Golang Exposure Scanner
This scanner detects the use of Golang Expvar Exposure in digital assets. It highlights vulnerabilities associated with public variable exposure via HTTP in Golang applications.
Short Info
Level
Low
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
10 days 13 hours
Scan only one
URL
Toolbox
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The Golang programming language is used by developers to build scalable and efficient software applications across various platforms. It is particularly favored for web servers, cloud-based applications, and distributed systems due to its concurrency support and performance. Companies and developers choose Golang for creating microservices and API services owing to its simplicity and powerful features. Golang's growing ecosystem includes various libraries and tools that assist in fast application development. As more projects adopt Golang, security in Golang applications becomes crucial to maintain confidentiality, integrity, and availability. Developers and security teams use tools to detect and address vulnerabilities present in Golang applications to ensure secure software delivery.
The identified vulnerability involves the exposure of sensitive data through the expvar package in Golang applications. This package can expose various internal metrics over HTTP endpoints, which could inadvertently leak information. When not properly configured or restricted, these details might include memory statistics, command-line arguments, and more. Attackers could gain insights into the system operation and environment, which could aid in malicious activities. Therefore, this vulnerability needs to be detected and mitigated to avoid unintentional data exposure over HTTP. Detecting such vulnerabilities helps organizations safeguard against exposure of internal metrics.
Technically, the vulnerability is centered around the use of the 'expvar' package exposing data at the '/debug/vars' endpoint. This endpoint can be publicly accessible if not adequately secured, and it typically returns a JSON object with various system metrics. The exposure occurs because endpoints like these often operate without authentication by default, intended for developmental debugging. Attackers can exploit this if they can reach the endpoint, thereby obtaining sensitive operational details. The vulnerability has a simple footprint but potentially widespread impacts if mismanaged in production environments. Thus, detection tools look for specific JSON keys like 'memstats' and 'cmdline' along with HTTP 200 status codes to confirm exposure.
When exploited, this vulnerability might allow attackers to gather internal information about the application under attack and aid further exploitation. This could lead to detailed mapping of system operations, disclosure of deployed application versions, and unauthorized insight into application performance and resource usage. Such disclosure not only presents the risk of data leakage but can also offer potential entry points for more severe attacks. Organizations might face manipulations or service disruptions if attackers exploit these insights. Hence, protecting against such exposures is critical in maintaining the security posture and performance reliability of applications.