Vulnerability-Lookup

GHSA-8X3H-CP2W-X59W

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

Details

In Vendure versions 0.1.0-alpha.2 to 1.5.1 are affected by Stored XSS vulnerability, where an attacker having catalog permission can upload a SVG file that contains malicious JavaScript into the “Assets” tab. The uploaded file will affect administrators as well as regular users.

Severity

5.4 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2022-23065"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-05-02T13:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In Vendure versions 0.1.0-alpha.2 to 1.5.1 are affected by Stored XSS vulnerability, where an attacker having catalog permission can upload a SVG file that contains malicious JavaScript into the \u201cAssets\u201d tab. The uploaded file will affect administrators as well as regular users.",
  "id": "GHSA-8x3h-cp2w-x59w",
  "modified": "2022-05-03T00:00:43Z",
  "published": "2022-05-03T00:00:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23065"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vendure-ecommerce/vendure/commit/69a44869112c0a5b836e2ddd3969ea9b533f51f0"
    },
    {
      "type": "WEB",
      "url": "https://www.whitesourcesoftware.com/vulnerability-database/CVE-2022-23065"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-23065 (GCVE-0-2022-23065)

Vulnerability from cvelistv5 – Published: 2022-05-02 12:30 – Updated: 2024-09-16 17:03

Title

Vendure - XSS via SVG File Upload

Summary

Severity

5.4 (Medium)


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

CWE

CWE-79 - Cross-site Scripting (XSS)

Assigner

Mend

References

2 references

URL	Tags
https://github.com/vendure-ecommerce/vendure/comm…	x_refsource_MISC
https://www.whitesourcesoftware.com/vulnerability…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
vendure-ecommerce	vendure	Affected: 0.1.0-alpha.2 , < unspecified (custom) Affected: unspecified , ≤ 1.5.1 (custom)

Date Public

2022-05-02 00:00

Credits

WhiteSource Vulnerability Research Team (WVR)

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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.