S4E

Drone Config Exposure Scanner

This scanner detects the use of Drone Config Exposure in digital assets. It identifies exposure to sensitive configuration files, enhancing security by preventing unauthorized access and possible exploitation.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

13 days 15 hours

Scan only one

URL

Toolbox

-

Drone is a popular continuous integration and deployment platform that automates the testing and delivery of software projects. It is widely used by development teams to streamline their development workflow by providing seamless integration with source code management systems. Drone helps in executing tests, packaging applications, and deploying them across environments automatically. It is designed to be easy to use, flexible, and scalable, making it ideal for both small teams and large enterprises. The platform supports multiple programming languages and frameworks, providing extensive plugins and integrations. Due to its widespread use in agile development processes, ensuring its secure configuration is paramount.

Config exposure vulnerabilities occur when sensitive configuration files are publicly accessible. These files often contain important settings, credentials, and keys that can be misused if discovered by unauthorized users. In the context of Drone, this vulnerability can lead to the exposure of pipeline configurations, which might include secret environment variables. Attackers can exploit this by accessing or manipulating the build process, leading to data breaches or infrastructure compromise. Detecting such exposures is critical to tighten the security of products utilizing Drone.

The technical details of this vulnerability involve scanning the endpoint for the presence of the Drone configuration file typically named `.drone.yml`. This file, if exposed, contains `kind`, `name`, and `steps` attributes that outline the build steps and configurations. Unauthorized access to this file may allow attackers to gain insights into pipeline operations, exploit misconfigurations, or inject malicious steps into build processes. The scanner verifies accessibility by returning HTTP status `200` and looking for specific keywords within the file.

If this vulnerability is exploited, attackers can manipulate or disrupt the build and deployment process, leading to unauthorized code execution or service downtime. They might gain access to environment variables that could contain sensitive information like API keys or database credentials. This could further escalate to compromising the rest of the infrastructure or internal network. The integrity of automated deployment processes may be undermined, resulting in the potential for injecting malicious code into production environments.

REFERENCES

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