Vulnerability-Lookup

GHSA-F772-66G8-Q5H3

Vulnerability from github – Published: 2022-08-18 19:02 – Updated: 2023-01-19 01:01

Summary

Nodejs ‘undici’ vulnerable to CRLF Injection via Content-Type

Details

Impact

=< undici@5.8.0 users are vulnerable to CRLF Injection on headers when using unsanitized input as request headers, more specifically, inside the content-type header.

Example:

import { request } from 'undici'

const unsanitizedContentTypeInput =  'application/json\r\n\r\nGET /foo2 HTTP/1.1'

await request('http://localhost:3000, {
    method: 'GET',
    headers: {
      'content-type': unsanitizedContentTypeInput
    },
})

The above snippet will perform two requests in a single request API call:

1) http://localhost:3000/ 2) http://localhost:3000/foo2

Patches

This issue was patched in Undici v5.8.1

Workarounds

Sanitize input when sending content-type headers using user input.

For more information

If you have any questions or comments about this advisory:

Open an issue in undici repository
To make a report, follow the SECURITY document

Severity

5.3 (Medium)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 5.8.1"
      },
      "package": {
        "ecosystem": "npm",
        "name": "undici"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "5.8.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35948"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-74",
      "CWE-93"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-08-18T19:02:56Z",
    "nvd_published_at": "2022-08-15T11:21:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\n\n`=\u003c undici@5.8.0` users are vulnerable to _CRLF Injection_ on headers when using unsanitized input as request headers, more specifically, inside the `content-type` header.\n\nExample:\n\n```\nimport { request } from \u0027undici\u0027\n\nconst unsanitizedContentTypeInput =  \u0027application/json\\r\\n\\r\\nGET /foo2 HTTP/1.1\u0027\n\nawait request(\u0027http://localhost:3000, {\n    method: \u0027GET\u0027,\n    headers: {\n      \u0027content-type\u0027: unsanitizedContentTypeInput\n    },\n})\n```\n\nThe above snippet will perform two requests in a single `request` API call:\n\n1) `http://localhost:3000/`\n2) `http://localhost:3000/foo2`\n\n### Patches\n\nThis issue was patched in Undici v5.8.1\n\n### Workarounds\n\nSanitize input when sending content-type headers using user input.\n\n## For more information\nIf you have any questions or comments about this advisory:\n\n- Open an issue in [undici repository](https://github.com/nodejs/undici/issues)\n- To make a report, follow the [SECURITY](https://github.com/nodejs/node/blob/HEAD/SECURITY.md) document",
  "id": "GHSA-f772-66g8-q5h3",
  "modified": "2023-01-19T01:01:59Z",
  "published": "2022-08-18T19:02:56Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/nodejs/undici/security/advisories/GHSA-f772-66g8-q5h3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35948"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nodejs/undici/commit/66165d604fd0aee70a93ed5c44ad4cc2df395f80"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/nodejs/undici"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nodejs/undici/releases/tag/v5.8.2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Nodejs \u2018undici\u2019 vulnerable to CRLF Injection via Content-Type"
}

CVE-2022-35948 (GCVE-0-2022-35948)

Vulnerability from cvelistv5 – Published: 2022-08-13 00:00 – Updated: 2025-04-22 17:42

Title

CRLF Injection in Nodejs ‘undici’ via Content-Type

Summary

undici is an HTTP/1.1 client, written from scratch for Node.js.`=< undici@5.8.0` users are vulnerable to _CRLF Injection_ on headers when using unsanitized input as request headers, more specifically, inside the `content-type` header. Example: ``` import { request } from 'undici' const unsanitizedContentTypeInput = 'application/json\r\n\r\nGET /foo2 HTTP/1.1' await request('http://localhost:3000, { method: 'GET', headers: { 'content-type': unsanitizedContentTypeInput }, }) ``` The above snippet will perform two requests in a single `request` API call: 1) `http://localhost:3000/` 2) `http://localhost:3000/foo2` This issue was patched in Undici v5.8.1. Sanitize input when sending content-type headers using user input as a workaround.

Severity

5.3 (Medium)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-22 15:39 UTC

CWE

CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')
CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/nodejs/undici/releases/tag/v5.8.2
https://github.com/nodejs/undici/security/advisor…
https://github.com/nodejs/undici/commit/66165d604…

Impacted products

1 product

Vendor	Product	Version
nodejs	undici	Affected: =< 5.8.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
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        "providerMetadata": {
          "dateUpdated": "2024-08-03T09:51:59.082Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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            "tags": [
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            "url": "https://github.com/nodejs/undici/releases/tag/v5.8.2"
          },
          {
            "tags": [
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            ],
            "url": "https://github.com/nodejs/undici/security/advisories/GHSA-f772-66g8-q5h3"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/nodejs/undici/commit/66165d604fd0aee70a93ed5c44ad4cc2df395f80"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2022-35948",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-22T15:39:48.293625Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-22T17:42:05.598Z",
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          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "undici",
          "vendor": "nodejs",
          "versions": [
            {
              "status": "affected",
              "version": "=\u003c 5.8.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "undici is an HTTP/1.1 client, written from scratch for Node.js.`=\u003c undici@5.8.0` users are vulnerable to _CRLF Injection_ on headers when using unsanitized input as request headers, more specifically, inside the `content-type` header. Example: ``` import { request } from \u0027undici\u0027 const unsanitizedContentTypeInput = \u0027application/json\\r\\n\\r\\nGET /foo2 HTTP/1.1\u0027 await request(\u0027http://localhost:3000, { method: \u0027GET\u0027, headers: { \u0027content-type\u0027: unsanitizedContentTypeInput }, }) ``` The above snippet will perform two requests in a single `request` API call: 1) `http://localhost:3000/` 2) `http://localhost:3000/foo2` This issue was patched in Undici v5.8.1. Sanitize input when sending content-type headers using user input as a workaround."
        }
      ],
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
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              "lang": "en",
              "type": "CWE"
            }
          ]
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        {
          "descriptions": [
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              "cweId": "CWE-74",
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            }
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      "references": [
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        },
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          "url": "https://github.com/nodejs/undici/security/advisories/GHSA-f772-66g8-q5h3"
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      "source": {
        "advisory": "GHSA-f772-66g8-q5h3",
        "discovery": "UNKNOWN"
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      "title": "CRLF Injection in Nodejs \u2018undici\u2019 via Content-Type"
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  },
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  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

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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.
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