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Medium

Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

Type: advisorySources: OSV

A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the `stop_words_` attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as the `stop_words_` attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based on the nature of the data being processed by the vectorizer.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2024-5206
Confirmed fixed CVEs
Not specified
Updated in this feed
3 Nov 2026, 16:39 UTC · Revision 1

Source evidence

Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

core-osv · Original source

Published 6 Jun 2024, 18:28 UTC

A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the `stop_words_` attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as the `stop_words_` attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based on the nature of the data being processed by the vectorizer.

osv:CVE-2024-5206
Complete source record
{
  "id": "07a2e300e6b45212f52ca7e1e0da0ffe1f8df39b71fb52cb345467cf435b74b4",
  "url": "https://osv.dev/vulnerability/CVE-2024-5206",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn",
    "summary": "A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the `stop_words_` attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as the `stop_words_` attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based on the nature of the data being processed by the vectorizer.",
    "evidence": "osv:CVE-2024-5206",
    "products": [],
    "severity": "medium",
    "structured": {
      "id": "CVE-2024-5206",
      "aliases": [
        "CVE-2024-5206",
        "GHSA-jw8x-6495-233v",
        "PYSEC-2024-110"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/scikit-learn/scikit-learn",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "b51d0c9648241d1fd53dc9151689f62a61633a3d"
                },
                {
                  "fixed": "70ca21f106b603b611da73012c9ade7cd8e438b8"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "cpe": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:python:*:*",
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "fixed": "1.5.0"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "range": [
                      {
                        "fixed": "70ca21f106b603b611da73012c9ade7cd8e438b8"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "0.19-branching",
            "0.17-branching",
            "0.15-branching",
            "0.13-branching",
            "0.12-branching",
            "0.11-branching",
            "0.11-beta",
            "0.3",
            "0.2",
            "0.2-beta",
            "0.1",
            "0.1-beta"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2024-5206.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:30.495319703Z",
      "provider": "osv",
      "references": [
        "https://huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517c",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/5xxx/CVE-2024-5206.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2024-5206",
        "https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9ade7cd8e438b8"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-921"
        ],
        "cna_assigner": "@huntr_ai",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/5xxx/CVE-2024-5206.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2024-5206",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 497503,
  "published_at": "2024-06-06T18:28:14.267+00:00"
}