Yandex Translate Content-Security-Policy Bypass Scanner

Yandex Translate is a popular translation service widely used by individuals and businesses to translate text between different languages. It is integrated into web applications to provide multilingual support for users worldwide. The service is accessible via APIs and is used in diverse sectors including education, travel, and e-commerce. Its integration allows websites to deliver content in numerous languages, enhancing user experience across borders. Yandex Translate is considered a critical tool for businesses looking to expand their reach to non-English speaking audiences. As a cloud-based service, it ensures high availability and efficient processing for translation tasks.

Cross-Site Scripting (XSS) vulnerabilities occur when attackers inject malicious scripts into web pages viewed by other users. In the context of Yandex Translate, such vulnerabilities could allow an attacker to bypass Content-Security-Policy (CSP) directives. CSP is designed to prevent certain types of attacks, such as XSS, by restricting the sources from which scripts can be loaded. A successful CSP bypass could permit unauthorized script execution within the web application’s context, potentially compromising sensitive user data or application integrity. Identifying and mitigating these vulnerabilities is critical to maintaining the security of web applications relying on Yandex Translate services. This scanner specifically addresses the detection of potential CSP bypass issues related to Yandex Translate.

The technical details involve detecting Content-Security-Policy headers and verifying their efficacy against bypass attempts. The scanner performs a series of actions including navigating to web pages and attempting to inject scripts through the Yandex Translate API. The payload used is a script injection that calls a Yandex-specific endpoint, potentially executing alert commands on vulnerable web pages. The scanner checks for the presence of Yandex CSP headers and ensures they are not susceptible to bypasses. Detection involves evaluating responses and determining if restrictions set by CSP can be circumvented by the injection attempts. This automated process allows for precise identification of security misconfigurations that could expose web applications to XSS attacks.

Exploiting a CSP bypass vulnerability could lead to serious consequences for a web application. Malicious actors may execute arbitrary scripts, leading to data theft, user session hijacking, or defacement of web content. Users’ private information could be exposed, resulting in financial losses or identity theft. For businesses, such vulnerabilities could damage brand reputation, erode customer trust, and result in regulatory penalties. Furthermore, compromised web applications could become vectors for further attacks, affecting partners and end-users. The scanner aims to prevent such scenarios by identifying weaknesses in CSP implementations, allowing for timely remediation before exploitation occurs.

REFERENCES

• https://github.com/renniepak/CSPBypass/blob/main/data.tsv