Smartbi Deserialization of Untrusted Data Scanner

Smartbi is a big data analysis platform designed to facilitate data management and insights for various enterprises and organizations. Used by data analysts and business intelligence professionals, Smartbi allows for complex data processing and visualization. The software supports different data sources, providing interactive and intuitive dashboards for end-users. It is commonly employed in sectors ranging from finance and retail to educational institutions. The customizable nature of Smartbi makes it suitable for both small and large deployments, offering scalability as data demands grow. Its comprehensive suite of features enables teams to make informed decisions by leveraging data effectively.

The Deserialization of Untrusted Data vulnerability in Smartbi poses a significant security risk by allowing unauthorized parties to upload and execute malicious code remotely. This issue arises because the application improperly processes serialized data without adequate validation or sanitization, which can lead to serious security breaches. Malicious actors can exploit this flaw to run arbitrary code, potentially gaining unauthorized access to sensitive information or system resources. Without proper safeguards, deserialization attacks can result in complete system compromise. The vulnerability highlights the importance of implementing strict input validation and secure data processing practices. Awareness and timely patching are crucial to prevent exploitation of this deserialization flaw.

This specific vulnerability is tied to the Smartbi windowunloading interface, where an unauthenticated remote attacker can exploit the stub interface to forge requests. By manipulating parameters such as "className" and "methodName," attackers can bypass security patches that block unauthorized actions. The attack targets specific endpoints like "/smartbi/vision/RMIServlet" that process the serialized content from client-side requests. Through crafting specially designed payloads, the attacker can influence the server to execute unwanted commands, ultimately risking the theft of data or control over the system. Continuous monitoring of request patterns and endpoint behavior is required to identify and mitigate such attacks effectively.

Exploitation of this vulnerability can lead to severe consequences including unauthorized remote code execution and data leakage. Attackers may gain elevated privileges, allowing them to manipulate the platform's configuration or extract confidential business data. Compromised systems could be used to perpetrate further attacks within the network, escalating the threat landscape. Damage to the system's integrity and reputation could be substantial, resulting in loss of customer trust and potential financial penalties. Organizations must prioritize addressing this vulnerability to maintain operational security and safeguard sensitive assets.

REFERENCES

• https://stack.chaitin.com/techblog/detail?id=122
• https://github.com/zan8in/afrog/blob/main/v2/pocs/afrog-pocs/vulnerability/smartbi-windowunloading-other.yaml
• https://github.com/Threekiii/Awesome-POC/blob/master/Web%E5%BA%94%E7%94%A8%E6%BC%8F%E6%B4%9E/Smartbi%20%E8%BF%9C%E7%A8%8B%E5%91%BD%E4%BB%A4%E6%89%A7%E8%A1%8C%E6%BC%8F%E6%B4%9E.md