K000139901: PyYAML vulnerability CVE-2017-18342

Security Advisory Description In PyYAML before 5.1, the yaml.load API could execute arbitrary code if used with untrusted data. The load function has been deprecated in version 5.1 and the 'UnsafeLoader' has been introduced for backward compatibility with the function. CVE-2017-18342 Impact A...

Security Bulletin: IBM i is vulnerable to a denial of service of network ports due to deserialization of untrusted data in Management Central [CVE-2024-31879].

Summary IBM i is vulnerable to a denial of service of network ports due to deserialization of untrusted data in Management Central as described in the vulnerability details section. This bulletin identifies the steps to take to address the vulnerability as described in the remediation/fixes...

GHSA-8WH2-6QHJ-H7J9 iq80 Snappy out-of-bounds read when uncompressing data, leading to JVM crash

Summary iq80 Snappy performs out-of-bounds read access when uncompressing certain data, which can lead to a JVM crash. Details When uncompressing certain data, Snappy tries to read outside the bounds of the given byte arrays. Because Snappy uses the JDK class sun.misc.Unsafe to speed up memory...

CVE-2024-33568

Improper Limitation of a Pathname to a Restricted Directory 'Path Traversal', Deserialization of Untrusted Data vulnerability in BdThemes Element Pack Pro allows Path Traversal, Object Injection.This issue affects Element Pack Pro: from n/a before 7.19.3...

GHSA-CWGG-W6MP-W9HG MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with...

GHSA-76CG-CFHX-373F 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...

GHSA-GHV6-9R9J-WH4J MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc 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 0.9.0 or newer, enabling a maliciously uploaded PyFunc 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...

MLFlow unsafe deserialization

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...

GHSA-X38X-G6GR-JQFF MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with...

GHSA-7P8J-QV6X-F4G4 MLFlow unsafe deserialization

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...

GHSA-43C4-9QGJ-X742 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...

CVE-2024-37065

Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded...

CVE-2024-37064

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded...

CVE-2024-37058

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37060

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run...

CVE-2024-37059

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37062

Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded...

CVE-2024-37060

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run...