1361 matches found
CVE-2024-0520 Remote Code Execution due to Full Controlled File Write in mlflow/mlflow
A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command 'Command Injection' within the mlflow.data.httpdatasetsource.py module. Specifically, when loading a dataset from a source URL with an HTTP...
CVE-2024-0520
CVE-2024-0520 affects mlflow/mlflow v8.2.1, enabling remote code execution via command injection in mlflow.data.http_dataset_source.py when loading an HTTP URL dataset. The filename gathered from Content-Disposition or URL path is used to form the final file path without proper sanitization, allo...
CVE-2024-3099 Denial of Service and Data Model Poisoning via URL Encoding in mlflow/mlflow
A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service DoS as an authenticated user might not be able to use the intended model, as it will open a different model each time...
CVE-2024-3099
CVE-2024-3099 affects mlflow/mlflow 2.11.1 and is caused by inadequate validation of model names, allowing URL-encoded names to be treated as distinct from their decoded counterparts. This enables an attacker to create multiple models with the same name, leading to DoS (an authenticated user may ...
CVE-2024-3099 Denial of Service and Data Model Poisoning via URL Encoding in mlflow/mlflow
A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service DoS as an authenticated user might not be able to use the intended model, as it will open a different model each time...
MLflow Security Vulnerabilities
Mlflow is an open source platform for machine learning lifecycles. A security vulnerability exists in MLflow that stems from the discovery of a Local File Inclusion LFI vulnerability...
PT-2024-23711
Name of the Vulnerable Software and Affected Versions mlflow/mlflow version 2.11.1 Description A vulnerability in mlflow/mlflow allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service DoS as an authenticated user might not ...
Mlflow Security Vulnerabilities
Mlflow is an open source platform for machine learning lifecycles. A security vulnerability exists in Mlflow that stems from the ability to create multiple models with the same name using URL encoding, potentially leading to a denial of service...
PT-2024-22849 · Mlflow · Mlflow
Name of the Vulnerable Software and Affected Versions: mlflow/mlflow versions 2.9.2 through 2.11.2 Description: A Local File Inclusion LFI issue was identified, arising from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker c...
Mlflow Security Vulnerabilities
Mlflow is an open source platform for machine learning lifecycles. A security vulnerability exists in Mlflow that stems from special elements used in operating system commands that are not properly neutralized, which allows an attacker to exploit path traversal or absolute path techniques to enab...
MLFlow improper input validation
Remote Code Execution can occur in versions of the MLflow platform running version 1.11.0 or newer, enabling a maliciously crafted MLproject to execute arbitrary code on an end user’s system when run due to unfiltered input...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow 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 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run...
MLFlow unsafe deserialization
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...
a2 (>=0.1.0 <=0.3.17), abadpour (>=6.13.1 <=7.24.1) +946 more potentially affected by CVE-2024-37059 via mlflow (>=0.8.2 <=3.4.0)
mlflow PYPI version =0.8.2, =0.1.0, =6.13.1, =9.273.1, =1.1.0, =0.1.0, =0.1.0, =0.4.4, =0.3.0, =0.0.5, =1.0.0, =0.1.0, =1.1.1 - ai-helpers-pytorch-utils =0.1.0a1 - ailine-core =0.5.5 and more Source cves: CVE-2024-37059 Source advisory: OSV:GHSA-WF7F-8FXF-XFXC...
GHSA-WF7F-8FXF-XFXC vulnerabilities
Vulnerabilities for packages: mlflow...
GHSA-PQCV-QW2R-R859 vulnerabilities
Vulnerabilities for packages: mlflow...
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...
a2 (>=0.1.0 <=0.3.17), agentos (>=0.0.5 <=0.0.7) +164 more potentially affected by CVE-2024-37061 via mlflow (>=1.11.0 <=2.13.1)
mlflow PYPI version =1.11.0, =0.1.0, =0.0.5, =0.1.2, =1.0.72, =0.0.1, =1.0.72.1, =1.4.0, =0.2.5, =0.1.3, =3.0.0, =0.1.0, =0.3.5, =0.8.0, =1.0.0 and more Source cves: CVE-2024-37061 Source advisory: OSV:GHSA-PQCV-QW2R-R859...