CVE-2024-5206

unknown
Published 2024-06-06 ยท Modified 2024-10-24
CVSS v3
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CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
CVSS v4 NEW
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not yet in upstream
VIR risk
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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.

Predictions

Exploit likelihood
20%
Patch ETA
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Heuristic predictions, AS-IS, for prioritization only.

Mitigations

No mitigations published for this CVE yet.

The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or โ€” if you've already worked around this in production โ€” publish your fix to the community-verified tier.

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OS impact

debian Debian Affected 5 releases
VersionStatusFixed in
trixie Affected โ€”
sid Affected โ€”
forky Affected โ€”
bullseye Affected โ€”
bookworm Affected โ€”
suse SUSE Affected 1 release
VersionStatusFixed in
โ€” Affected โ€”

Package impact

EcosystemPackageVulnerableFixed
python PyPIscikit-learn<1.5.01.5.0
python PyPIscikit-learn<70ca21f106b603b611da73012c9ade7cd8e438b8||<1.5.070ca21f106b603b611da73012c9ade7cd8e438b8

References

Community-verified mitigations for this CVE will appear above when contributors publish them.

Verify integrity in audit chain (admin only). AS-IS.