",
"submitTime": "2024-10-23",
"title": "Membership Management System\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2026-35676\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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