CVE-2018-8009 in Hadoop
Summary
by MITRE
Apache Hadoop 3.1.0, 3.0.0-alpha to 3.0.2, 2.9.0 to 2.9.1, 2.8.0 to 2.8.4, 2.0.0-alpha to 2.7.6, 0.23.0 to 0.23.11 is exploitable via the zip slip vulnerability in places that accept a zip file.
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Analysis
by VulDB Data Team • 01/11/2026
The vulnerability identified as CVE-2018-8009 represents a critical security flaw in Apache Hadoop versions spanning multiple release lines including 3.1.0, 3.0.0-alpha through 3.0.2, 2.9.0 through 2.9.1, 2.8.0 through 2.8.4, 2.0.0-alpha through 2.7.6, and 0.23.0 through 0.23.11. This vulnerability manifests through the zip slip vulnerability pattern which occurs when applications extract compressed archive files without proper validation of file paths contained within the archive. The flaw specifically affects components within Hadoop that process zip files, creating an opportunity for malicious actors to exploit path traversal mechanisms during file extraction operations. The vulnerability is categorized under CWE-22, which describes improper limitation of a pathname to a restricted directory, commonly known as path traversal or directory traversal attacks. This weakness allows attackers to access files and directories outside the intended scope of the application, potentially leading to unauthorized data access, system compromise, or denial of service conditions.
The technical exploitation of this vulnerability occurs when Hadoop components process zip archives containing specially crafted file paths that include directory traversal sequences such as ../ or ..\ in their filenames. During the extraction process, these malicious paths can cause files to be written outside the intended target directory, potentially overwriting critical system files or placing malicious content in privileged locations. The zip slip vulnerability specifically targets applications that use standard extraction libraries without implementing proper path validation checks before writing extracted files to disk. Attackers can leverage this weakness to execute arbitrary code by placing malicious executables in system directories or to escalate privileges by modifying configuration files and binaries that are subsequently executed by the Hadoop service. The vulnerability is particularly concerning in distributed computing environments where Hadoop processes may have elevated privileges and where unauthorized access to system resources could compromise entire clusters.
The operational impact of CVE-2018-8009 extends beyond simple file access violations and can result in significant system compromise within Hadoop deployments. Organizations running affected versions of Hadoop are exposed to potential privilege escalation attacks, data exfiltration, and service disruption. The vulnerability can be exploited through various attack vectors including web interfaces, batch job submissions, or any component within the Hadoop ecosystem that accepts and processes zip file inputs. This attack surface is particularly dangerous because Hadoop clusters often operate with elevated privileges and may have access to sensitive corporate data, making successful exploitation potentially catastrophic for organizations. The vulnerability also aligns with several techniques documented in the ATT&CK framework under the privilege escalation and persistence domains, where attackers can use path traversal to establish backdoors or maintain access to compromised systems. Security teams must consider the potential for lateral movement within cluster environments and the risk of data exposure across multiple nodes that may share common file systems or network resources.
Organizations should implement immediate mitigations including upgrading to patched versions of Apache Hadoop, specifically versions that address the zip slip vulnerability in their file extraction components. The recommended approach involves applying security patches released by Apache Software Foundation, which typically include enhanced path validation and sanitization of file paths during archive extraction operations. Additionally, administrators should implement network segmentation and access controls to limit exposure of Hadoop components to untrusted inputs, particularly in web-facing interfaces or APIs that process user-supplied zip files. Security monitoring should be enhanced to detect suspicious file extraction patterns and unauthorized file system modifications. The implementation of input validation controls, including the use of secure coding practices that enforce proper path validation before file operations, is essential. Organizations should also consider implementing automated scanning tools to identify potentially vulnerable components within their Hadoop installations and establish procedures for regular security assessments of their distributed computing environments. The vulnerability highlights the importance of maintaining up-to-date security practices and the need for comprehensive security awareness training for administrators working with distributed systems.