Deserialization of Untrusted Data Affecting kedro package, versions [,1.3.0)


Severity

Recommended
0.0
critical
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.4% (61st percentile)

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  • Snyk IDSNYK-PYTHON-KEDRO-15875404
  • published3 Apr 2026
  • disclosed3 Apr 2026
  • creditWernerina

Introduced: 3 Apr 2026

NewCVE-2026-35171  (opens in a new tab)
CWE-502  (opens in a new tab)

How to fix?

Upgrade kedro to version 1.3.0 or higher.

Overview

kedro is a Kedro helps you build production-ready data and analytics pipelines

Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the logging.config.dictConfig function when user-controlled input is used for the logging configuration file path, which is loaded without validation. An attacker can execute arbitrary system commands by supplying a malicious logging configuration that leverages the special () key to instantiate arbitrary callables during application startup.

Workaround

This vulnerability can be mitigated by restricting write access to logging configuration files, avoiding the use of externally supplied or dynamically generated logging configs, not allowing untrusted input to control the relevant environment variable, and manually validating logging YAML to ensure it does not contain the () key.

Details

Serialization is a process of converting an object into a sequence of bytes which can be persisted to a disk or database or can be sent through streams. The reverse process of creating object from sequence of bytes is called deserialization. Serialization is commonly used for communication (sharing objects between multiple hosts) and persistence (store the object state in a file or a database). It is an integral part of popular protocols like Remote Method Invocation (RMI), Java Management Extension (JMX), Java Messaging System (JMS), Action Message Format (AMF), Java Server Faces (JSF) ViewState, etc.

Deserialization of untrusted data (CWE-502) is when the application deserializes untrusted data without sufficiently verifying that the resulting data will be valid, thus allowing the attacker to control the state or the flow of the execution.

CVSS Base Scores

version 4.0
version 3.1