PYSEC-2026-1254 Cleanlab Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 2.4.0 or newer of the Cleanlab project, enabling a maliciously crafted datalab.pkl file to run arbitrary code on an end user’s system when the data directory is loaded...

Deserialization of Untrusted Data

Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the BaseSerialization.deserialize process. An attacker can execute arbitrary code on the API Server or Scheduler by embedding a malicious trigger into a serialized DAG, which is then deserialized and...

PYSEC-2026-2062 ydata unsafe deserialization

Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded...

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...

PYSEC-2026-1928 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-2026-2061 ydata unsafe deserialization

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset 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...

PYSEC-2026-1654 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...

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-2026-1643 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...

PYSEC-2026-1644 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...

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...

PYSEC-2026-1978 Transformers Deserialization of Untrusted Data vulnerability

The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the loadrepocheckpoint function of the TFPreTrainedModel class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting...

Transformers Deserialization of Untrusted Data vulnerability

The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the loadrepocheckpoint function of the TFPreTrainedModel class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting...

PYSEC-2026-1858 `qiskit_ibm_runtime.RuntimeDecoder` can execute arbitrary code

Summary deserializing json data using qiskitibmruntime.RuntimeDecoder can be made to execute arbitrary code given a correctly formatted input string Details RuntimeDecoder is supposed to be able to deserialize JSON strings containing various special types encoded via RuntimeEncoder. However, one...

PYSEC-2026-1484 JWCrypto vulnerable to JWT bomb Attack in `deserialize` function

Affected version Vendor: https://github.com/latchset/jwcrypto Version: 1.5.5 Description An attacker can cause a DoS attack by passing in a malicious JWE Token with a high compression ratio. When the server processes this Token, it will consume a lot of memory and processing time. Poc python from...

PYSEC-2026-1256 Allegro AI ClearML vulnerable to deserialization of untrusted data

Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with...

PYSEC-2026-1079 ai-flow Deserialization of Untrusted Data vulnerability

A vulnerability was found in flink-extended ai-flow 0.3.1. It has been declared as critical. Affected by this vulnerability is the function cloudpickle.loads of the file \aiflow\cli\commands\workflowcommand.py. The manipulation leads to deserialization. The attack can be launched remotely. The...