CLSA-2026-1787201491 TuxCare security update for scikit-learn (1 CVE)

TuxCare rebuilt scikit-learn to address 1 CVE. Fixed in 1.0.2.post2+tuxcare...

python313-scikit-learn-1.9.0-1.1 on GA media (moderate)

python313-scikit-learn-1.9.0-1.1 on GA media Announcement ID: openSUSE-SU-2026:11498-1 Rating: moderate Cross-References: CVE-2024-5206 CVSS scores: CVE-2024-5206 SUSE : 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N Affected Products: openSUSE Tumbleweed An update that solves one vulnerability...

OPENSUSE-SU-2026:11498-1 python313-scikit-learn-1.9.0-1.1 on GA media

These are all security issues fixed in the python313-scikit-learn-1.9.0-1.1 package on the GA media of openSUSE Tumbleweed...

PT-2026-76424

These are all security issues fixed in the python313-scikit-learn-1.9.0-1.1 package on the GA media of openSUSE Tumbleweed...

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

PYSEC-2026-1636 MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

PYSEC-2026-1643 MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

EUVD-2025-22763

Malicious code in bioql PyPI...

EUVD-2024-1966

Malicious code in bioql PyPI...

EUVD-2024-1907

Malicious code in bioql PyPI...

EUVD-2024-0161

Malicious code in bioql PyPI...

EUVD-2024-1956

Malicious code in bioql PyPI...

Linux Distros Unpatched Vulnerability : CVE-2024-5206

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - 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 fix...

Linux Distros Unpatched Vulnerability : CVE-2020-13092

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes ...

CVE-2025-54413

A flaw was found in skops. An inconsistency in MethodNode allows access to unexpected object fields through dot notation when a specially crafted model file is loaded. This issue allows arbitrary code execution at load time...

CVE-2025-54412

skops is a Python library which helps users share and ship their scikit-learn based models. Versions 0.11.0 and below contain a inconsistency in the OperatorFuncNode which can be exploited to hide the execution of untrusted operator methods. This can then be used in a code reuse attack to invoke...

TencentOS Server 4: python-scikit-learn (TSSA-2024:0487)

The version of Tencent Linux installed on the remote TencentOS Server 4 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the TSSA-2024:0487 advisory. Package updates are available for TencentOS Server 4 that fix the following vulnerabilities:...

CVE-2020-13092

scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load function is documented as unsafe and it is the user's...

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: an Empirical Study on Popular Open-Source Projects

Command injection vulnerabilities are a significant security threat in dynamic languages like Python, particularly in widely used open-source projects where security issues can have extensive impact. With the proven effectiveness of Large Language ModelsLLMs in code-related tasks, such as testing...