Vulnerability-Lookup

GHSA-7JVX-F994-RFW2

Vulnerability from github – Published: 2022-05-03 00:00 – Updated: 2022-05-03 21:09

Summary

materialize-css vulnerable to cross-site Scripting (XSS) due to improper escape of user input

Details

All versions of package materialize-css are vulnerable to Cross-site Scripting (XSS) due to improper escape of user input (such as <not-a-tag />) that is being parsed as HTML/JavaScript, and inserted into the Document Object Model (DOM). This vulnerability can be exploited when the user-input is provided to the autocomplete component.

Severity

5.4 (Medium)


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

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "materialize-css"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-25349"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-05-03T21:09:12Z",
    "nvd_published_at": "2022-05-01T16:15:00Z",
    "severity": "MODERATE"
  },
  "details": "All versions of package materialize-css are vulnerable to Cross-site Scripting (XSS) due to improper escape of user input (such as \u0026lt;not-a-tag /\u0026gt;) that is being parsed as HTML/JavaScript, and inserted into the Document Object Model (DOM). This vulnerability can be exploited when the user-input is provided to the autocomplete component.",
  "id": "GHSA-7jvx-f994-rfw2",
  "modified": "2022-05-03T21:09:12Z",
  "published": "2022-05-03T00:00:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-25349"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Dogfalo/materialize"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Dogfalo/materialize/blob/v1-dev/js/autocomplete.js%23L285%20"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-2766498"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JS-MATERIALIZECSS-2324800"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "materialize-css vulnerable to cross-site Scripting (XSS) due to improper escape of user input"
}

CVE-2022-25349 (GCVE-0-2022-25349)

Vulnerability from cvelistv5 – Published: 2022-05-01 15:30 – Updated: 2024-09-17 00:55

Title

Cross-site Scripting (XSS)

Summary

Severity

5.4 (Medium)


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

CWE

Cross-site Scripting (XSS)

Assigner

snyk mitre root

References

3 references

URL	Tags
https://snyk.io/vuln/SNYK-JS-MATERIALIZECSS-2324800	x_refsource_MISC
https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-2766498	x_refsource_MISC
https://github.com/Dogfalo/materialize/blob/v1-de…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	materialize-css	Affected: 0 , < unspecified (custom)

Date Public

2022-05-01 00:00

Credits

Paul Wheeler

Show details on NVD website

JSON

To clipboard

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            "url": "https://snyk.io/vuln/SNYK-JS-MATERIALIZECSS-2324800"
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                "vendor_name": "n/a"
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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.
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GHSA-7JVX-F994-RFW2

CVE-2022-25349 (GCVE-0-2022-25349)

Tags

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