Label Studio Open User Registration Scanner
This scanner detects the Label Studio Security Misconfiguration in digital assets.
Short Info
Level
Low
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
26 days 16 hours
Scan only one
Domain, IPv4, Subdomain
Toolbox
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Label Studio is a data labeling tool used by data scientists and machine learning engineers for annotating data for use in training AI models. It is widely utilized across various industries such as healthcare, finance, and technology, where accurate data labeling is crucial for developing reliable AI applications. The tool facilitates collaboration among team members by providing a unified platform that supports various data types, including images, text, and audio. Label Studio is open-source and customizable, allowing organizations to tailor it to their specific labeling workflows. Companies use it to enhance the quality of their datasets, improving the performance of machine learning algorithms. Due to its open-source nature, Label Studio can be integrated into more extensive data processing pipelines, making it a valuable tool for AI development.
Security misconfigurations occur when incorrect settings or configurations enable unauthorized access or expose sensitive information. In this context, Label Studio is vulnerable to security misconfiguration due to the presence of its sign-up page being publicly accessible. Such misconfigurations can lead to potential unauthorized access and compromise the integrity of the data being annotated. It's crucial to secure this misconfiguration to prevent malicious use of the platform, ensuring that only authorized users can create accounts. Misconfigurations like these are common in web applications where default settings are not updated to secure values. Addressing these vulnerabilities involves checking configuration settings and applying best security practices.
The vulnerability in Label Studio arises from its sign-up page, which allows creating new accounts without proper control. The endpoint "/user/signup" becomes vulnerable when it is publicly accessible, inviting unauthorized users or bots to create accounts. This can lead to filling the user base with fake or unauthorized entries, potentially compromising the service’s integrity. The vulnerability involves inadequate control over account creation, making Label Studio susceptible to exploitation. It highlights the need for robust access management and validation to avoid uncontrolled access to the platform. Regular audits of permissions and entry points help maintain security posture against such misconfigurations.
If left unaddressed, the security misconfiguration could allow unauthorized individuals to sign up for access to Label Studio, possibly leading to unauthorized data access or misuse. This could result in the exposure of sensitive data, potentially violating data privacy regulations and trusteeship agreements. Additionally, unauthorized account creation can lead to platform misuse, such as fake account creation, which might degrade service quality for legitimate users. In extreme cases, it could result in data breaches if attackers exploit the misconfiguration to infiltrate further into the system. Maintaining tight security controls over user sign-up processes is essential to mitigating these risks.