Vulnerability-Lookup

GHSA-9GR3-7897-PP7M

Vulnerability from github – Published: 2021-09-01 18:24 – Updated: 2021-08-31 20:01

Summary

XSS in Image Optimization API for Next.js

Details

Impact

Affected: All of the following must be true to be affected
- Next.js between version 10.0.0 and 11.1.0
- The next.config.js file has images.domains array assigned
- The image host assigned in images.domains allows user-provided SVG
Not affected: The next.config.js file has images.loader assigned to something other than default
Not affected: Deployments on Vercel are not affected

Patches

Next.js v11.1.1

Severity

7.5 (High)


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

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "next"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "10.0.0"
            },
            {
              "fixed": "11.1.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-39178"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-31T20:01:51Z",
    "nvd_published_at": "2021-08-31T00:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\n- **Affected:** All of the following must be true to be affected\n    - Next.js between version 10.0.0 and 11.1.0\n    - The `next.config.js` file has [`images.domains`](https://nextjs.org/docs/basic-features/image-optimization#domains) array assigned\n    - The image host assigned in [`images.domains`](https://nextjs.org/docs/basic-features/image-optimization#domains) allows user-provided SVG\n- **Not affected**: The `next.config.js` file has [`images.loader`](https://nextjs.org/docs/basic-features/image-optimization#loader) assigned to something other than default\n- **Not affected**: Deployments on [Vercel](https://vercel.com) are not affected\n\n### Patches\n[Next.js v11.1.1](https://github.com/vercel/next.js/releases/tag/v11.1.1)\n\n",
  "id": "GHSA-9gr3-7897-pp7m",
  "modified": "2021-08-31T20:01:51Z",
  "published": "2021-09-01T18:24:22Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vercel/next.js/security/advisories/GHSA-9gr3-7897-pp7m"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-39178"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vercel/next.js/pull/28620"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vercel/next.js/commit/7afc97c5744b38bdf36aa7f87625f438224688aa"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/vercel/next.js"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vercel/next.js/releases/tag/v11.1.1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "XSS in Image Optimization API for Next.js"
}

CVE-2021-39178 (GCVE-0-2021-39178)

Vulnerability from cvelistv5 – Published: 2021-08-30 23:55 – Updated: 2024-08-04 01:58

Title

XSS in Image Optimization API for Next.js versions between 10.0.0 and 11.1.0

Summary

Next.js is a React framework. Versions of Next.js between 10.0.0 and 11.0.0 contain a cross-site scripting vulnerability. In order for an instance to be affected by the vulnerability, the `next.config.js` file must have `images.domains` array assigned and the image host assigned in `images.domains` must allow user-provided SVG. If the `next.config.js` file has `images.loader` assigned to something other than default or the instance is deployed on Vercel, the instance is not affected by the vulnerability. The vulnerability is patched in Next.js version 11.1.1.

Severity

7.5 (High)


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

CWE

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

Assigner

GitHub_M mitre root Scorecard

References

2 references

URL	Tags
https://github.com/vercel/next.js/security/adviso…	x_refsource_CONFIRM
https://github.com/vercel/next.js/releases/tag/v11.1.1	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
vercel	next.js	Affected: >= 10.0.0, < 11.1.1

Show details on NVD website

JSON

To clipboard

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            "url": "https://github.com/vercel/next.js/security/advisories/GHSA-9gr3-7897-pp7m"
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            "url": "https://github.com/vercel/next.js/releases/tag/v11.1.1"
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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.

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.

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