Deserialization of Untrusted Data Affecting docling-core package, versions [2.21.0, 2.48.4)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published25 Jan 2026
- disclosed22 Jan 2026
- creditavioligo
Introduced: 22 Jan 2026
NewCVE-2026-24009 (opens in a new tab)How to fix?
Upgrade docling-core to version 2.48.4 or higher.
Overview
docling-core is an A python library to define and validate data types in Docling.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the load_from_yaml function. An attacker can execute arbitrary code by providing malicious YAML input to the deserialization process.
Note: This is only exploitable if the application uses a vulnerable version of PyYAML (below 5.4) and invokes the affected function with untrusted YAML data - See CVE-2020-14343.
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.