Deserialization of Untrusted Data Affecting ydata-profiling package, versions [4.0.0,]
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Test your applications- Snyk ID SNYK-PYTHON-YDATAPROFILING-7212316
- published 5 Jun 2024
- disclosed 4 Jun 2024
- credit KASIMIR SCHULZ - HIDDENLAYER
Introduced: 4 Jun 2024
CVE-2024-37064 Open this link in a new tabHow to fix?
There is no fixed version for ydata-profiling.
Overview
ydata-profiling is a Generate profile report for pandas DataFrame
Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the read_pandas function in dataframe.py. An attacker can execute arbitrary code on the victim's system by supplying a specially crafted dataset.
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.