CVE-2015-7782 in Frame High-Speed Chat
Summary
by MITRE
Cross-site scripting (XSS) vulnerability in Let's PHP! Frame high-speed chat before 2015-09-22 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.
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Analysis
by VulDB Data Team • 05/26/2018
The CVE-2015-7782 vulnerability represents a critical cross-site scripting flaw discovered in the Let's PHP! Frame high-speed chat software prior to the release date of September 22, 2015. This vulnerability falls under the broader category of web application security weaknesses that enable malicious actors to execute unauthorized code within the context of a user's browser session. The vulnerability's classification aligns with CWE-79 which specifically addresses cross-site scripting attacks where untrusted data is improperly incorporated into web pages without proper validation or encoding mechanisms. The affected software's failure to adequately sanitize user inputs creates an exploitable condition that allows remote attackers to inject malicious scripts into the application's response stream.
The technical nature of this vulnerability stems from the application's insufficient input validation and output encoding practices within its chat functionality. Attackers can exploit unspecified vectors to inject arbitrary web scripts or HTML content that gets executed when other users view the affected chat messages. This type of vulnerability operates at the application layer and specifically targets the user interface components where chat messages are rendered, making it particularly dangerous in real-time communication environments. The vulnerability's impact extends beyond simple script execution as it can potentially enable session hijacking, credential theft, or redirection to malicious websites through the exploitation of the XSS vector.
The operational impact of CVE-2015-7782 is significant within the context of real-time chat applications where user-generated content flows continuously. In a high-speed chat environment, the vulnerability could be exploited to inject malicious payloads that compromise user sessions, steal sensitive information, or redirect users to phishing sites. The attack surface is particularly broad since chat applications typically process a wide variety of user inputs including text messages, links, and potentially formatted content. This vulnerability directly violates the principle of least privilege and proper input sanitization that should be enforced in all web applications. The potential for mass exploitation exists when multiple users are exposed to malicious content within the chat interface, making it a particularly concerning security flaw in collaborative communication platforms.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application's codebase. The recommended approach includes sanitizing all user inputs using established security libraries and frameworks that properly encode special characters before rendering content in web pages. Implementing Content Security Policy headers can provide additional protection against script injection attempts by restricting the sources from which scripts can be loaded. Regular security audits and code reviews should be conducted to identify similar vulnerabilities in other parts of the application. The vulnerability also highlights the importance of keeping software updated and applying security patches promptly, as the affected version was released before the specified date of September 22, 2015. Organizations should also consider implementing web application firewalls and intrusion detection systems to monitor for suspicious patterns that may indicate exploitation attempts. This vulnerability serves as a reminder of the critical importance of secure coding practices and proper input validation in preventing widespread exploitation of web application flaws. The ATT&CK framework categorizes this vulnerability under the technique of code injection, specifically targeting web applications where user input is not properly sanitized, making it a prime example of how seemingly minor input validation flaws can lead to significant security breaches.