CVE-2026-39038 in BharatMLStack
Summary
by MITRE • 09/15/2026
BharatMLStack up to and including v1.3.0 is vulnerable to Cross Site Scripting (XSS) in the component Trufflebox UI (trufflebox-ui) in GenericNumerixTable.jsx.
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Analysis
by VulDB Data Team • 09/15/2026
The vulnerability identified within BharatMLStack versions up to 1.3.0 represents a significant security flaw located specifically within the Trufflebox UI component, more precisely in the file named GenericNumerixTable.jsx. This implementation error falls under the category of Cross-Site Scripting, commonly abbreviated as XSS, which is consistently ranked among the most critical web application vulnerabilities by industry standards such as CWE-79. The root cause lies in the improper handling and rendering of user-supplied input within this specific table component. When data entered or injected into the GenericNumerixTable.jsx module is processed without adequate sanitization or context-aware encoding, malicious scripts can be embedded directly into the page content rendered to end-users. This failure to neutralize special characters allows an attacker to inject client-side code that executes in the victim's browser under the security context of the vulnerable application.
From a technical perspective, this vulnerability likely stems from the use of unsafe rendering methods or the direct interpolation of untrusted data into the DOM without proper escaping mechanisms. In modern JavaScript frameworks and libraries used within Trufflebox UI, developers must explicitly ensure that dynamic content is sanitized before being displayed. The absence of these safeguards in GenericNumerixTable.jsx means that any input field associated with this component becomes a potential vector for attack. An attacker could craft a malicious payload containing JavaScript code, HTML tags, or event handlers and submit it through the application interface. Once another user views the affected page, their browser will parse and execute the injected script as if it were legitimate content from the trusted domain of BharatMLStack.
The operational impact of this vulnerability is severe due to its potential for session hijacking, credential theft, and defacement. Since XSS attacks are executed in the context of the victim's session, an attacker can access sensitive information such as authentication cookies, session tokens, or personally identifiable data stored within local storage or application state. Furthermore, the malicious script can perform actions on behalf of the user without their knowledge, potentially modifying settings, submitting forms, or redirecting the user to phishing sites designed to capture further credentials. This undermines the integrity and confidentiality guarantees provided by the BharatMLStack platform, eroding trust among users who rely on the system for machine learning operations and data analysis.
In terms of threat modeling, this vulnerability aligns with MITRE ATT&CK technique T1059, specifically sub-technique 007 which covers JavaScript execution within web browsers. It also relates to injection attacks where untrusted data is sent to an interpreter as part of a command or query. The persistence and propagation potential vary depending on whether the stored XSS variant is exploited if input is saved server-side, or reflected XSS if it occurs immediately upon request processing. Regardless of the specific vector, the ability to execute arbitrary code in the user's browser constitutes a high-severity risk that requires immediate remediation.
To mitigate this vulnerability, developers must implement robust input validation and output encoding strategies within the GenericNumerixTable.jsx component. This involves ensuring that all dynamic data is encoded according to its context before being rendered into HTML, JavaScript strings, or CSS properties. Utilizing built-in framework features for automatic escaping can significantly reduce the risk of accidental injection. Additionally, implementing a Content Security Policy (CSP) header with strict directives regarding script sources can provide an additional layer of defense by restricting where scripts are allowed to load from and preventing inline script execution unless explicitly whitelisted. Regular security audits and static code analysis tools should be integrated into the development pipeline to detect such flaws early in the software lifecycle, ensuring that future versions of BharatMLStack maintain a secure posture against client-side injection attacks.