CVE-2024-7790 in DevikaAI
Summary
by MITRE • 08/14/2024
A stored cross site scripting vulnerabilities exists in DevikaAI from commit 6acce21fb08c3d1123ef05df6a33912bf0ee77c2 onwards via improperly decoded user input.
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Analysis
by VulDB Data Team • 03/15/2025
The stored cross site scripting vulnerability identified as CVE-2024-7790 affects the DevikaAI platform and represents a critical security flaw that allows attackers to inject malicious scripts into stored content. This vulnerability manifests when user input is improperly decoded during processing, creating an avenue for persistent malicious code execution. The issue emerged from commit 6acce21fb08c3d1123ef05df6a33912bf0ee77c2 onwards, indicating a specific code change that introduced the security gap in the application's data handling mechanisms. The vulnerability falls under CWE-79 which specifically addresses cross site scripting flaws in web applications, where improper input validation and output encoding create opportunities for attackers to execute malicious scripts in the context of affected users' browsers.
The technical implementation of this vulnerability involves the application's failure to properly sanitize or encode user-provided data before storing it in the database. When legitimate users interact with the application and submit content that contains malicious script payloads, these inputs are stored without adequate decoding or sanitization measures. Subsequently, when other users access this stored content, the malicious scripts execute in their browsers, potentially leading to session hijacking, credential theft, or other malicious activities. The stored nature of this vulnerability means that the attack persists even after the initial injection, making it particularly dangerous as it can affect multiple users over extended periods without requiring repeated exploitation attempts.
The operational impact of CVE-2024-7790 extends beyond simple data corruption or user inconvenience, as it creates a persistent threat vector that can be leveraged for advanced persistent threats. Attackers can use this vulnerability to establish backdoors, steal sensitive information from authenticated sessions, or redirect users to malicious sites for phishing attacks. The vulnerability's presence in DevikaAI applications means that any user-generated content that gets stored and subsequently displayed to other users could serve as an attack vector. This threat is particularly concerning in AI platforms where users may share complex data inputs, code snippets, or configuration details that could contain embedded malicious payloads. The vulnerability creates a significant risk for organizations relying on DevikaAI for sensitive operations, as it undermines the integrity and security of user interactions within the platform.
Mitigation strategies for CVE-2024-7790 should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application's data processing pipeline. Organizations should ensure that all user inputs are properly sanitized before storage and that appropriate encoding is applied when rendering content to users. The fix should involve implementing proper HTML entity encoding, content security policies, and input validation that prevents script execution in stored data. Security teams should also consider implementing automated scanning tools that can identify and flag potentially malicious content before it gets stored in the database. Additionally, regular security audits and code reviews should be conducted to prevent similar vulnerabilities from emerging in future development cycles, with particular attention to changes in data handling and processing logic that could introduce similar flaws. The remediation efforts should align with industry standards such as OWASP Top Ten and NIST cybersecurity guidelines to ensure comprehensive protection against cross site scripting attacks.