PatchTheCVECVE-2024-5206: A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versi
CVE-2024-5206 is a medium-severity flaw (CVSS 4.7) affecting scikit-learn. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
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
Why this priority
- No elevated risk signals yet
A fixed release or distro patch exists.
Last updated 2026-06-17 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Am I affected?
Timeline
- Published CVE record published
- Updated Record last modified
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.
Quick answers
How do I fix CVE-2024-5206?
scikit-learn: upgrade to 1.5.0. Exact commands for each OS are on this page.
Is CVE-2024-5206 being exploited?
CVE-2024-5206 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.
What does CVE-2024-5206 affect?
CVE-2024-5206 affects scikit-learn. Severity is medium (CVSS 4.7). 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
How urgent is CVE-2024-5206?
Priority 19/100. No elevated risk signals yet.