Vulnerability-Lookup

CNVD-2022-19512

Vulnerability from cnvd - Published: 2022-03-15

Title

VIewComponent跨站脚本漏洞

Description

VIewComponent是一个在 Ruby on Rails 中构建可重用、可测试和封装的视图组件的框架。 VIewComponent存在跨站脚本漏洞，该漏洞源于通过用户输入接收并作为插值参数传递给translat方法的数据在显示之前未正确清理，目前没有详细漏洞细节提供。

Severity

中

Patch Name

VIewComponent跨站脚本漏洞的补丁

Patch Description

VIewComponent是一个在 Ruby on Rails 中构建可重用、可测试和封装的视图组件的框架。 VIewComponent存在跨站脚本漏洞，该漏洞源于通过用户输入接收并作为插值参数传递给translat方法的数据在显示之前未正确清理，目前没有详细漏洞细节提供。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://github.com/github/view_component/security/advisories/GHSA-cm9w-c4rj-r2cf

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-24722

Impacted products

Name
['VIewComponent VIewComponent 2.31.2', 'VIewComponent VIewComponent <2.49.1']

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-24722"
    }
  },
  "description": "VIewComponent\u662f\u4e00\u4e2a\u5728 Ruby on Rails \u4e2d\u6784\u5efa\u53ef\u91cd\u7528\u3001\u53ef\u6d4b\u8bd5\u548c\u5c01\u88c5\u7684\u89c6\u56fe\u7ec4\u4ef6\u7684\u6846\u67b6\u3002\n\nVIewComponent\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u901a\u8fc7\u7528\u6237\u8f93\u5165\u63a5\u6536\u5e76\u4f5c\u4e3a\u63d2\u503c\u53c2\u6570\u4f20\u9012\u7ed9translat\u65b9\u6cd5\u7684\u6570\u636e\u5728\u663e\u793a\u4e4b\u524d\u672a\u6b63\u786e\u6e05\u7406\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\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://github.com/github/view_component/security/advisories/GHSA-cm9w-c4rj-r2cf",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-19512",
  "openTime": "2022-03-15",
  "patchDescription": "VIewComponent\u662f\u4e00\u4e2a\u5728 Ruby on Rails \u4e2d\u6784\u5efa\u53ef\u91cd\u7528\u3001\u53ef\u6d4b\u8bd5\u548c\u5c01\u88c5\u7684\u89c6\u56fe\u7ec4\u4ef6\u7684\u6846\u67b6\u3002\r\n\r\nVIewComponent\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u901a\u8fc7\u7528\u6237\u8f93\u5165\u63a5\u6536\u5e76\u4f5c\u4e3a\u63d2\u503c\u53c2\u6570\u4f20\u9012\u7ed9translat\u65b9\u6cd5\u7684\u6570\u636e\u5728\u663e\u793a\u4e4b\u524d\u672a\u6b63\u786e\u6e05\u7406\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\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": "VIewComponent\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "VIewComponent VIewComponent 2.31.2",
      "VIewComponent VIewComponent \u003c2.49.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-24722",
  "serverity": "\u4e2d",
  "submitTime": "2022-03-04",
  "title": "VIewComponent\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2022-24722 (GCVE-0-2022-24722)

Vulnerability from cvelistv5 – Published: 2022-03-02 22:40 – Updated: 2025-04-23 18:59

Title

Cross-site Scripting in view_component

Summary

VIewComponent is a framework for building view components in Ruby on Rails. Versions prior to 2.31.2 and 2.49.1 contain a cross-site scripting vulnerability that has the potential to impact anyone using translations with the view_component gem. Data received via user input and passed as an interpolation argument to the `translate` method is not properly sanitized before display. Versions 2.31.2 and 2.49.1 have been released and fully mitigate the vulnerability. As a workaround, avoid passing user input to the `translate` function, or sanitize the inputs before passing them.

Severity

8.1 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-23 15:55 UTC

CWE

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

Assigner

GitHub_M mitre root

References

4 references

URL	Tags
https://github.com/github/view_component/security…	x_refsource_CONFIRM
https://github.com/github/view_component/commit/3…	x_refsource_MISC
https://github.com/github/view_component/releases…	x_refsource_MISC
https://github.com/github/view_component/releases…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
github	view_component	Affected: >= 2.31.0, < 2.31.2 Affected: >= 2.32.0, < 2.49.1

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JSON

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          },
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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.