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Securing Parquet Files: Vulnerabilities, Mitigations, and Validation
- Parquet files are widely used for columnar data storage in big data ecosystems, by frameworks like Apache Spark and Hadoop, due to high-performance compression and effective data storage.
- Recent examples such as CVE-2025-0851 and CVE-2022-42003 highlight security risks stemming from vulnerabilities in open-source Java libraries.
- Careful dependency management, updates, and security audits are crucial for open-source libraries to avoid vulnerabilities in systems.
- A critical vulnerability (CVSS 10.0) was reported in the Parquet-Avro module due to deserialization of untrusted schemas, enabling arbitrary code execution.
- An attack scenario exploiting this vulnerability involves crafting a malicious Parquet file with corrupted Avro schema, delivering it to the victim system, and executing the exploit payload during file processing.
- Mitigation steps include conducting a dependency audit, validating file sources, auditing and monitoring logs, restricting access and permissions, and securing file sources.
- By upgrading to patched versions, enforcing schema validation, monitoring logs, implementing RBAC and network segmentation, and processing files from trusted sources only, organizations can enhance the security of data pipelines.
- Ensuring adherence to industry standards and robust security measures is essential for safeguarding data pipelines and protecting sensitive information in distributed systems.
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