Vulnerability-Lookup

CNVD-2021-40782

Vulnerability from cnvd - Published: 2021-06-10

Title

Datasette跨站脚本漏洞

Description

Datasette是应用软件用于探索和发布数据的开源多功能工具。 Datasette 0.57和0.56.1存在跨站脚本漏洞，该漏洞?_trace=1输入验证错误。目前没有详细的漏洞细节提供。

Severity

中

Patch Name

Datasette跨站脚本漏洞的补丁

Patch Description

Datasette是应用软件用于探索和发布数据的开源多功能工具。 Datasette 0.57和0.56.1存在跨站脚本漏洞，该漏洞?_trace=1输入验证错误。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/simonw/datasette/security/advisories/GHSA-xw7c-jx9m-xh5g

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-32670

Impacted products

Name
['Datasette Datasette 0.57', 'Datasette Datasette 0.56.1']

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-32670"
    }
  },
  "description": "Datasette\u662f\u5e94\u7528\u8f6f\u4ef6\u7528\u4e8e\u63a2\u7d22\u548c\u53d1\u5e03\u6570\u636e\u7684\u5f00\u6e90\u591a\u529f\u80fd\u5de5\u5177\u3002\n\nDatasette 0.57\u548c0.56.1\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e?_trace=1\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/simonw/datasette/security/advisories/GHSA-xw7c-jx9m-xh5g",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-40782",
  "openTime": "2021-06-10",
  "patchDescription": "Datasette\u662f\u5e94\u7528\u8f6f\u4ef6\u7528\u4e8e\u63a2\u7d22\u548c\u53d1\u5e03\u6570\u636e\u7684\u5f00\u6e90\u591a\u529f\u80fd\u5de5\u5177\u3002\r\n\r\nDatasette 0.57\u548c0.56.1\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e?_trace=1\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u3002\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": "Datasette\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Datasette Datasette 0.57",
      "Datasette Datasette 0.56.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-32670",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-09",
  "title": "Datasette\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2021-32670 (GCVE-0-2021-32670)

Vulnerability from cvelistv5 – Published: 2021-06-07 21:20 – Updated: 2024-08-03 23:25

Title

Reflected cross-site scripting issue in Datasette

Summary

Datasette is an open source multi-tool for exploring and publishing data. The `?_trace=1` debugging feature in Datasette does not correctly escape generated HTML, resulting in a [reflected cross-site scripting](https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks) vulnerability. This vulnerability is particularly relevant if your Datasette installation includes authenticated features using plugins such as [datasette-auth-passwords](https://datasette.io/plugins/datasette-auth-passwords) as an attacker could use the vulnerability to access protected data. Datasette 0.57 and 0.56.1 both include patches for this issue. If you run Datasette behind a proxy you can workaround this issue by rejecting any incoming requests with `?_trace=` or `&_trace=` in their query string parameters.

Severity

7.2 (High)


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

CWE

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

Assigner

GitHub_M mitre root

References

5 references

URL	Tags
https://github.com/simonw/datasette/security/advi…	x_refsource_CONFIRM
https://github.com/simonw/datasette/issues/1360	x_refsource_MISC
https://datasette.io/plugins/datasette-auth-passwords	x_refsource_MISC
https://owasp.org/www-community/attacks/xss/#refl…	x_refsource_MISC
https://pypi.org/project/datasette/	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
simonw	datasette	Affected: < 0.56.1

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T23:25:31.015Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
          {
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            "url": "https://github.com/simonw/datasette/security/advisories/GHSA-xw7c-jx9m-xh5g"
          },
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            ],
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          },
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            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://datasette.io/plugins/datasette-auth-passwords"
          },
          {
            "tags": [
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            ],
            "url": "https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks"
          },
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            "tags": [
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    ],
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          "product": "datasette",
          "vendor": "simonw",
          "versions": [
            {
              "status": "affected",
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            }
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      ],
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          "lang": "en",
          "value": "Datasette is an open source multi-tool for exploring and publishing data. The `?_trace=1` debugging feature in Datasette does not correctly escape generated HTML, resulting in a [reflected cross-site scripting](https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks) vulnerability. This vulnerability is particularly relevant if your Datasette installation includes authenticated features using plugins such as [datasette-auth-passwords](https://datasette.io/plugins/datasette-auth-passwords) as an attacker could use the vulnerability to access protected data. Datasette 0.57 and 0.56.1 both include patches for this issue. If you run Datasette behind a proxy you can workaround this issue by rejecting any incoming requests with `?_trace=` or `\u0026_trace=` in their query string parameters."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.2,
            "baseSeverity": "HIGH",
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      ],
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        {
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            }
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        "shortName": "GitHub_M"
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          "url": "https://datasette.io/plugins/datasette-auth-passwords"
        },
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          "url": "https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks"
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          "tags": [
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          "url": "https://pypi.org/project/datasette/"
        }
      ],
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        "discovery": "UNKNOWN"
      },
      "title": "Reflected cross-site scripting issue in Datasette",
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        },
        "affects": {
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    "state": "PUBLISHED"
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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.