130 matches found
CVE-2024-37056
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37052
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...
CVE-2024-37052
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...
CVE-2024-37053
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...
CVE-2024-37053
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...
CVE-2024-37056
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37053
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...
CVE-2024-37053
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...
CVE-2024-37052
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...
CVE-2024-37052
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...
CVE-2024-37053: Deserialization of Untrusted Data
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...
PT-2024-27267
Name of the Vulnerable Software and Affected Versions MLflow versions 1.1.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflow...
PT-2024-27268
Name of the Vulnerable Software and Affected Versions MLflow versions 1.1.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflow...
CVE-2024-37056: Deserialization of Untrusted Data
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37052: Deserialization of Untrusted Data
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...
Security Bulletin: IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in scikit-learn
Summary IBM Watson Discovery for IBM Cloud Pak for Data contains a vulnerable version of scikit-learn. Vulnerability Details CVEID:CVE-2020-28975 DESCRIPTION: scikit-learn is vulnerable to a denial of service, caused by an error in svmpredictvalues in svm.cpp in Libsvm. By using a specially-craft...
Malicious code in scikit-learn-matplotlib (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis 14d5e86444b47f8ee729dcf7930f4ba68d938ea99b786e110e5d7bd53f081fa9 The OpenSSF Package Analysis project identified 'scikit-learn-matplotlib' @ 6.12.17 pypi as malicious. It is considered malicious because: - The...
MAL-2023-1405 Malicious code in scikit-learn-matplotlib (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis 14d5e86444b47f8ee729dcf7930f4ba68d938ea99b786e110e5d7bd53f081fa9 The OpenSSF Package Analysis project identified 'scikit-learn-matplotlib' @ 6.12.17 pypi as malicious. It is considered malicious because: - The...
Malicious code in beautifulsoup-scikit-learn (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis 6e35a9499d5b3efd34a3813328043f5f0132eef5cacc23f14dbaa2ba4e06ce43 The OpenSSF Package Analysis project identified 'beautifulsoup-scikit-learn' @ 2.4.9 pypi as malicious. It is considered malicious because: - Th...
Malicious code in sys-scikit-learn (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis a43a0e5d5c9f583954d954b1a27badf0220728b50a05983479b1e2e212e8c16e The OpenSSF Package Analysis project identified 'sys-scikit-learn' @ 17.8.18 pypi as malicious. It is considered malicious because: - The packag...