CVE-2025-15031: Improper Limitation of a Pathname to a Restricted Directory

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

PT-2026-26162

Name of the Vulnerable Software and Affected Versions MLflow affected versions not specified Description A flaw exists in the pyfunc extraction process within MLflow that can allow for arbitrary file writes. This occurs because of inadequate handling of entries within tar archives, specifically...

Deserialization Of Untrusted Data

mlflow is vulnerable to Deserialization of Untrusted Data. The vulnerability is caused by a lack of proper validation of untrusted data in the loadmodel function within the pmdarima/init.py file, allowing an attacker to execute arbitrary code by injecting a malicious pickle object into a PyFunc...

BIT-MLFLOW-2024-37054

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...

Deserialization Of Untrusted Data

mlflow is vulnerable to Deserialization of Untrusted Data. The vulnerability is caused due to inadequate input validation in the loadmodel function within mlflow/pytorch/init.py. This allows an attacker to execute arbitrary code on the victim's system by injecting a malicious pickle object into a...

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...

CVE-2024-37054

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...

CVE-2024-37054

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...

CVE-2024-37054

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...

CVE-2024-37054: Deserialization of Untrusted Data

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...

PT-2024-27269

Name of the Vulnerable Software and Affected Versions MLflow platform versions 0.9.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflo...

BIT-TENSORFLOW-2022-41908 `CHECK` fail via inputs in `PyFunc` in Tensorflow

TensorFlow is an open source platform for machine learning. An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also...

Google TensorFlow Input Validation Error Vulnerability (CNVD-2023-15779)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. An input validation error vulnerability exists in Google TensorFlow, which stems from the fact that an input "token" that is not a UTF-8 byte string will fail in the "PyFunc", an attacker can use this...

`CHECK` fail via inputs in `PyFunc`

Impact An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. python import tensorflow as tf value = tf.constantvalue=1,2 token = b'\xb0' dataType = tf.int32 tf.rawops.PyFuncinput=value,token=token,Tout=dataType Patches We have patched the issue in GitHub...

PT-2022-26139

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow version 2.10.1 TensorFlow version 2.9.3 TensorFlow version 2.8.4 Description TensorFlow is an open source platform for machine learning. An input token that is not a UTF-8 bytestring will trigger a...

CVE-2022-41908 `CHECK` fail via inputs in `PyFunc` in Tensorflow

TensorFlow is an open source platform for machine learning. An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also...