Vulnerability Description
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.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Scikit-Learn | Scikit-Learn | < 1.5.0 |
Related Weaknesses (CWE)
References
- https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9aPatch
- https://huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517cThird Party Advisory
- https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9aPatch
- https://huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517cThird Party Advisory
FAQ
What is CVE-2024-5206?
CVE-2024-5206 is a vulnerability with a CVSS score of 4.7 (MEDIUM). 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 a...
How severe is CVE-2024-5206?
CVE-2024-5206 has been rated MEDIUM with a CVSS base score of 4.7/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2024-5206?
Check the references section above for vendor advisories and patch information. Affected products include: Scikit-Learn Scikit-Learn.