Apache Parquet is an open-source, columnar storage file format designed for efficient big-data processing (e.g., with Hadoop, Spark, and other analytics engines).
Apache Parquet is a technology platform tracked across 2 threat clusters and 1 intelligence report mention on ThreatCluster. First observed October 29, 2025; most recent activity October 29, 2025.
Apache Parquet is an open-source, columnar storage file format designed for efficient big-data processing (e.g., with Hadoop, Spark, and other analytics engines). It uses columnar storage, compression, and a rich schema to enable fast queries and reduced I/O. In cybersecurity terms, Parquet-based data stores and pipelines can become targets for misconfigurations, data leakage from unsecured access, and rapid exfiltration across analytics workloads if not properly secured.
Tata Motors, an Indian automotive company, exposed over 70 terabytes of sensitive data due to critical security lapses involving AWS keys. Security researcher Eaton Zveare identified the vulnerabilities in Tata Motors'…
Tata Motors, an Indian automotive company, exposed over 70 terabytes of sensitive data due to critical security lapses involving AWS keys. Security researcher Eaton Zveare identified the flaws in the company's E-Dukaan…
Apache Parquet is an open-source, columnar storage file format designed for efficient big-data processing (e.g., with Hadoop, Spark, and other analytics engines).
The most recent intelligence report mentioning Apache Parquet on ThreatCluster is dated October 29, 2025.
Across ThreatCluster reporting, Apache Parquet most frequently co-occurs with Data Breach, Amazon Web Services (AWS), Tata Motors, India, Automotive, among 10 tracked related entities.
The most significant recent cluster is “Tata Motors Exposes 70TB of Sensitive Data Due to Security Flaws” (2 articles · Updated October 30, 2025). Apache Parquet appears across 2 threat clusters in total, listed above with sources.
Apache Parquet appears in 1 intelligence report mention across 2 deduplicated threat clusters, aggregated from 17,000+ monitored sources.