Deserialization of Untrusted Data Affecting fickling package, versions [,0.1.7)


Severity

Recommended
0.0
high
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

Exploit Maturity
Proof of Concept
EPSS
0.07% (21st percentile)

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  • Snyk IDSNYK-PYTHON-FICKLING-14912437
  • published13 Jan 2026
  • disclosed9 Jan 2026
  • creditApollyon

Introduced: 9 Jan 2026

CVE-2026-22612  (opens in a new tab)
CWE-502  (opens in a new tab)

How to fix?

Upgrade fickling to version 0.1.7 or higher.

Overview

fickling is an A static analyzer and interpreter for Python pickle data

Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the analysis of pickle files, where import nodes for certain modules such as builtins are not emitted in the abstract syntax tree, resulting in the security analysis being unable to detect dangerous imports. An attacker can execute arbitrary code by including dangerous functions from builtins, such as __import__, which will be executed when the malicious file is loaded under the assumption that it is safe because it is tagged LIKELY_SAFE.

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