CVE-2024-43598

CVE-2024-43598 is a LightGBM remote code execution vulnerability with multiple public advisories. IBM bulletins describe the issue affecting IBM Watson Studio in Cloud Pak for Data (v4.0–5.2.x ranges) and LightGBM wheel components, labeling it as a remote code execution risk (CWE-122) caused by d...

LightGBM Remote Code Execution Vulnerability

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PT-2024-8498 · Lightgbm · Lightgbm

Name of the Vulnerable Software and Affected Versions: LightGBM affected versions not specified Description: The issue is related to a buffer overflow in memory, which can be exploited by a remote attacker to execute arbitrary code. Recommendations: At the moment, there is no information about a...

KLA77111 ACE vulnerabilities in Microsoft Open Source Software

Remote code execution vulnerabilities were found in Microsoft Open Source Software. Malicious users can exploit these vulnerabilities to execute arbitrary code. Below is a complete list of vulnerabilities: 1. A remote code execution vulnerability in TorchGeo can be exploited remotely to execute...

Microsoft LightGBM 安全漏洞

Microsoft LightGBM is a gradient boosting framework using a tree-based learning algorithm from Microsoft USA. A remote code execution vulnerability exists in Microsoft LightGBM. An attacker could exploit this vulnerability to execute arbitrary code on a system...

NuGet Package 'Microsoft.ML.LightGbm' Detection

The remote host has a 'Microsoft.ML.LightGbm' with a Verified NuGet package status and is installed on the remote host. Nessus has not tested for this issue but has instead relied only on the application's self-reported version number. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if...

BIT-MLFLOW-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...

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...

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...

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-2024-37056

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-2024-37056

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-2024-37056

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...

PT-2024-27271

Name of the Vulnerable Software and Affected Versions MLflow versions 1.23.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user's system when interacted with. Recommendations Fo...

SoReL-20M: A Huge Dataset of 20 Million Malware Samples Released Online

Cybersecurity firms Sophos and ReversingLabs on Monday jointly released the first-ever production-scale malware research dataset to be made available to the general public that aims to build effective defenses and drive industry-wide improvements in security detection and response. "SoReL-20M"...

How artificial intelligence stopped an Emotet outbreak

At 12:46 a.m. local time on February 3, a Windows 7 Pro customer in North Carolina became the first would-be victim of a new malware attack campaign for Trojan:Win32/Emotet. In the next 30 minutes, the campaign tried to attack over a thousand potential victims, all of whom were instantly and...