PYSEC-2026-1660 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...

Skops unsafe deserialization

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...

PYSEC-2026-1647 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 0.9.0 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 1.23.0 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 1.1.0 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 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...

PYSEC-2026-1651 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 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with...

PYSEC-2026-1643 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...

PYSEC-2026-1663 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...

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...

PYSEC-2026-1636 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...

PYSEC-2026-1648 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...

PYSEC-2026-1542 litellm passes untrusted data to `eval` function without sanitization

A remote code execution RCE vulnerability exists in the berriai/litellm project due to improper control of the generation of code when using the eval function unsafely in the litellm.getsecret method. Specifically, when the server utilizes Google KMS, untrusted data is passed to the eval function...

litellm passes untrusted data to `eval` function without sanitization

A remote code execution RCE vulnerability exists in the berriai/litellm project due to improper control of the generation of code when using the eval function unsafely in the litellm.getsecret method. Specifically, when the server utilizes Google KMS, untrusted data is passed to the eval function...

PYSEC-2026-1817 pyLoad open redirect vulnerability due to improper validation of the is_safe_url function

Summary Open redirect vulnerability due to incorrect validation of input values when redirecting users after login. Details pyload is validating URLs via the getredirecturl function when redirecting users at login. The URL entered in the next variable goes through the issafeurl function, where a...

pyLoad open redirect vulnerability due to improper validation of the is_safe_url function

SummaryOpen redirect vulnerability due to incorrect validation of input values when redirecting users after login. Detailspyload is validating URLs via the getredirecturl function when redirecting users at login.The URL entered in the next variable goes through the issafeurl function, where a lac...

Information disclosure in AccessControl

ImpactPython's "format" functionality allows someone controlling the format string to "read" objects accessible recursively via attribute access and subscription from accessible objects. Those attribute accesses and subscriptions use Python's full blown getattr and getitem, not the policy...

PYSEC-2026-1905 Scancode.io Reflected Cross-Site Scripting (XSS) in license endpoint

Summary In the /license/ endpoint, the detailed view key is not properly validated and sanitized, which can result in a potential cross-site scripting XSS vulnerability when attempting to access a detailed license view that does not exist. Details In the /license/ endpoint, the licensedetailsview...