CNVD-2025-22314

Vulnerability from cnvd - Published: 2025-09-24
VLAI
Title
Selesta Visual Access Manager跨站脚本漏洞(CNVD-2025-22314)
Description
Selesta Visual Access Manager是Selesta公司的一个可视访问管理器。 Selesta Visual Access Manager存在跨站脚本漏洞,该漏洞源于s_monitor_map.php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
Patch Name
Selesta Visual Access Manager跨站脚本漏洞(CNVD-2025-22314)的补丁
Patch Description
Selesta Visual Access Manager是Selesta公司的一个可视访问管理器。 Selesta Visual Access Manager存在跨站脚本漏洞,该漏洞源于s_monitor_map.php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。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

厂商已发布了漏洞修复程序,请及时关注更新: https://www.seling.it/product/vam/

Reference
https://gitlab.com/daniele_m/cve-list/-/blob/main/README.md
Impacted products
Name
Selesta Visual Access Manager <4.42.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-42247",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-42247"
    }
  },
  "description": "Selesta Visual Access Manager\u662fSelesta\u516c\u53f8\u7684\u4e00\u4e2a\u53ef\u89c6\u8bbf\u95ee\u7ba1\u7406\u5668\u3002\n\nSelesta Visual Access Manager\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8es_monitor_map.php\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": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.seling.it/product/vam/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-22314",
  "openTime": "2025-09-24",
  "patchDescription": "Selesta Visual Access Manager\u662fSelesta\u516c\u53f8\u7684\u4e00\u4e2a\u53ef\u89c6\u8bbf\u95ee\u7ba1\u7406\u5668\u3002\r\n\r\nSelesta Visual Access Manager\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8es_monitor_map.php\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\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": "Selesta Visual Access Manager\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2025-22314\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Selesta Visual Access Manager \u003c4.42.2"
  },
  "referenceLink": "https://gitlab.com/daniele_m/cve-list/-/blob/main/README.md",
  "serverity": "\u4e2d",
  "submitTime": "2025-01-16",
  "title": "Selesta Visual Access Manager\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2025-22314\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…