CVE-2024-51716 in Twitter Real Time Search Scrolling Plugin
Summary
by MITRE • 11/09/2024
Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting') vulnerability in Gopi.R Twitter real time search scrolling allows Reflected XSS.This issue affects Twitter real time search scrolling: from n/a through 7.0.
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Analysis
by VulDB Data Team • 02/28/2025
This vulnerability represents a classic reflected cross-site scripting flaw that undermines the security of the Gopi.R Twitter real time search scrolling component. The issue stems from inadequate input sanitization during web page generation processes where user-supplied data is directly incorporated into dynamic web content without proper neutralization. The vulnerability affects versions ranging from n/a through 7.0, indicating a widespread exposure across multiple iterations of the software component. From a cybersecurity perspective, this represents a critical weakness that aligns with CWE-79, which specifically addresses cross-site scripting vulnerabilities where untrusted data is processed and rendered in web applications without adequate validation or encoding.
The technical implementation of this flaw allows attackers to inject malicious scripts through specially crafted input parameters that are then reflected back to users browsing the affected application. When users interact with the real time search functionality, any malicious payloads embedded in search queries or other input fields can execute within the victim's browser context. This creates a persistent threat vector that can be exploited to hijack user sessions, steal sensitive information, or redirect users to malicious domains. The reflected nature of the vulnerability means that the malicious script must be crafted to match the specific request parameters, making it particularly challenging to detect and prevent without proper input validation mechanisms.
The operational impact of this vulnerability extends beyond simple script execution, as it can enable sophisticated attack chains that leverage the compromised application to perform actions on behalf of authenticated users. Attackers can exploit this weakness to create persistent backdoors, harvest cookies, or manipulate the application's behavior to gain unauthorized access to user accounts. The real time search functionality becomes a particularly attractive target since it processes user input continuously, providing multiple opportunities for exploitation. This vulnerability also aligns with ATT&CK technique T1566, which covers social engineering through malicious content delivery, as users are likely to encounter the reflected payloads while performing legitimate search activities.
Mitigation strategies should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application's data flow. The most effective approach involves sanitizing all user-supplied input before it is processed or rendered in web pages, utilizing established libraries and frameworks that provide automatic escaping for different contexts. Implementing proper Content Security Policy headers can provide additional defense in depth, while regular security testing including dynamic application security testing and manual code reviews can help identify similar vulnerabilities. Organizations should also consider implementing web application firewalls to detect and block malicious payloads, and establish secure coding practices that prevent similar issues from emerging in future development cycles. The remediation process should include thorough regression testing to ensure that input sanitization does not inadvertently break legitimate application functionality while maintaining robust protection against cross-site scripting attacks.