DataHub Metadata Default Login Scanner

DataHub Metadata is a software platform primarily used by data engineers and analysts to manage and organize large datasets. It facilitates metadata storage, data lineage, and collaboration within data teams, and is typically utilized by organizations handling vast amounts of data. The system is commonly employed in sectors like tech, finance, and other data-intensive industries to streamline data processes. By enabling visibility into data assets and enhancing data governance, DataHub aids in maintaining data integrity and accessibility. It provides an integrated environment for metadata management and can be adapted to various data infrastructures, making it a versatile tool. As open-source software, it benefits from community-driven improvements, ensuring it remains relevant to current industry needs.

The default login vulnerability in DataHub Metadata poses a significant security risk by allowing unauthorized access to the system. It exists due to the use of generic usernames and passwords that are often left unchanged post-deployment. This flaw can provide attackers the opportunity to exploit user accounts and compromise sensitive information. Unauthorized users may gain the ability to alter or delete data, potentially disrupting business operations and leading to data breaches. The vulnerability underscores the importance of modifying default credentials to enhance system security. By identifying and addressing default logins, organizations can prevent unauthorized access and protect their digital assets.

The vulnerability is characterized by the presence of pre-set usernames and passwords in DataHub's authentication system. Attackers can input the default credentials to gain access to administrative or user-level accounts. The vulnerability can be exploited by targeting the login endpoint with a POST request containing a standard username and password. Upon successful login, attackers may receive a cookie in the header indicating access to the account. The oversight in altering default credentials post-installation is a common weakness that can be targeted by automated scripts seeking vulnerable systems. The vulnerability exists partly due to ease-of-use features intended to simplify initial setup at the cost of security.

If exploited, this vulnerability could lead to unauthorized data access, modification, or destruction. Attackers could infiltrate systems, bypassing established security protocols, and carry out malicious activities undetected. Such breaches can result in the loss of sensitive information, disrupt business operations, and damage organizational reputation. The financial implications could include potential fines for non-compliance with data protection regulations and the cost of remediating the breach. Additionally, compromised systems could be used to launch further attacks within the network or against external targets. Organizations could face legal repercussions and loss of customer trust in the event of data exposure.

REFERENCES

• https://github.com/datahub-project/datahub/blob/master/docs/rfc/active/access-control/access-control.md