Apache Parquet Vulnerability: A Potential Threat to Big-Data Frameworks
Introduction
A recent discovery within the Apache Parquet library has sparked concerns among developers and security experts regarding its potential susceptibility to remote code execution (RCE) attacks. The Parquet-avro module, a part of the library, allows for the deserialization of untrusted data, enabling malicious actors to execute crafted Parquet files remotely. This vulnerability affects not only the Apache Parquet library but also popular big-data frameworks like Hadoop, Spark, and Flink that rely on it.
The Vulnerability
The vulnerability, identified as CVE-2025-30065, resides within the Parquet-avro module. This module enables the deserialization of untrusted data, allowing attackers to execute arbitrary code on victim systems. The consequence of this vulnerability is severe, as it grants attackers control over systems, enabling them to tamper with or steal data, install malware, or disrupt services.
Affected Applications and Frameworks
Any application or service that utilizes the Java library is susceptible to attacks. This includes:
- Hadoop
- Spark
- Flink
These frameworks, widely used in big-data processing and analytics, are now under threat due to this vulnerability.
Current Status
Despite the severity of the vulnerability, there have been no reported exploit attempts as of the publication of this article. Apache silently released a fix with the update of 1.15.1 on March 16, 2025. The changes made in this update are available on the official GitHub repository.
Conclusion
The Apache Parquet vulnerability is a significant concern for developers and users of big-data frameworks. The potential for remote code execution attacks is a serious threat that must be addressed promptly. It is essential for developers to update their applications and services to the latest version of the library to prevent potential attacks.
FAQs
Q: What is the Apache Parquet library?
A: The Apache Parquet library is a widely used library for storing and processing large datasets in a columnar format.
Q: What is the Parquet-avro module?
A: The Parquet-avro module is a part of the Apache Parquet library that enables the deserialization of untrusted data.
Q: What is the vulnerability CVE-2025-30065?
A: CVE-2025-30065 is a vulnerability within the Parquet-avro module that allows for the deserialization of untrusted data, enabling remote code execution attacks.
Q: Which applications and frameworks are affected by the vulnerability?
A: The vulnerability affects applications and services that use the Java library, including Hadoop, Spark, and Flink.
Q: Has there been any reported exploit attempts?
A: No, as of the publication of this article, there have been no reported exploit attempts using CVE-2025-30065.
Q: What should I do to mitigate this vulnerability?
A: Update your applications and services to the latest version of the Apache Parquet library (1.15.1) to prevent potential attacks.
