Vulnerability-Lookup

CNVD-2022-20688

Vulnerability from cnvd - Published: 2022-03-18

Title

Microweber跨站脚本漏洞（CNVD-2022-20688）

Description

Microweber是一个基于PHP Laravel框架的拖放式网站构建器和CMS。 Microweber存在跨站脚本漏洞，攻击者可利用此漏洞上传带有XSS有效负载的.[az]html 文件（例如 ahtml、bhtml、chtml、ddhtml，只要它以 html 结尾）。上传后，访问带有恶意html的URL能执行恶意javascript，以用于获取用户敏感信息以及构造钓鱼邮件攻击。目前没有详细的漏洞细节提供。

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://github.com/microweber/microweber

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-0930

Impacted products

Name
Microweber Microweber <1.2.12

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-0930",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-0930"
    }
  },
  "description": "Microweber\u662f\u4e00\u4e2a\u57fa\u4e8ePHP Laravel\u6846\u67b6\u7684\u62d6\u653e\u5f0f\u7f51\u7ad9\u6784\u5efa\u5668\u548cCMS\u3002\n\nMicroweber\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u4e0a\u4f20\u5e26\u6709XSS\u6709\u6548\u8d1f\u8f7d\u7684.[az]html \u6587\u4ef6\uff08\u4f8b\u5982 ahtml\u3001bhtml\u3001chtml\u3001ddhtml\uff0c\u53ea\u8981\u5b83\u4ee5 html \u7ed3\u5c3e\uff09\u3002\u4e0a\u4f20\u540e\uff0c\u8bbf\u95ee\u5e26\u6709\u6076\u610fhtml\u7684URL\u80fd\u6267\u884c\u6076\u610fjavascript\uff0c\u4ee5\u7528\u4e8e\u83b7\u53d6\u7528\u6237\u654f\u611f\u4fe1\u606f\u4ee5\u53ca\u6784\u9020\u9493\u9c7c\u90ae\u4ef6\u653b\u51fb\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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://github.com/microweber/microweber",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-20688",
  "openTime": "2022-03-18",
  "products": {
    "product": "Microweber Microweber \u003c1.2.12"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-0930",
  "serverity": "\u9ad8",
  "submitTime": "2022-03-14",
  "title": "Microweber\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-20688\uff09"
}

CVE-2022-0930 (GCVE-0-2022-0930)

Vulnerability from cvelistv5 – Published: 2022-03-12 13:20 – Updated: 2024-08-02 23:47

Title

File upload filter bypass leading to stored XSS in microweber/microweber

Summary

File upload filter bypass leading to stored XSS in GitHub repository microweber/microweber prior to 1.2.12.

Severity

8 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

CWE

CWE-434 - Unrestricted Upload of File with Dangerous Type

Assigner

@huntrdev

References

2 references

URL	Tags
https://huntr.dev/bounties/d184ce19-9608-42f1-bc3…	x_refsource_CONFIRM
https://github.com/microweber/microweber/commit/3…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
microweber	microweber/microweber	Affected: unspecified , < 1.2.12 (custom)

Show details on NVD website

JSON

To clipboard

{
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T23:47:42.841Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://huntr.dev/bounties/d184ce19-9608-42f1-bc3d-06ece2d9a993"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/microweber/microweber/commit/33eb4cc0f80c1f86388c1862a8aee1061fa5d72e"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "microweber/microweber",
          "vendor": "microweber",
          "versions": [
            {
              "lessThan": "1.2.12",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
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      ],
      "descriptions": [
        {
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          "value": "File upload filter bypass leading to stored XSS in GitHub repository microweber/microweber prior to 1.2.12."
        }
      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
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            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2022-03-12T13:20:09.000Z",
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        "shortName": "@huntrdev"
      },
      "references": [
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            "x_refsource_CONFIRM"
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          "url": "https://huntr.dev/bounties/d184ce19-9608-42f1-bc3d-06ece2d9a993"
        },
        {
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          ],
          "url": "https://github.com/microweber/microweber/commit/33eb4cc0f80c1f86388c1862a8aee1061fa5d72e"
        }
      ],
      "source": {
        "advisory": "d184ce19-9608-42f1-bc3d-06ece2d9a993",
        "discovery": "EXTERNAL"
      },
      "title": "File upload filter bypass leading to stored XSS in microweber/microweber",
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security@huntr.dev",
          "ID": "CVE-2022-0930",
          "STATE": "PUBLIC",
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        },
        "affects": {
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                    {
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                      "version": {
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                          }
                        ]
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              }
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            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
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            "userInteraction": "REQUIRED",
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            },
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    "assignerShortName": "@huntrdev",
    "cveId": "CVE-2022-0930",
    "datePublished": "2022-03-12T13:20:09.000Z",
    "dateReserved": "2022-03-11T00:00:00.000Z",
    "dateUpdated": "2024-08-02T23:47:42.841Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

Detection rules are retrieved from Rulezet.

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.

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.