CVSS3
Attack Vector
LOCAL
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
NONE
CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
AI Score
Confidence
High
EPSS
Percentile
9.0%
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.
OS | Version | Architecture | Package | Version | Filename |
---|---|---|---|---|---|
ubuntu | 18.04 | noarch | scikit-learn | < any | UNKNOWN |
ubuntu | 20.04 | noarch | scikit-learn | < any | UNKNOWN |
ubuntu | 22.04 | noarch | scikit-learn | < any | UNKNOWN |
ubuntu | 24.04 | noarch | scikit-learn | < any | UNKNOWN |
ubuntu | 14.04 | noarch | scikit-learn | < any | UNKNOWN |
ubuntu | 16.04 | noarch | scikit-learn | < any | UNKNOWN |
github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9ade7cd8e438b8
huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517c
launchpad.net/bugs/cve/CVE-2024-5206
nvd.nist.gov/vuln/detail/CVE-2024-5206
security-tracker.debian.org/tracker/CVE-2024-5206
www.cve.org/CVERecord?id=CVE-2024-5206