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-2024-0520

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...

a2 (>=0.1.0, <=0.3.17), agentos (>=0.0.5, <=0.0.7) +170 more potentially affected by CVE-2024-0520 via mlflow (>=0.8.2, <=2.8.1)

mlflow PYPI version =0.8.2, =0.1.0, =0.0.5, =1.0.1, =0.1.2, =0.1.0, =1.0.18.2, =0.0.1, =1.0.41, =1.4.0, =3.0.0, =0.1.2, =0.3.5, =0.8.0, =1.0.0 - cortic 0.1.0 and more Source cves: CVE-2024-0520 Source advisory: MEND:CVE-2024-0520...

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...

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...

a2 (>=0.1.0, <=0.3.17), agentos (>=0.0.5, <=0.0.7) +183 more potentially affected by CVE-2024-3099 via mlflow (>=0.8.2, <=2.11.1)

mlflow PYPI version =0.8.2, =0.1.0, =0.0.5, =1.0.0, =1.0.1, =0.1.2, =0.1.0, =1.0.18.2, =0.0.1, =1.0.41, =1.4.0, =3.0.0, =0.1.2, =0.3.5, =0.3.8 and more Source cves: CVE-2024-3099 Source advisory: MEND:CVE-2024-3099...

CVE-2024-3099

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-2024-0520: Improper Limitation of a Pathname to a Restricted Directory

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...

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...

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 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...

CVE-2024-3099: Undefined Behavior for Input to API

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...

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 ...

CVE-2024-2928: Path Traversal: '\..\filename'

A Local File Inclusion LFI vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker can...

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...

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 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 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...