Foxit and Apryse Vulnerabilities Expose Users to Account Hijacking and Data Theft Risks

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PDF Platforms Vulnerabilities

A pair of popular PDF platforms, Apryse and Foxit, have been found to contain 16 vulnerabilities that could be exploited to hijack user accounts and steal sensitive data.

Vulnerabilities Found

According to a report from Novee researchers, the flaws affect the Apryse WebViewer and Foxit PDF cloud services, and include DOM-based cross-site scripting, stored and reflected XSS, server-side request forgery, path traversal, and OS command injection vulnerabilities.

The researchers found that attackers could use specially crafted documents, messages, or URLs to execute code, manipulate files, or maintain persistent access to compromised systems. In some cases, the vulnerabilities could be exploited with a single request, and targeted trusted domains that are commonly integrated into enterprise software.

Concerns and Implications

The vulnerabilities are particularly concerning because they can be exploited when the affected viewers are embedded in authenticated applications. This could allow attackers to gain access to sensitive data and systems, even if the user is logged in with valid credentials.

Response and Remediation

Both Apryse and Foxit have confirmed that the vulnerabilities were responsibly disclosed and have been fixed through updates and configuration changes. The vendors worked with the researchers during the remediation process and have strengthened their security measures as a result of the report.

Discovery and Analysis

The use of specialized AI agents powered the analysis that uncovered the vulnerabilities. The researchers noted that several of the vulnerabilities were exploitable with a single request and affected trusted domains that are commonly embedded inside enterprise applications.

Conclusion and Recommendations

The discovery of these vulnerabilities highlights the importance of regularly updating and patching software, particularly in enterprise environments where sensitive data is often at risk. It also underscores the need for organizations to have robust security measures in place to detect and respond to potential threats.