CVE-2024-3408 Scanner

Dtale is a popular interactive visualization library for data processing and analysis used by data scientists, analysts, and engineers. It is commonly employed in enterprises and academia for visual data exploration and reporting. The software provides users with powerful capabilities to interact and manipulate datasets through a web-based interface. Its integration with Python and Pandas makes it particularly favored in the data science community. Dtale facilitates seamless workflows in research, development, and production environments. Users of dtale benefit from streamlined data visualizations and faster insights into their data processes.

This vulnerability in dtale allows attackers to bypass authentication mechanisms and execute arbitrary code remotely. The flaw arises due to improper input validation and the use of a hardcoded SECRET_KEY. Exploiting this issue, attackers can forge session cookies, gaining unauthorized access. By executing malicious code, attackers can achieve full system compromise. The critical nature of this vulnerability demands immediate attention to prevent potential exploitation. Software vulnerabilities of this nature pose severe security risks to affected systems.

The vulnerable endpoint in this scenario is associated with the dtale upload and filters functionalities. Attackers can exploit these endpoints by crafting specific requests that manipulate internal configurations. For instance, the use of an improperly validated session cookie allows unauthorized users to send requests with tailored payloads. These payloads can then invoke system commands through vulnerable query parameters. Such crafted requests lead to the execution of arbitrary code on the server. The abuse of these functionalities jeopardizes the system's security integrity.

Exploitation of this vulnerability could result in total system compromise, allowing attackers to gain unauthorized access and control. Once inside, malicious actors can exfiltrate sensitive data, alter or delete records, and introduce further malicious payloads. This can have devastating consequences, especially if the software manages critical or sensitive datasets. Organizations could face severe data breaches, financial losses, and reputational damage. A delay in addressing this vulnerability could also increase the risk of exploits being sold or shared maliciously.

REFERENCES

• https://huntr.com/bounties/57a06666-ff85-4577-af19-f3dfb7b02f91
• https://github.com/man-group/dtale/commit/32bd6fb4a63de779ff1e51823a456865ea3cbd13