Vulnerability from bitnami_vulndb
Published
2025-08-11 13:52
Modified
2025-11-06 13:25
Summary
Email header injection due to unquoted newlines
Details

There is a MEDIUM severity vulnerability affecting CPython.

The email module didn’t properly quote newlines for email headers when serializing an email message allowing for header injection when an email is serialized.

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "libpython",
        "purl": "pkg:bitnami/libpython"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.8.20"
            },
            {
              "introduced": "3.9.0"
            },
            {
              "fixed": "3.9.20"
            },
            {
              "introduced": "3.10.0"
            },
            {
              "fixed": "3.10.15"
            },
            {
              "introduced": "3.11.0"
            },
            {
              "fixed": "3.11.10"
            },
            {
              "introduced": "3.12.0"
            },
            {
              "fixed": "3.12.5"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:L",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-6923"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:python:python:*:*:*:*:*:*:*:*"
    ],
    "severity": "Medium"
  },
  "details": "There is a MEDIUM severity vulnerability affecting CPython.\n\nThe \nemail module didn\u2019t properly quote newlines for email headers when \nserializing an email message allowing for header injection when an email\n is serialized.",
  "id": "BIT-libpython-2024-6923",
  "modified": "2025-11-06T13:25:46.476Z",
  "published": "2025-08-11T13:52:53.987Z",
  "references": [
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/08/01/3"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/08/02/2"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/06f28dc236708f72871c64d4bc4b4ea144c50147"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/097633981879b3c9de9a1dd120d3aa585ecc2384"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/4766d1200fdf8b6728137aa2927a297e224d5fa7"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/4aaa4259b5a6e664b7316a4d60bdec7ee0f124d0"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/b158a76ce094897c870fb6b3de62887b7ccc33f1"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/f7be505d137a22528cb0fc004422c0081d5d90e6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/commit/f7c0f09e69e950cf3c5ada9dbde93898eb975533"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/issues/121650"
    },
    {
      "type": "WEB",
      "url": "https://github.com/python/cpython/pull/122233"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/01/msg00005.html"
    },
    {
      "type": "WEB",
      "url": "https://mail.python.org/archives/list/security-announce@python.org/thread/QH3BUOE2DYQBWP7NAQ7UNHPPOELKISRW/"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6923"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20240926-0003/"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2024/12/msg00000.html"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Email header injection due to unquoted newlines"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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