Docker Cloud File Disclosure Scanner
This scanner detects the use of Docker Cloud File Disclosure in digital assets. It helps to ensure that Docker Cloud internal YAML files are not exposed to unauthorized individuals.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
23 days
Scan only one
URL
Toolbox
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Docker Cloud is a service used for managing and deploying Docker containers on cloud infrastructure. It is utilized by developers and DevOps teams to streamline the development and deployment process of containerized applications. The service allows users to integrate with version control systems and automate the build pipeline, making it essential for continuous integration and delivery workflows. Docker Cloud supports multiple cloud providers, giving users flexibility in their infrastructure choices. It is widely adopted for its ease of use and ability to manage applications at scale efficiently. Organizations use Docker Cloud to ensure consistent application environments across development, testing, and production stages.
The vulnerability in Docker Cloud involves the exposure of internal YAML files, which contain configuration details. If these files are accessible over the internet without proper access controls, it poses a significant security risk. This type of file disclosure could lead to the unintentional sharing of sensitive configuration settings, including application secrets and environmental variables. Unauthorized disclosure of this information may potentially allow attackers to understand the application's architecture or even inject malicious configurations. Detecting this exposure is crucial in maintaining the integrity and security of applications managed through Docker Cloud. Organizations must routinely verify their configurations to avert any unintentional disclosures.
Technically, the vulnerability refers to the accidental exposure of the 'docker-cloud.yml' file that can be accessed via a specific endpoint in a web server. The file typically contains details about image names, ports, and other configuration parameters. Attackers can look for file patterns under common paths where such configurations might be stored or indexed. The misuse of a regex pattern allows the presence of specific keywords used in YAML files to confirm exposure. Ensuring that proper header checks are performed, distinguishing content types to prevent exposure of files not mine to be public, is a part of the detection mechanism. This template conditions checking server responses to validate this exposure.
If malicious actors exploit this vulnerability, they can gather critical insights about the application environment that aids in planning subsequent attacks. They could potentially manipulate environment variables, understand deployment strategies, and identify weak points for intrusion. Exploitation might cause service disruptions, unauthorized data access, and integrity breaches in application continuity. It can also lead to information leakage and unauthorized lateral movement within the networked systems. Therefore, recognizing and mitigating such vulnerabilities immediately is vital to prevent any severe implications on the system’s security posture.
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