CVE-2024-5206
scikit-learn sensitive data leakage vulnerability
描述
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.
如何修補 CVE-2024-5206
要修補 CVE-2024-5206,請將受影響套件升級到下列已修補版本。
- —未列出修補版本
- —升級至 1.5.0 或更新版本
- —升級至 70ca21f106b603b611da73012c9ade7cd8e438b8 或更新版本
CVE-2024-5206 正在被利用嗎?
低 — EPSS 為 0.0%,目前沒有觀察到大規模利用活動。
受影響套件(3)
- from 0
- from 0, < 1.5.0
- from 0, < 70ca21f106b603b611da73012c9ade7cd8e438b8 | from 0, < 1.5.0
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.3 | CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N |