CVE-2024-24565 Scanner

CrateDB is a distributed SQL database tailored for real-time processing, allowing businesses to handle vast data volumes efficiently. It caters to organizations requiring swift data analytics and seamless integration across applications. CrateDB stands out for its ability to manage structured and unstructured data, offering powerful data ingestion and visualization features. It's widely used in IoT applications due to its scalability and high availability. The platform helps developers easily implement complex queries, providing rapid data insights. With its flexible setup, CrateDB supports cloud-based and on-premises implementations for diverse business needs.

The Arbitrary File Read vulnerability in CrateDB arises from insufficient input validation, leading to potential data leaks. Attackers could exploit the vulnerability by importing files arbitrarily through the COPY FROM function. This function was intended to facilitate data importation into tables; however, it exposes unauthorized file access points. The flaw specifically permits unauthorized file reads, including sensitive configuration files. Such vulnerabilities allow attackers to bypass normal access controls, thereby compromising data confidentiality. Exploits require authentication, making it crucial for environments with exposed CrateDB instances.

Technical exploitation of this vulnerability involves utilizing SQL commands to exploit the COPY FROM function. The vulnerability primarily targets the endpoint configured to handle data import requests. During an attack, crafted SQL statements are used to create tables and import data from sensitive file paths, such as '/etc/passwd'. The technique is reliant on misconfigured settings or insufficient validation of file paths within the CrateDB SQL command execution. Properly monitoring network traffic for abnormal sequences or unauthorized commands can be critical in identifying attempts at exploitation.

If exploited, the Arbitrary File Read vulnerability could expose confidential data stored in accessible files within the database's environment. It could lead to unauthorized data retrieval, which could then be leveraged for further attacks, such as privilege escalation or lateral movement within a network. The breach of sensitive information might result in reputational damage and violation of privacy regulations, necessitating immediate mitigation strategies. Additionally, exploited environments could suffer from data integrity issues, affecting business operations and decision-making processes.

REFERENCES

• https://nvd.nist.gov/vuln/detail/CVE-2024-24565