Kavita Local File Inclusion Scanner

The Kavita software is used by literary enthusiasts and organizations that manage digital libraries for organizing and reading e-books and comics. It is typically deployed in environments that demand efficient cataloging and access management, such as public libraries, educational institutions, and private collections. The software supports a wide variety of file formats and is praised for its intuitive interface and flexibility. Organizations value Kavita for its open-source nature, allowing for customization to fit specific needs. The platform's repository accessibility makes it an attractive option for developers to contribute and improve. This software is vital for enabling streamlined management of vast amounts of textual data.

Local File Inclusion (LFI) is a vulnerability that allows an attacker to include files on a server through the web browser. The flaw occurs when the web application does not properly sanitize user-generated input in file paths. Attackers can exploit this vulnerability to access sensitive files and execute scripts from the server's file system. LFI is often exploited to gain unauthorized access to server data or to execute malicious scripts. This type of vulnerability can lead to significant data breaches, especially in server configurations that expose environmental variables or database credentials. Exploitations can also be a stepping stone to gaining further control over the affected system.

The technical aspect of the vulnerability within Kavita pertains to its endpoint '/api/image/cover-upload', which does not validate the 'filename' parameter. An attacker can manipulate this field to traverse directories and include unintended files. The lack of input sanitization allows directory traversal characters, like '../', posing a threat of unauthorized file access. Furthermore, as demonstrated in the reference, targeting configuration files can expose sensitive connection strings and token keys, escalating the security risk. Furthermore, the end point's susceptibility is indicative of insufficient input validation controls or checks being in place.

If exploited, this vulnerability may lead to unintended exposure of critical configuration files, revealing sensitive data such as database connection information and authentication keys. Such exposure can undermine the security of the entire application and its data. It may facilitate further attacks, including data breaches, unauthorized access, or service disruptions. Additionally, exploitation could allow attackers to execute malicious scripts, propagating malware or launching more severe exploits. Consequently, both operational and customer trust damages might ensue.

REFERENCES

• https://huntr.dev/bounties/2eef332b-65d2-4f13-8c39-44a8771a6f18/