Apache Hadoop YARN ResourceManager Remote Code Execution Scanner
Detects 'Remote Code Execution (RCE)' vulnerability in Apache Hadoop YARN ResourceManager. This vulnerability allows attackers to execute malware, obtain sensitive information, modify data, and gain full control over a compromised system.
Short Info
Level
Low
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
2 weeks 3 hours
Scan only one
URL
Toolbox
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Apache Hadoop YARN ResourceManager is a critical component used in big data processing frameworks. It's employed by organizations handling large datasets to manage and schedule resources effectively across distributed systems. The software enables efficient resource allocation which is fundamental in processing massive data volumes in industries like finance, telecommunications, and research. Its ability to handle vast quantities of data efficiently makes it a preferred choice for data engineers and analysts. Moreover, organizations leverage YARN's scalability to cater to dynamic workloads without compromising performance. The streamlined resource management results in optimized computational efficiency and reduced operational costs.
The vulnerability identified is a Remote Code Execution (RCE) flaw in the Apache Hadoop YARN ResourceManager. This vulnerability allows attackers to execute arbitrary code on the affected system remotely. RCE vulnerabilities are highly critical because they can potentially allow an attacker to take complete control of a system. Exploiting this vulnerability does not require prior authentication, making it a lucrative vector for exploitation. Attackers can leverage this flaw to compromise system integrity, confidentiality, and availability. Addressing such vulnerabilities is urgent to prevent potential exploitation leading to severe impacts like data breaches and service disruptions.
The vulnerability specifically resides in the ResourceManager's ability to handle certain HTTP POST requests. Attackers can send crafted requests to the endpoint located at the path '/ws/v1/cluster/apps/new-application' allowing them to execute arbitrary commands. The successful exploitation requires crafting a request that bypasses validation checks and triggers execution of unintended code. The matchers used in identifying the flaw focus on specific response elements like 'application-id' and 'maximum-resource-capability'. A valid 200 HTTP status response after such a crafted request indicates a successful exploitation attempt. This vulnerability can significantly escalate the risk profile of organizations relying on vulnerable Hadoop deployments.
Exploiting this vulnerability can lead to devastating consequences, such as unauthorized access and control over the Hadoop cluster. This can enable attackers to deploy malware, conduct surveillance, or extract sensitive data from the cluster. Furthermore, attackers could manipulate or corrupt critical data, impacting the business operations and processes that rely on accurate data insights. The potential to disrupt services and cause downtime can translate into financial losses and reputational damage for affected organizations. Comprehensive mitigation strategies are crucial to shore up defenses against this serious vulnerability.
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