Vulnerability-Lookup

CNVD-2022-46169

Vulnerability from cnvd - Published: 2022-06-17

Title

Rosariosis跨站脚本漏洞（CNVD-2022-46169）

Description

RosarioSIS(学生信息系统)，专为学校的管理而设计，旨在满足管理员、教师，支持人员、家长、学生和文秘人员的最重要需求，然而，它还增加了许多学生信息系统中通常没有发现的组件。 Rosariosis 9.0之前的版本存在跨站脚本漏洞，攻击者可以利用该漏洞注入恶意的JavaScript程序，窃取其他用户cookie等。

Severity

低

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/francoisjacquet/rosariosis

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-1997

Impacted products

Name
RosarioSIS RosarioSIS <9.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-1997",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-1997"
    }
  },
  "description": "RosarioSIS(\u5b66\u751f\u4fe1\u606f\u7cfb\u7edf)\uff0c\u4e13\u4e3a\u5b66\u6821\u7684\u7ba1\u7406\u800c\u8bbe\u8ba1\uff0c\u65e8\u5728\u6ee1\u8db3\u7ba1\u7406\u5458\u3001\u6559\u5e08\uff0c\u652f\u6301\u4eba\u5458\u3001\u5bb6\u957f\u3001\u5b66\u751f\u548c\u6587\u79d8\u4eba\u5458\u7684\u6700\u91cd\u8981\u9700\u6c42\uff0c\u7136\u800c\uff0c\u5b83\u8fd8\u589e\u52a0\u4e86\u8bb8\u591a\u5b66\u751f\u4fe1\u606f\u7cfb\u7edf\u4e2d\u901a\u5e38\u6ca1\u6709\u53d1\u73b0\u7684\u7ec4\u4ef6\u3002\n\nRosariosis 9.0\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u6076\u610f\u7684JavaScript\u7a0b\u5e8f\uff0c\u7a83\u53d6\u5176\u4ed6\u7528\u6237cookie\u7b49\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\nhttps://github.com/francoisjacquet/rosariosis",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-46169",
  "openTime": "2022-06-17",
  "products": {
    "product": "RosarioSIS RosarioSIS \u003c9.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-1997",
  "serverity": "\u4f4e",
  "submitTime": "2022-06-09",
  "title": "Rosariosis\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-46169\uff09"
}

CVE-2022-1997 (GCVE-0-2022-1997)

Vulnerability from cvelistv5 – Published: 2022-06-06 10:10 – Updated: 2024-08-03 00:24

Title

Cross-site Scripting (XSS) - Stored in francoisjacquet/rosariosis

Summary

Cross-site Scripting (XSS) - Stored in GitHub repository francoisjacquet/rosariosis prior to 9.0.

Severity

8.8 (High)


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

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

@huntrdev

References

2 references

URL	Tags
https://huntr.dev/bounties/28861ae9-7b09-45b7-a00…	x_refsource_CONFIRM
https://github.com/francoisjacquet/rosariosis/com…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
francoisjacquet	francoisjacquet/rosariosis	Affected: unspecified , < 9.0 (custom)

Show details on NVD website

JSON

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{
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T00:24:44.189Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://huntr.dev/bounties/28861ae9-7b09-45b7-a003-eccf903db71d"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/francoisjacquet/rosariosis/commit/6b22c0b5b40fad891c8cf9e7eeff3e42a35c0bf8"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "francoisjacquet/rosariosis",
          "vendor": "francoisjacquet",
          "versions": [
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              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
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      ],
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        }
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            "attackComplexity": "LOW",
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            "availabilityImpact": "LOW",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:L",
            "version": "3.0"
          }
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      "problemTypes": [
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            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2022-06-06T10:10:10.000Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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      },
      "references": [
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          ],
          "url": "https://huntr.dev/bounties/28861ae9-7b09-45b7-a003-eccf903db71d"
        },
        {
          "tags": [
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          ],
          "url": "https://github.com/francoisjacquet/rosariosis/commit/6b22c0b5b40fad891c8cf9e7eeff3e42a35c0bf8"
        }
      ],
      "source": {
        "advisory": "28861ae9-7b09-45b7-a003-eccf903db71d",
        "discovery": "EXTERNAL"
      },
      "title": "Cross-site Scripting (XSS) - Stored in francoisjacquet/rosariosis",
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security@huntr.dev",
          "ID": "CVE-2022-1997",
          "STATE": "PUBLIC",
          "TITLE": "Cross-site Scripting (XSS) - Stored in francoisjacquet/rosariosis"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
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                      "product_name": "francoisjacquet/rosariosis",
                      "version": {
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                          }
                        ]
                      }
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              }
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            }
          ]
        },
        "impact": {
          "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:L",
            "version": "3.0"
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        "problemtype": {
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                  "value": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)"
                }
              ]
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  "cveMetadata": {
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    "assignerShortName": "@huntrdev",
    "cveId": "CVE-2022-1997",
    "datePublished": "2022-06-06T10:10:10.000Z",
    "dateReserved": "2022-06-06T00:00:00.000Z",
    "dateUpdated": "2024-08-03T00:24:44.189Z",
    "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.