4.7
CVE-2024-5206
- EPSS 0.04%
- Veröffentlicht 06.06.2024 19:16:06
- Zuletzt bearbeitet 21.11.2024 09:47:11
- Quelle security@huntr.dev
- CVE-Watchlists
- Unerledigt
LoginA 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Scikit-learn ≫ Scikit-learn SwPlatformpython Version < 1.5.0
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.04% | 0.108 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 4.7 | 1 | 3.6 |
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
|
| security@huntr.dev | 4.7 | 1 | 3.6 |
CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
|
CWE-921 Storage of Sensitive Data in a Mechanism without Access Control
The product stores sensitive information in a file system or device that does not have built-in access control.
CWE-922 Insecure Storage of Sensitive Information
The product stores sensitive information without properly limiting read or write access by unauthorized actors.