CVE-2024-4701
Java vulnerability analysis and mitigation

Overview

A critical remote code execution (RCE) vulnerability has been discovered in Genie, Netflix's open-source job orchestration engine for big data processing. The vulnerability, identified as CVE-2024-4701 with a CVSS score of 9.9, was discovered and reported by security researchers. Genie, developed by Netflix, is used extensively to manage big data jobs across multiple distributed processing clusters and supports various platforms like Hadoop, Pig, Hive, Spark, Presto, and Sqoop (Dark Reading, Security Online).

Technical details

The vulnerability exists in Genie's API that handles file uploads, where it accepts a user-supplied filename as part of the multipart/form-data request. The flaw allows attackers to manipulate the filename parameter to perform path traversal attacks, enabling them to write files outside of the intended storage path. This technique allows writing files with arbitrary content to any location where the Java process has write permissions. The issue affects all versions of Genie OSS prior to 4.3.18 (Netflix Advisory).

Impact

Successful exploitation of CVE-2024-4701 could allow attackers to execute arbitrary code on vulnerable Genie servers, potentially leading to complete system compromise. The vulnerability could expose sensitive information including credentials for back-end systems, application code and data, and sensitive operating system files. The impact is particularly severe for organizations running their own Genie OSS instances that store file attachments locally on the underlying file system (Dark Reading).

Mitigation and workarounds

Netflix has addressed this vulnerability in Genie OSS version 4.3.18. Organizations are strongly advised to upgrade to this patched version immediately. For those unable to update immediately, it is recommended to limit network access to the Genie application and ensure it is not accessible from the Internet (Netflix Advisory).

Additional resources


SourceThis report was generated using AI

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