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CVE-2019-11253 Scanner

CVE-2019-11253 Scanner - Denial Of Service vulnerability in Kubernetes API Server

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

11 days 3 hours

Scan only one

Domain, Subdomain, IPv4

Toolbox

Kubernetes API Server is a vital component of the Kubernetes system, widely used by organizations to manage and deploy containerized applications. As the central communication hub in the Kubernetes architecture, it handles various API requests from users, administrators, and clusters to orchestrate container behavior. Its role extends across different infrastructures, supporting cloud-native architectures and hybrid platforms for scalable application management. Many enterprises utilize the Kubernetes API Server to automate deployment, scaling, and management of application containers across clusters. It simplifies workloads across on-premises data centers, public clouds, and hybrid cloud setups, facilitating faster development and deployment processes. Given its prominence, ensuring its security is imperative to maintain uninterrupted operations and protect sensitive application data.

Denial of Service (DoS) attacks occur when an attacker exploits system vulnerabilities, leading to resource exhaustion, rendering the service unavailable. The Kubernetes API Server is susceptible to such attacks through improper parsing of YAML/JSON payloads. Attackers can craft specific payloads causing excessive CPU and memory consumption, known as the Billion Laughs attack. This vulnerability highlights a lack of secure parsing in earlier Kubernetes versions, where malformed requests lead to server crashes or unavailability. Ensuring secure parsing mechanisms is vital to prevent exploitation and maintain the availability of system services. Robust input validation and updated software versions can mitigate such vulnerabilities.

The vulnerability involves the improper parsing of YAML/JSON formats by the Kubernetes API Server. The critical entry points include the handling of specially crafted payloads that lead to exponential memory consumption. Such payloads exploit how the server processes input data, potentially causing service failure through crash exploitation. Specific parameters in YAML/JSON requests become targets for these crafted attacks. The insufficiencies in initial input validations exacerbate the vulnerability, emphasizing a need for improved parsing protocols. Understanding these technical intricacies helps in devising robust defenses against potential exploits targeting the API server's processing mechanism.

When exploited, the vulnerability leads to significant operational issues, affecting service availability and reliability. Malicious exploiters can disrupt the Kubernetes API Server, leading organizations to face substantial downtime and operational constraints. The service unavailability may impact critical business processes, causing reputational and financial damage. Continual attack attempts can induce prolonged downtimes, affecting productivity and prompting user dissatisfaction. Moreover, the vulnerability also poses risks of broader security compromises, with attackers leveraging such weaknesses to initiate further attacks within the network ecosystem. Ensuring robust remediation actions is necessary to sustain operational continuity and security integrity.

REFERENCES

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