Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| scikit-learn | scikit-learn/scikit-learn | affected |
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No data.
No data available yet.
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2024-0161 | 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. |
Github GHSA |
GHSA-jw8x-6495-233v | scikit-learn sensitive data leakage vulnerability |
No CVSS v4.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.189% probability within 30 days)
Key SSVC decision points have not yet been added.
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
epss
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epss
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| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Scikit-learn
Scikit-learn scikit-learn |
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| Weaknesses | CWE-922 | |
| CPEs | cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:python:*:* | |
| Vendors & Products |
Scikit-learn
Scikit-learn scikit-learn |
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| Metrics |
cvssV3_1
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